NET Wiki - User contributions [en]

File:ML 11-2.pdf

2015-07-06T08:12:14Z

Ssigg:

File:ML 12.pdf

2015-07-06T08:11:44Z

Ssigg:

File:ML 11.pdf

2015-07-06T08:10:45Z

Ssigg:

File:ML 10.pdf

2015-07-06T08:09:53Z

Ssigg:

Machine Learning and Pervasive Computing (Summer 2015)

2015-07-06T08:09:22Z

Ssigg: /* Schedule */

== Details ==
{{CourseDetails
|credits=180h, 5 ECTS
|module=M.Inf.1223: Spezielle fortgeschrittene Aspekte der Computernetzwerke; ITIS: 3.33
|lecturer=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&moduleCall=webInfo&publishConfFile=webInfoPerson&publishSubDir=personal&keep=y&purge=y&personal.pid=128205 Stephan Sigg]
|ta= --
|time=Mondays, 08.15 - 09.45.; Exercise: (bi-weekly)
|place=IfI 3.101
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=167781&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
}}

==Course Overview==
The course will give a comprehensive overview on Machine learning with applications in Pervasive Computing.

* Course topics
** Introduction to Machine learning
** Features and feature extraction
** Feature subset selection
** Performance metrics
** Rule-based learning
** Regression approaches
** High dimensional data
** Artificial Neural Network learning
** Probabilistic approaches
** Topic models
** nearest neighbour methods
** Unsupervised learning and Clustering
** Anomaly detection
** Recommender systems

==Schedule==
* Monday, '''April 13th, 2015, 08.15 - 09.45''': Lecture 1
** [[Media:ML_00.pdf | Organisation (pdf)]]
** [[Media:ML_01.pdf | Introduction (pdf)]]
** [[Media:MLnotes_01.pdf | Lecture notes (Introduction) (pdf)]]
* Monday, '''April 20th, 2015, 08.15 - 09.45''': Lecture 2
** [[Media:ML_02.pdf | Rule-based (pdf)]]
* Monday, '''April 27th, 2015, 08.15 - 09.45''': Lecture 3
** [[Media:ML_03.pdf | Decision tree (pdf)]]
** [[Media:ML_practical_01.pdf | Projects meeting (Group allocation) (pdf)]]
* Monday, '''May 04th, 2015, 08.15 - 09.45''': Lecture 4
** [[Media:ML_04.pdf | Regression (pdf)]]
** [[Media:MLnotes_04.pdf | Lecture notes (Regression) (pdf)]]
** [[Media:MLassignment_01.pdf | Assignment 01 (pdf)]]
* Monday, '''May 11th, 2015, 08.15 - 09.45''': No lecture
* Monday, '''May 18th, 2015, 08.15 - 09.45''': Lecture 5
** [[Media:ML_05.pdf | Local random search (pdf)]]
** [[Media:MLassignment_02.pdf | Assignment 02 (pdf)]]
* Monday, '''May 25th, 2015, 08.15 - 09.45''': No lecture
* Monday, '''June 01st, 2015, 08.15 - 09.45''': Lecture 6
** [[Media:ML_06.pdf | High dimensional data (pdf)]]
** [[Media:MLnotes_06.pdf | Lecture notes (High dimensional data) (pdf)]]
** [[Media:MLassignment_03.pdf | Assignment 03 (pdf)]]
* Monday, '''June 08th, 2015, 08.15 - 09.45''': Lecture 7
** [[Media:ML_07.pdf | Artificial Neural Networks (pdf)]]
** [[Media:MLnotes_07.pdf | Lecture notes (Artificial Neural Networks) (pdf)]]
* Monday, '''June 15th, 2015, 08.15 - 09.45''': Lecture 8
** [[Media:ML_08.pdf | Instance-based learning (pdf)]]
** [[Media:MLassignment_04.pdf | Assignment 04 (pdf)]]
* Monday, '''June 22nd, 2015, 08.15 - 09.45''': Lecture 9
** [[Media:ML_09.pdf | Probabilistic Graphical Models (pdf)]]
* Monday, '''June 29th, 2015, 08.15 - 09.45''': Lecture 10
** [[Media:ML_10.pdf | Topic Models (pdf)]]
* Monday, '''July 06th, 2015, 08.15 - 09.45''': Lecture 11
** [[Media:ML_11.pdf | Unsupervised Learning (pdf)]]
** [[Media:ML_11-2.pdf | Clustering and density based clustering (Thach Nguyen) (pdf)]]
* Monday, '''July 13th, 2015, 08.15 - 09.45''': Lecture 12
** [[Media:ML_12.pdf | Anomaly detection, Online learning, Recommender Systems (pdf)]]

==Requirements==
* Active participation in the exercises required.

[[Category:Courses]]

==Reading List==
* Pervasive and Ubiquitous Computing
** [[http://dl.acm.org/citation.cfm?id=159617 Marc Weiser on challenges in Ubicomp]]
** [[http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6095491 Recent challenges with new devices and interaction]]

* Activity recognition
** [[http://www.pervasive.jku.at/Teaching/_2012SS/EmbeddedSystems/Uebungen/UE52/2004_Activity%20Recognition%20from%20User-Annotated%20Acceleration%20Data_Intille.pdf Activity recognition in Pervasive Computing]]

File:MLassignment 04.pdf

2015-06-22T16:16:00Z

Ssigg:

File:MLassignment 03.pdf

2015-06-22T16:15:34Z

Ssigg:

File:MLassignment 02.pdf

2015-06-22T16:15:05Z

Ssigg:

File:MLassignment 01.pdf

2015-06-22T16:14:30Z

Ssigg:

Machine Learning and Pervasive Computing (Summer 2015)

2015-06-22T16:14:03Z

Ssigg: /* Schedule */

== Details ==
{{CourseDetails
|credits=180h, 5 ECTS
|module=M.Inf.1223: Spezielle fortgeschrittene Aspekte der Computernetzwerke; ITIS: 3.33
|lecturer=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&moduleCall=webInfo&publishConfFile=webInfoPerson&publishSubDir=personal&keep=y&purge=y&personal.pid=128205 Stephan Sigg]
|ta= --
|time=Mondays, 08.15 - 09.45.; Exercise: (bi-weekly)
|place=IfI 3.101
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=167781&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
}}

==Course Overview==
The course will give a comprehensive overview on Machine learning with applications in Pervasive Computing.

* Course topics
** Introduction to Machine learning
** Features and feature extraction
** Feature subset selection
** Performance metrics
** Rule-based learning
** Regression approaches
** High dimensional data
** Artificial Neural Network learning
** Probabilistic approaches
** Topic models
** nearest neighbour methods
** Unsupervised learning and Clustering
** Anomaly detection
** Recommender systems

==Schedule==
* Monday, '''April 13th, 2015, 08.15 - 09.45''': Lecture 1
** [[Media:ML_00.pdf | Organisation (pdf)]]
** [[Media:ML_01.pdf | Introduction (pdf)]]
** [[Media:MLnotes_01.pdf | Lecture notes (Introduction) (pdf)]]
* Monday, '''April 20th, 2015, 08.15 - 09.45''': Lecture 2
** [[Media:ML_02.pdf | Rule-based (pdf)]]
* Monday, '''April 27th, 2015, 08.15 - 09.45''': Lecture 3
** [[Media:ML_03.pdf | Decision tree (pdf)]]
** [[Media:ML_practical_01.pdf | Projects meeting (Group allocation) (pdf)]]
* Monday, '''May 04th, 2015, 08.15 - 09.45''': Lecture 4
** [[Media:ML_04.pdf | Regression (pdf)]]
** [[Media:MLnotes_04.pdf | Lecture notes (Regression) (pdf)]]
** [[Media:MLassignment_01.pdf | Assignment 01 (pdf)]]
* Monday, '''May 11th, 2015, 08.15 - 09.45''': No lecture
* Monday, '''May 18th, 2015, 08.15 - 09.45''': Lecture 5
** [[Media:ML_05.pdf | Local random search (pdf)]]
** [[Media:MLassignment_02.pdf | Assignment 02 (pdf)]]
* Monday, '''May 25th, 2015, 08.15 - 09.45''': No lecture
* Monday, '''June 01st, 2015, 08.15 - 09.45''': Lecture 6
** [[Media:ML_06.pdf | High dimensional data (pdf)]]
** [[Media:MLnotes_06.pdf | Lecture notes (High dimensional data) (pdf)]]
** [[Media:MLassignment_03.pdf | Assignment 03 (pdf)]]
* Monday, '''June 08th, 2015, 08.15 - 09.45''': Lecture 7
** [[Media:ML_07.pdf | Artificial Neural Networks (pdf)]]
** [[Media:MLnotes_07.pdf | Lecture notes (Artificial Neural Networks) (pdf)]]
* Monday, '''June 15th, 2015, 08.15 - 09.45''': Lecture 8
** [[Media:ML_08.pdf | Instance-based learning (pdf)]]
** [[Media:MLassignment_04.pdf | Assignment 04 (pdf)]]
* Monday, '''June 22nd, 2015, 08.15 - 09.45''': Lecture 9
** [[Media:ML_09.pdf | Probabilistic Graphical Models (pdf)]]
* Monday, '''June 29th, 2015, 08.15 - 09.45''': Lecture 10
* Monday, '''July 06th, 2015, 08.15 - 09.45''': Lecture 11
* Monday, '''July 13th, 2015, 08.15 - 09.45''': Lecture 12

==Requirements==
* Active participation in the exercises required.

[[Category:Courses]]

==Reading List==
* Pervasive and Ubiquitous Computing
** [[http://dl.acm.org/citation.cfm?id=159617 Marc Weiser on challenges in Ubicomp]]
** [[http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6095491 Recent challenges with new devices and interaction]]

* Activity recognition
** [[http://www.pervasive.jku.at/Teaching/_2012SS/EmbeddedSystems/Uebungen/UE52/2004_Activity%20Recognition%20from%20User-Annotated%20Acceleration%20Data_Intille.pdf Activity recognition in Pervasive Computing]]

File:ML 09.pdf

2015-06-22T10:32:10Z

Ssigg:

Machine Learning and Pervasive Computing (Summer 2015)

2015-06-22T10:31:26Z

Ssigg: /* Schedule */

== Details ==
{{CourseDetails
|credits=180h, 5 ECTS
|module=M.Inf.1223: Spezielle fortgeschrittene Aspekte der Computernetzwerke; ITIS: 3.33
|lecturer=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&moduleCall=webInfo&publishConfFile=webInfoPerson&publishSubDir=personal&keep=y&purge=y&personal.pid=128205 Stephan Sigg]
|ta= --
|time=Mondays, 08.15 - 09.45.; Exercise: (bi-weekly)
|place=IfI 3.101
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=167781&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
}}

==Course Overview==
The course will give a comprehensive overview on Machine learning with applications in Pervasive Computing.

* Course topics
** Introduction to Machine learning
** Features and feature extraction
** Feature subset selection
** Performance metrics
** Rule-based learning
** Regression approaches
** High dimensional data
** Artificial Neural Network learning
** Probabilistic approaches
** Topic models
** nearest neighbour methods
** Unsupervised learning and Clustering
** Anomaly detection
** Recommender systems

==Schedule==
* Monday, '''April 13th, 2015, 08.15 - 09.45''': Lecture 1
** [[Media:ML_00.pdf | Organisation (pdf)]]
** [[Media:ML_01.pdf | Introduction (pdf)]]
** [[Media:MLnotes_01.pdf | Lecture notes (Introduction) (pdf)]]
* Monday, '''April 20th, 2015, 08.15 - 09.45''': Lecture 2
** [[Media:ML_02.pdf | Rule-based (pdf)]]
* Monday, '''April 27th, 2015, 08.15 - 09.45''': Lecture 3
** [[Media:ML_03.pdf | Decision tree (pdf)]]
** [[Media:ML_practical_01.pdf | Projects meeting (Group allocation) (pdf)]]
* Monday, '''May 04th, 2015, 08.15 - 09.45''': Lecture 4
** [[Media:ML_04.pdf | Regression (pdf)]]
** [[Media:MLnotes_04.pdf | Lecture notes (Regression) (pdf)]]
* Monday, '''May 11th, 2015, 08.15 - 09.45''': No lecture
* Monday, '''May 18th, 2015, 08.15 - 09.45''': Lecture 5
** [[Media:ML_05.pdf | Local random search (pdf)]]
* Monday, '''May 25th, 2015, 08.15 - 09.45''': No lecture
* Monday, '''June 01st, 2015, 08.15 - 09.45''': Lecture 6
** [[Media:ML_06.pdf | High dimensional data (pdf)]]
** [[Media:MLnotes_06.pdf | Lecture notes (High dimensional data) (pdf)]]
* Monday, '''June 08th, 2015, 08.15 - 09.45''': Lecture 7
** [[Media:ML_07.pdf | Artificial Neural Networks (pdf)]]
** [[Media:MLnotes_07.pdf | Lecture notes (Artificial Neural Networks) (pdf)]]
* Monday, '''June 15th, 2015, 08.15 - 09.45''': Lecture 8
** [[Media:ML_08.pdf | Instance-based learning (pdf)]]
* Monday, '''June 22nd, 2015, 08.15 - 09.45''': Lecture 9
** [[Media:ML_09.pdf | Probabilistic Graphical Models (pdf)]]
* Monday, '''June 29th, 2015, 08.15 - 09.45''': Lecture 10
* Monday, '''July 06th, 2015, 08.15 - 09.45''': Lecture 11
* Monday, '''July 13th, 2015, 08.15 - 09.45''': Lecture 12

==Requirements==
* Active participation in the exercises required.

[[Category:Courses]]

==Reading List==
* Pervasive and Ubiquitous Computing
** [[http://dl.acm.org/citation.cfm?id=159617 Marc Weiser on challenges in Ubicomp]]
** [[http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6095491 Recent challenges with new devices and interaction]]

* Activity recognition
** [[http://www.pervasive.jku.at/Teaching/_2012SS/EmbeddedSystems/Uebungen/UE52/2004_Activity%20Recognition%20from%20User-Annotated%20Acceleration%20Data_Intille.pdf Activity recognition in Pervasive Computing]]

Machine Learning and Pervasive Computing (Summer 2015)

2015-06-17T08:09:58Z

Ssigg: /* Schedule */

== Details ==
{{CourseDetails
|credits=180h, 5 ECTS
|module=M.Inf.1223: Spezielle fortgeschrittene Aspekte der Computernetzwerke; ITIS: 3.33
|lecturer=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&moduleCall=webInfo&publishConfFile=webInfoPerson&publishSubDir=personal&keep=y&purge=y&personal.pid=128205 Stephan Sigg]
|ta= --
|time=Mondays, 08.15 - 09.45.; Exercise: (bi-weekly)
|place=IfI 3.101
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=167781&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
}}

==Course Overview==
The course will give a comprehensive overview on Machine learning with applications in Pervasive Computing.

* Course topics
** Introduction to Machine learning
** Features and feature extraction
** Feature subset selection
** Performance metrics
** Rule-based learning
** Regression approaches
** High dimensional data
** Artificial Neural Network learning
** Probabilistic approaches
** Topic models
** nearest neighbour methods
** Unsupervised learning and Clustering
** Anomaly detection
** Recommender systems

==Schedule==
* Monday, '''April 13th, 2015, 08.15 - 09.45''': Lecture 1
** [[Media:ML_00.pdf | Organisation (pdf)]]
** [[Media:ML_01.pdf | Introduction (pdf)]]
** [[Media:MLnotes_01.pdf | Lecture notes (Introduction) (pdf)]]
* Monday, '''April 20th, 2015, 08.15 - 09.45''': Lecture 2
** [[Media:ML_02.pdf | Rule-based (pdf)]]
* Monday, '''April 27th, 2015, 08.15 - 09.45''': Lecture 3
** [[Media:ML_03.pdf | Decision tree (pdf)]]
** [[Media:ML_practical_01.pdf | Projects meeting (Group allocation) (pdf)]]
* Monday, '''May 04th, 2015, 08.15 - 09.45''': Lecture 4
** [[Media:ML_04.pdf | Regression (pdf)]]
** [[Media:MLnotes_04.pdf | Lecture notes (Regression) (pdf)]]
* Monday, '''May 11th, 2015, 08.15 - 09.45''': No lecture
* Monday, '''May 18th, 2015, 08.15 - 09.45''': Lecture 5
** [[Media:ML_05.pdf | Local random search (pdf)]]
* Monday, '''May 25th, 2015, 08.15 - 09.45''': No lecture
* Monday, '''June 01st, 2015, 08.15 - 09.45''': Lecture 6
** [[Media:ML_06.pdf | High dimensional data (pdf)]]
** [[Media:MLnotes_06.pdf | Lecture notes (High dimensional data) (pdf)]]
* Monday, '''June 08th, 2015, 08.15 - 09.45''': Lecture 7
** [[Media:ML_07.pdf | Artificial Neural Networks (pdf)]]
** [[Media:MLnotes_07.pdf | Lecture notes (Artificial Neural Networks) (pdf)]]
* Monday, '''June 15th, 2015, 08.15 - 09.45''': Lecture 8
** [[Media:ML_08.pdf | Instance-based learning (pdf)]]
* Monday, '''June 22nd, 2015, 08.15 - 09.45''': Lecture 9
* Monday, '''June 29th, 2015, 08.15 - 09.45''': Lecture 10
* Monday, '''July 06th, 2015, 08.15 - 09.45''': Lecture 11
* Monday, '''July 13th, 2015, 08.15 - 09.45''': Lecture 12

==Requirements==
* Active participation in the exercises required.

[[Category:Courses]]

==Reading List==
* Pervasive and Ubiquitous Computing
** [[http://dl.acm.org/citation.cfm?id=159617 Marc Weiser on challenges in Ubicomp]]
** [[http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6095491 Recent challenges with new devices and interaction]]

* Activity recognition
** [[http://www.pervasive.jku.at/Teaching/_2012SS/EmbeddedSystems/Uebungen/UE52/2004_Activity%20Recognition%20from%20User-Annotated%20Acceleration%20Data_Intille.pdf Activity recognition in Pervasive Computing]]

File:ML 08.pdf

2015-06-17T08:09:19Z

Ssigg:

Machine Learning and Pervasive Computing (Summer 2015)

2015-06-17T08:08:35Z

Ssigg: /* Schedule */

== Details ==
{{CourseDetails
|credits=180h, 5 ECTS
|module=M.Inf.1223: Spezielle fortgeschrittene Aspekte der Computernetzwerke; ITIS: 3.33
|lecturer=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&moduleCall=webInfo&publishConfFile=webInfoPerson&publishSubDir=personal&keep=y&purge=y&personal.pid=128205 Stephan Sigg]
|ta= --
|time=Mondays, 08.15 - 09.45.; Exercise: (bi-weekly)
|place=IfI 3.101
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=167781&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
}}

==Course Overview==
The course will give a comprehensive overview on Machine learning with applications in Pervasive Computing.

* Course topics
** Introduction to Machine learning
** Features and feature extraction
** Feature subset selection
** Performance metrics
** Rule-based learning
** Regression approaches
** High dimensional data
** Artificial Neural Network learning
** Probabilistic approaches
** Topic models
** nearest neighbour methods
** Unsupervised learning and Clustering
** Anomaly detection
** Recommender systems

==Schedule==
* Monday, '''April 13th, 2015, 08.15 - 09.45''': Lecture 1
** [[Media:ML_00.pdf | Organisation (pdf)]]
** [[Media:ML_01.pdf | Introduction (pdf)]]
** [[Media:MLnotes_01.pdf | Lecture notes (Introduction) (pdf)]]
* Monday, '''April 20th, 2015, 08.15 - 09.45''': Lecture 2
** [[Media:ML_02.pdf | Rule-based (pdf)]]
* Monday, '''April 27th, 2015, 08.15 - 09.45''': Lecture 3
** [[Media:ML_03.pdf | Decision tree (pdf)]]
** [[Media:ML_practical_01.pdf | Projects meeting (Group allocation) (pdf)]]
* Monday, '''May 04th, 2015, 08.15 - 09.45''': Lecture 4
** [[Media:ML_04.pdf | Regression (pdf)]]
** [[Media:MLnotes_04.pdf | Lecture notes (Regression) (pdf)]]
* Monday, '''May 11th, 2015, 08.15 - 09.45''': No lecture
* Monday, '''May 18th, 2015, 08.15 - 09.45''': Lecture 5
** [[Media:ML_05.pdf | Local random search (pdf)]]
* Monday, '''May 25th, 2015, 08.15 - 09.45''': No lecture
* Monday, '''June 01st, 2015, 08.15 - 09.45''': Lecture 6
** [[Media:ML_06.pdf | High dimensional data (pdf)]]
** [[Media:MLnotes_06.pdf | Lecture notes (High dimensional data) (pdf)]]
* Monday, '''June 08th, 2015, 08.15 - 09.45''': Lecture 7
** [[Media:ML_07.pdf | Artificial Neural Networks (pdf)]]
** [[Media:MLnotes_07.pdf | Lecture notes (Artificial Neural Networks) (pdf)]]
* Monday, '''June 15th, 2015, 08.15 - 09.45''': Lecture 8
** [[Media:ML_08.pdf | Instance-based learning (pdf)]]
* Monday, '''June 22nd, 2015, 08.15 - 09.45''': Lecture 7
* Monday, '''June 29th, 2015, 08.15 - 09.45''': Lecture 10
* Monday, '''July 06th, 2015, 08.15 - 09.45''': Lecture 11
* Monday, '''July 13th, 2015, 08.15 - 09.45''': Lecture 12

==Requirements==
* Active participation in the exercises required.

[[Category:Courses]]

==Reading List==
* Pervasive and Ubiquitous Computing
** [[http://dl.acm.org/citation.cfm?id=159617 Marc Weiser on challenges in Ubicomp]]
** [[http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6095491 Recent challenges with new devices and interaction]]

* Activity recognition
** [[http://www.pervasive.jku.at/Teaching/_2012SS/EmbeddedSystems/Uebungen/UE52/2004_Activity%20Recognition%20from%20User-Annotated%20Acceleration%20Data_Intille.pdf Activity recognition in Pervasive Computing]]

File:ML 07.pdf

2015-06-08T08:34:56Z

Ssigg: uploaded a new version of "File:ML 07.pdf"

File:ML 05.pdf

2015-06-08T08:33:10Z

Ssigg: uploaded a new version of "File:ML 05.pdf"

File:MLnotes 07.pdf

2015-06-08T08:30:37Z

Ssigg:

File:ML 07.pdf

2015-06-08T08:30:12Z

Ssigg:

File:MLnotes 06.pdf

2015-06-08T08:29:43Z

Ssigg:

File:ML 06.pdf

2015-06-08T08:29:08Z

Ssigg:

File:ML 05.pdf

2015-06-08T08:28:24Z

Ssigg:

Machine Learning and Pervasive Computing (Summer 2015)

2015-06-08T08:27:47Z

Ssigg: /* Schedule */

== Details ==
{{CourseDetails
|credits=180h, 5 ECTS
|module=M.Inf.1223: Spezielle fortgeschrittene Aspekte der Computernetzwerke; ITIS: 3.33
|lecturer=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&moduleCall=webInfo&publishConfFile=webInfoPerson&publishSubDir=personal&keep=y&purge=y&personal.pid=128205 Stephan Sigg]
|ta= --
|time=Mondays, 08.15 - 09.45.; Exercise: (bi-weekly)
|place=IfI 3.101
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=167781&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
}}

==Course Overview==
The course will give a comprehensive overview on Machine learning with applications in Pervasive Computing.

* Course topics
** Introduction to Machine learning
** Features and feature extraction
** Feature subset selection
** Performance metrics
** Rule-based learning
** Regression approaches
** High dimensional data
** Artificial Neural Network learning
** Probabilistic approaches
** Topic models
** nearest neighbour methods
** Unsupervised learning and Clustering
** Anomaly detection
** Recommender systems

==Schedule==
* Monday, '''April 13th, 2015, 08.15 - 09.45''': Lecture 1
** [[Media:ML_00.pdf | Organisation (pdf)]]
** [[Media:ML_01.pdf | Introduction (pdf)]]
** [[Media:MLnotes_01.pdf | Lecture notes (Introduction) (pdf)]]
* Monday, '''April 20th, 2015, 08.15 - 09.45''': Lecture 2
** [[Media:ML_02.pdf | Rule-based (pdf)]]
* Monday, '''April 27th, 2015, 08.15 - 09.45''': Lecture 3
** [[Media:ML_03.pdf | Decision tree (pdf)]]
** [[Media:ML_practical_01.pdf | Projects meeting (Group allocation) (pdf)]]
* Monday, '''May 04th, 2015, 08.15 - 09.45''': Lecture 4
** [[Media:ML_04.pdf | Regression (pdf)]]
** [[Media:MLnotes_04.pdf | Lecture notes (Regression) (pdf)]]
* Monday, '''May 11th, 2015, 08.15 - 09.45''': No lecture
* Monday, '''May 18th, 2015, 08.15 - 09.45''': Lecture 5
** [[Media:ML_05.pdf | Local random search (pdf)]]
* Monday, '''May 25th, 2015, 08.15 - 09.45''': No lecture
* Monday, '''June 01st, 2015, 08.15 - 09.45''': Lecture 6
** [[Media:ML_06.pdf | High dimensional data (pdf)]]
** [[Media:MLnotes_06.pdf | Lecture notes (High dimensional data) (pdf)]]
* Monday, '''June 08th, 2015, 08.15 - 09.45''': Lecture 7
** [[Media:ML_07.pdf | Artificial Neural Networks (pdf)]]
** [[Media:MLnotes_07.pdf | Lecture notes (Artificial Neural Networks) (pdf)]]
* Monday, '''June 15th, 2015, 08.15 - 09.45''': Lecture 8
* Monday, '''June 22nd, 2015, 08.15 - 09.45''': Lecture 7
* Monday, '''June 29th, 2015, 08.15 - 09.45''': Lecture 10
* Monday, '''July 06th, 2015, 08.15 - 09.45''': Lecture 11
* Monday, '''July 13th, 2015, 08.15 - 09.45''': Lecture 12

==Requirements==
* Active participation in the exercises required.

[[Category:Courses]]

==Reading List==
* Pervasive and Ubiquitous Computing
** [[http://dl.acm.org/citation.cfm?id=159617 Marc Weiser on challenges in Ubicomp]]
** [[http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6095491 Recent challenges with new devices and interaction]]

* Activity recognition
** [[http://www.pervasive.jku.at/Teaching/_2012SS/EmbeddedSystems/Uebungen/UE52/2004_Activity%20Recognition%20from%20User-Annotated%20Acceleration%20Data_Intille.pdf Activity recognition in Pervasive Computing]]

Seminar on Internet Technologies (Summer 2015)

2015-05-13T04:57:19Z

Ssigg: /* Topics */

{{Announcement|IMPORTANT: Please send a mail to Mayutan with the topic supervisor on CC and the topic that you would like to take}}

== Details ==

{{CourseDetails
|credits=5 ECTS (BSc/MSc AI); 5 (ITIS)
|module= M.Inf.1124 ''-or-'' B.Inf.1207/1208; ITIS Module 3.16: Selected Topics in Internet Technologies
|lecturer=[https://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai?lang=de Dr. Mayutan Arumaithurai]
|ta= None
|time=April 16th (Thursday), 16:00ct: Introduction Meeting
|place=IFI Building, Room 3.101
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=148938&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
}}

==Course description==

This course covers selected topics on the up-to-date Internet technologies and research. Each student takes a topic, does a presentation and writes a report on it. Besides the introduction meeting on April 16th, there are no regular meetings, lectures or classes for this course. The students have to keep in constant touch with their topic advisor in order to prepare for the final presentation. The purpose of this course is to familiarize the students with new technologies, enable independent study of a specific topic, and train presentation and writing skills.

The informational meeting at the beginning of the course will cover some guidelines on scientific presenting and writing.

{{Announcement|NOTE: Presentation slots will be allocated to those students whose topic advisor informs me that the student has done sufficient ground work and have submitted a first draft of the presentation two weeks before the final presentations}}

==Passing requirements==
* Actively participate in the project communication with your topic advisor
** This accounts for 30% of your grade.
* Present the selected topic (15 min. presentation + 5 min. Q&A).
** In order to receive a presentation slot, the topic advisor needs to agree atleast two weeks before the presentation that the work done is sufficient, the student has submitted a first draft of the slides and has agreed on a Table of Content for the final report.
** This accounts for 40% of your grade.
** The grade is based on your presentation as well as your interaction level during the presentation sessions (Hint: Be attentive and ask questions)
* Write a report on the selected topic (12-15 pages) (LaTeX Template:[ftp://ftp.springer.de/pub/tex/latex/llncs/latex2e/llncs2e.zip]).
** This accounts for 30% of your grade.
* Please check the [[#Schedule]] and adhere to it.

==Schedule==
* '''April 16th, 16:00ct''': Informational meeting (+ intro to presenting and writing) [https://dl.dropboxusercontent.com/u/1652374/SIT/SIT-intro.pdf Introductory Slides (pdf)][https://dl.dropboxusercontent.com/u/1652374/SIT/SIT-intro.ppt Introductory Slides (ppt)]
* '''July 8th, 23:59 CET''': Deadline for getting confirmation from topic advisor that you are eligible for the final presentations.
* '''July 15th, 23:59 CET''': Deadline for registration in FlexNow/ITIS System
* '''July 23rd, 30th (tentative)''' : Presentations
* '''September 30, 2015, 23:59''': Deadline for submission of report

==Presentation Schedule==

== Topics ==

{{Announcement|IMPORTANT: Please send a mail to Mayutan with the topic supervisor on CC and the topic that you would like to take}}

{| align="center" class="wikitable sortable" {{Prettytable}}
|-
|{{Hl2}} |'''Topic'''
|{{Hl2}} |'''Topic Advisor'''
|{{Hl2}} |'''Initial Readings'''
|-
|style="width: 70%;"|
|-
| '''What is the current status and future of SDN research? What are the main research problems of SDN? (assigned to Mahmoud Alzaitoun)'''
There is a lot of hype about SDN with industries, operators and Academia showing interest. The aim of this work is to study what research problems exist and also identify promising solutions.
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
| [http://en.wikipedia.org/wiki/Software-defined_networking][http://arxiv.org/pdf/1406.0440v3.pdf]
|-
| ''' A survey of SDN standardization '''
There is a lot of hype about SDN with industries, operators and Academia showing interest. The aim of this work is to study the standardization efforts ongoing in SDN.
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
| [http://en.wikipedia.org/wiki/Software-defined_networking]
|-
| ''' Can we use machine learning methods in SDN? '''
The SDN technology is revolutionizing both the network research and industry. The idea that using machine learning methods in SDN has been under the exploitation by some companies and researchers. In this project, a survey of the work related to this idea is required.
| [http://www.net.informatik.uni-goettingen.de/people/narisu_tao Narisu Tao]
| [http://www.hpl.hp.com/people/jklee/com094-qazi2PSTS.pdf] , [https://www.sec.in.tum.de/assets/Uploads/MAVincentSommer.pdf], [http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6998241&url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel7%2F6979384%2F6998226%2F06998241.pdf%3Farnumber%3D6998241]
|-
| ''' What is Scala? '''
The functional programming paradigm is crucial for the coming Big Data challenge. Scala is a programming language which fits very well this paradigm. A brief introduction on the history, main ideas and industry adaptiveness of Scala are required.
| [http://www.net.informatik.uni-goettingen.de/people/narisu_tao Narisu Tao]
| [http://en.wikipedia.org/wiki/Scala_(programming_language)]
|-

| '''A survey of publish/subscribe in ICN '''
The aim of this work is to study and compare the existing publish/subscribe communication support in different ICN solutions.
| [http://www.net.informatik.uni-goettingen.de/people/jiachen_chen Jiachen Chen]
| [http://en.wikipedia.org/wiki/Information-centric_networking], [http://en.wikipedia.org/wiki/Publish%E2%80%93subscribe_pattern]
|-
| '''Information-centric networks'''
The study here will mainly focus on different Information-Centric Network (ICN) proposals and compare the difference among them.
| [http://www.net.informatik.uni-goettingen.de/people/jiachen_chen Jiachen Chen]
| [http://en.wikipedia.org/wiki/Information-centric_networking]
|-
| '''Routing in NDN'''
NDN is one of the most recent information-centric network designs. The focus of the network has shifted from ''location'' (IP addresses) to the ''content'' (names of the contents).
In IP, address spaces are divided into domains by some network management entities (ISPs) and the routing take advantage of this division.
But in NDN, content names no longer follow this rule. This complicates the routing in NDN.

This study will focus on the different routing mechanisms and compare the pros and cons of each mechanism.

Students who have knowledge about routing preferred.
| [http://www.net.informatik.uni-goettingen.de/people/jie_li Jie Li]
| [http://en.wikipedia.org/wiki/Named_data_networking], [http://dl.acm.org/citation.cfm?id=2491231], [http://dl.acm.org/citation.cfm?id=2660141], [http://dl.acm.org/citation.cfm?id=2342498], [http://dl.acm.org/citation.cfm?id=2491232]
|-
| '''Caching in ICN'''
As one of the most significant properties of ICN, in-network caching is excepted to improve network performance.
In this topic, the student need to give a survey on the status quo of caching in ICN.
| [http://www.net.informatik.uni-goettingen.de/people/jie_li Jie Li]
| [http://dl.acm.org/citation.cfm?id=2342501], [http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6957152&tag=1],[http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6883812], [http://dl.acm.org/citation.cfm?id=2643105]
|-
| '''What is deep learning and its applications?''' ''( Assigned to Alexander Warnecke)''
The study is to have a basic knowledge of deep learning and learn to use some tools to implement some deep learning algorithms.
| [http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]
| TBA
|-
| '''Tensor methods for machine learning''' ''( Assigned to Burcu Coskun)''
Tensor methods for machine learning are fast, accurate, and scalable, but we'll need well-developed libraries. In this work, we will try to understand tensor based methods.
| [http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]
| [http://www.cs.cornell.edu/CV/TenWork/FinalReport.pdf][http://arxiv.org/abs/1309.0787][http://opt-ml.org/papers/opt2014_submission_15.pdf][http://arxiv.org/abs/1406.4566]
|-
| '''Applying Machine Learning to Computer Networks''' ''( Assigned to Omar Shaya)''
Machine Learning is one of the big topics in computer science today. However, it has rarely been applied to computer networking.
In this topic, we will investigate one of the few applications thought of so far to answer one question:
Can and should we apply machine learning to detect attacks in networks?
| [http://user.informatik.uni-goettingen.de/~dkoll David Koll]
| [http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6524462]
|-
| '''Controllers in Software-defined Networks - A Survey''' ''(Assigned to Pouya Saeedfar)''
SDN introduces the concept of a logically centralized controller in charge of operating the network, while routers and switches are reduced to simple forwarding elements.
In this topic, the student will provide a survey over the state-of-the-art in SDN controllers.
| [http://user.informatik.uni-goettingen.de/~dkoll David Koll]
| [https://www.sdxcentral.com/resources/sdn/sdn-controllers/][http://www.cs.yale.edu/homes/jf/nox.pdf]
|-
| '''What Will 5G Be? - A Survey'''
This study is to provide a comprehensive survey on the key enabling communication technologies for 5G networks.
| [http://www.net.informatik.uni-goettingen.de/people/xu_chen Xu Chen]
| [http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6824752]
|-
| '''What Will Smart Grid Be? – A Survey''' ''(assigned to Kirill Bulert)''
The Smart Grid, regarded as the next generation power grid, uses two-way flows of electricity and information to create a widely distributed automated energy delivery network. This study is to provide a comprehensive survey on the key enabling technologies and services for Smart Grid.
| [http://www.net.informatik.uni-goettingen.de/people/xu_chen Xu Chen]
| [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6099519]
|-
|'''On the recognition of emotion from Social media and sensor readings''' ''(assigned to Amine Lasfar)''

Recently, there are multiple efforts to extend the capabilities of data analysis tools e.g. for social media or wearable systems towards the recognition of sentiment - human emotions and internal states.
Examples are studies on emotion contagion on facebook, or the introduction of wearable technology capable to capture sentiment like prominently glasses or watches.
The student shall give a structured overview on recent advances in this field.
(Note: An independent literature survey is expected. It is NOT sufficient to just read and summarise the literature provided.)
| [http://www.net.informatik.uni-goettingen.de/people/stephan_sigg Stephan Sigg]
| [http://www.pnas.org/content/111/24/8788.full] [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6468032] [https://www.jins-jp.com/jinsmeme/en/] [http://www.apple.com/watch/]
|-
|'''Utilising the wireless channel as a mathematical calculator - A comprehensive technical dicussion'''

This topic focuses recent research efforts towards the calculation of mathematical functions on the wireless channel.
The student shall give a comprehensive and technical introduction of different approaches and recent advances in this field.
(Note: An independent literature survey is expected. It is NOT sufficient to just read and summarise the literature provided.)
| [http://www.net.informatik.uni-goettingen.de/people/stephan_sigg Stephan Sigg]
| [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6751603] [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6402311]
|-

|''' Virtual Machine and Data Migration in Cloud computing'''

This topic requires to study and compare the state-of-the-art techniques employed in Virtual machine and data migration in Cloud Computing systems. Then try to propose new mechanisms and optimisations for carrying out the migration efficiently.

| [http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni]
| [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6558130] [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6969026]
|-
|'''Survey of Network and Application Load balancing techniques ''' ''(Assigned to Benjamin Baum)''

The work here is to study and compare the state-of-the-art techniques employed in Network and Server Load balancing techniques. Identify different network layer (L2 to L7) load balancing techniques and mechanisms followed in the inter and intra data centres and Clouds.

| [http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni]
| [http://dl.acm.org/ft_gateway.cfm?id=2486026&ftid=1388630&dwn=1&CFID=652100403&CFTOKEN=19617420] [http://research.microsoft.com/pubs/220640/sigcomm14-duet-final.pdf] [http://yuba.stanford.edu/~nikhilh/pubs/handigol-gec9.pdf]
|-
|'''Compressive sensing -- An introduction and overview'''
Compressive sensing is a method to reconstruct a sparse signal, by solving underdetermined linear equations.
In the scope of this topic, a comprehensive introduction and overview is given on compressive sensing, applications and recent developments.
(Note: An independent literature survey is expected. It is NOT sufficient to just read and summarise the literature provided.)
| [http://www.net.informatik.uni-goettingen.de/people/stephan_sigg Stephan Sigg]
|
|-
|
'''Random Matrix Theory for signal processing '''

Random matrix theory has numerous applications in physics, statistics and engineering.
Although initially motivated by practical experimental problems, random matrices are now used in very diverse fields including physics, mathematics, but also neural networks, information theory and signal processing.
The student will recapitulate the basic concepts of random matrix theory and summarise recent advances in this field with relation to signal processing, in particular in communications.

| [http://www.stephansigg.de Stephan Sigg]
|For general introduction:
*[http://books.google.de/books/about/Random_Matrix_Methods_for_Wireless_Commu.html?id=_j7pT9HjKAUC&redir_esc=y]

|-

|}

==Workﬂow==

=== 1. Select a topic ===
A student picks a topic to work on. You can pick up a topic and start working '''at any time'''. However, make sure to notify Mayutan and the advisor of the topic before starting to work.

=== 2. Get your work advised ===
For each topic, a topic advisor is available. He is your contact person for questions and problems regarding the topic. He supports you as much as you want, so please do not hesitate to approach him for any advice or with any questions you might have. It is recommended (and not mandatory) that you schedule a face-to-face meeting with him right after you select your topic.

=== 3. Approach your topic ===

* By choosing a topic, you choose the direction of elaboration.
* You may work in different styles, for example:
** Survey: Basic introduction, overview of the ﬁeld; general problems, methods, approaches.
** Specific problem: Detailed introduction, details about the problem and the solution.
* You should include your own thoughts on your topic.

=== 4. Prepare your presentation ===

* Present your topic to the audience (in English).
* 15 minutes of presentation followed by 5-10 minutes discussion.

You present your topic to an audience of students and other interested people (usually the [http://www.net.informatik.uni-goettingen.de/ NET] group members). Your presentation should give the audience a general idea of the topic and highlight interesting problems and solutions. You have 15 minutes to present your topic followed by 10 minutes of discussion. You must keep it within the time limit. Please send your slides to your topic advisor for any possible feedback before your presentation.

Hints for preparing the presentation:
* 15 minutes are too short to present a topic fully.
* It is alright to focus just on one certain important aspect.
* Limit the introduction of basics (5 min.).
* Make sure to ﬁnish in time.

Suggestions for preparing the slides:
* No more than 15 pages/slides.
* Get your audiences to quickly understand the general idea.
* Figures, tables and animations are better than sentences.
* Summary of the topic: thinking in your own words.

=== 5. Write your report ===

* Present the problem with its background.
* Detail the approaches, techniques, methods to handle the problem.
* Evaluate and assess those approaches (e.g., pros and cons).
* Give a short outlook on potential future developments.

The report must be written in English according to common guidelines for scientific papers, between 12 and 15 pages of content (excluding the table of content, bibliography, etc.).

=== 6. Course schedule===
There are no regular meetings, lectures or classes for this course. The work is expected to be done by yourself with the assistance of your topic advisor. Please follow the [[#Schedule]] to take appropriate actions.

[[Category:Courses]]

File:ACN 03.pdf

2015-05-13T04:55:16Z

Ssigg:

Advanced Computer Networks (Summer 2015)

2015-05-13T04:52:47Z

Ssigg: /* Schedule */

== Details ==

{{CourseDetails
|credits=120h, 6 ECTS (old PO), 6 ECTS (new PO), 5 (ITIS)
|module=M.Inf.1222.Mp, '''M.Inf.1223.Mp''', M.Inf.221.3C1 OR 3.17: Selected Topics in Advanced Networking (ITIS)
|lecturer=[http://www.net.informatik.uni-goettingen.de/people/xiaoming_fu Prof. Xiaoming Fu], [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Dr. Mayutan Arumaithurai], [http://www.net.informatik.uni-goettingen.de/people/stephan_sigg Dr. Stephan Sigg], [http://user.informatik.uni-goettingen.de/~dkoll Dr. David Koll]
|ta=[http://www.net.informatik.uni-goettingen.de/people/jiachen_chen Jiachen Chen, MSC]
|time=Thursdays, 10-12am
|place=IFI 3.101
|univz=tba
}}

==Course description==
This lecture will introduce advanced concepts of computer networking to interested students. Topics include, but are not limited to:
*P2P Networks
*Cloud Computing
*Datacenter Networking
*Future Internet Technologies

For each topic, basic structures, features, applied techniques and security aspects will be taught.

==Schedule==
{| {{Prettytable|width=}}
|-
|{{Hl2}} |'''Date'''
|{{Hl2}} |'''Topic'''
|{{Hl2}} |'''Slides'''
|-
| align="right" | 16.04.2015
| Introduction
| [[Media:ACN_01.pdf‎ | pdf ]]
|-
| align="right" | 23.04.2015
| NO LECTURE (Girls Day)
|
|-
| align="right" | 30.04.2015
| Advanced Topics in Wireless Networks I
| [[Media:ACN_02.pdf‎ | pdf ]]
|-
| align="right" | 07.05.2015
| Advanced Topics in Wireless Networks II
| [[Media:ACN_03.pdf‎ | pdf ]]
|-
| align="right" | 14.05.2015
| NO LECTURE (Public Holiday)
|
|-
| align="right" | 21.05.2015
| Advanced Topics in P2P
|
|-
| align="right" | 28.05.2015
| Problems with the current way of Networking I
|
|-
| align="right" | 04.06.2015
| Problems with the current way of Networking II
|
|-
| align="right" | 11.06.2015
| New Networking Techniques I
|
|-
| align="right" | 18.06.2015
| New Networking Techniques II
|
|-
| align="right" | 25.06.2015
| New Networking Techniques III
|
|-
| align="right" | 02.07.2015
| New Networking Techniques IV
|
|-
| align="right" | 09.07.2015
| New Networking Techniques V
|
|-
| align="right" | 16.07.2015
| Examination
|
|-
|}

==Prerequisites==
* Computer Science I, II; Computer Networks

[[Category:Courses]]

File:MLnotes 04.pdf

2015-05-04T08:35:11Z

Ssigg:

File:ML 04.pdf

2015-05-04T08:34:43Z

Ssigg:

File:ML practical 01.pdf

2015-05-04T08:34:14Z

Ssigg:

File:ML 03.pdf

2015-05-04T08:33:34Z

Ssigg:

File:ML 02.pdf

2015-05-04T08:33:04Z

Ssigg:

Machine Learning and Pervasive Computing (Summer 2015)

2015-05-04T08:32:35Z

Ssigg: /* Schedule */

== Details ==
{{CourseDetails
|credits=180h, 5 ECTS
|module=M.Inf.1223: Spezielle fortgeschrittene Aspekte der Computernetzwerke; ITIS: 3.33
|lecturer=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&moduleCall=webInfo&publishConfFile=webInfoPerson&publishSubDir=personal&keep=y&purge=y&personal.pid=128205 Stephan Sigg]
|ta= --
|time=Mondays, 08.15 - 09.45.; Exercise: (bi-weekly)
|place=IfI 3.101
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=167781&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
}}

==Course Overview==
The course will give a comprehensive overview on Machine learning with applications in Pervasive Computing.

* Course topics
** Introduction to Machine learning
** Features and feature extraction
** Feature subset selection
** Performance metrics
** Rule-based learning
** Regression approaches
** High dimensional data
** Artificial Neural Network learning
** Probabilistic approaches
** Topic models
** nearest neighbour methods
** Unsupervised learning and Clustering
** Anomaly detection
** Recommender systems

==Schedule==
* Monday, '''April 13th, 2015, 08.15 - 09.45''': Lecture 1
** [[Media:ML_00.pdf | Organisation (pdf)]]
** [[Media:ML_01.pdf | Introduction (pdf)]]
** [[Media:MLnotes_01.pdf | Lecture notes (Introduction) (pdf)]]
* Monday, '''April 20th, 2015, 08.15 - 09.45''': Lecture 2
** [[Media:ML_02.pdf | Rule-based (pdf)]]
* Monday, '''April 27th, 2015, 08.15 - 09.45''': Lecture 3
** [[Media:ML_03.pdf | Decision tree (pdf)]]
** [[Media:ML_practical_01.pdf | Projects meeting (Group allocation) (pdf)]]
* Monday, '''May 04th, 2015, 08.15 - 09.45''': Lecture 4
** [[Media:ML_04.pdf | Regression (pdf)]]
** [[Media:MLnotes_04.pdf | Lecture notes (Regression) (pdf)]]
* Monday, '''May 11th, 2015, 08.15 - 09.45''': No lecture
* Monday, '''May 18th, 2015, 08.15 - 09.45''': Lecture 5
* Monday, '''May 25th, 2015, 08.15 - 09.45''': No lecture
* Monday, '''June 01st, 2015, 08.15 - 09.45''': Lecture 6
* Monday, '''June 08th, 2015, 08.15 - 09.45''': Lecture 7
* Monday, '''June 15th, 2015, 08.15 - 09.45''': Lecture 8
* Monday, '''June 22nd, 2015, 08.15 - 09.45''': Lecture 7
* Monday, '''June 29th, 2015, 08.15 - 09.45''': Lecture 10
* Monday, '''July 06th, 2015, 08.15 - 09.45''': Lecture 11
* Monday, '''July 13th, 2015, 08.15 - 09.45''': Lecture 12

==Requirements==
* Active participation in the exercises required.

[[Category:Courses]]

==Reading List==
* Pervasive and Ubiquitous Computing
** [[http://dl.acm.org/citation.cfm?id=159617 Marc Weiser on challenges in Ubicomp]]
** [[http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6095491 Recent challenges with new devices and interaction]]

* Activity recognition
** [[http://www.pervasive.jku.at/Teaching/_2012SS/EmbeddedSystems/Uebungen/UE52/2004_Activity%20Recognition%20from%20User-Annotated%20Acceleration%20Data_Intille.pdf Activity recognition in Pervasive Computing]]

Advanced Computer Networks (Summer 2015)

2015-04-30T11:09:18Z

Ssigg: /* Schedule */

== Details ==

{{CourseDetails
|credits=120h, 6 ECTS (old PO), 6 ECTS (new PO), 5 (ITIS)
|module=M.Inf.1222.Mp, '''M.Inf.1223.Mp''', M.Inf.221.3C1 OR 3.17: Selected Topics in Advanced Networking (ITIS)
|lecturer=[http://www.net.informatik.uni-goettingen.de/people/xiaoming_fu Prof. Xiaoming Fu], [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Dr. Mayutan Arumaithurai], [http://www.net.informatik.uni-goettingen.de/people/stephan_sigg Dr. Stephan Sigg], [http://user.informatik.uni-goettingen.de/~dkoll Dr. David Koll]
|ta=[http://www.net.informatik.uni-goettingen.de/people/jiachen_chen Jiachen Chen, MSC]
|time=Thursdays, 10-12am
|place=IFI 3.101
|univz=tba
}}

==Course description==
This lecture will introduce advanced concepts of computer networking to interested students. Topics include, but are not limited to:
*P2P Networks
*Cloud Computing
*Datacenter Networking
*Future Internet Technologies

For each topic, basic structures, features, applied techniques and security aspects will be taught.

==Schedule==
{| {{Prettytable|width=}}
|-
|{{Hl2}} |'''Date'''
|{{Hl2}} |'''Topic'''
|{{Hl2}} |'''Slides'''
|-
| align="right" | 16.04.2015
| Introduction
| [[Media:ACN_01.pdf‎ | pdf ]]
|-
| align="right" | 23.04.2015
| NO LECTURE (Girls Day)
|
|-
| align="right" | 30.04.2015
| Advanced Topics in Wireless Networks I
| [[Media:ACN_02.pdf‎ | pdf ]]
|-
| align="right" | 07.05.2015
| Advanced Topics in Wireless Networks II
|
|-
| align="right" | 14.05.2015
| NO LECTURE (Public Holiday)
|
|-
| align="right" | 21.05.2015
| Advanced Topics in P2P
|
|-
| align="right" | 28.05.2015
| Problems with the current way of Networking I
|
|-
| align="right" | 04.06.2015
| Problems with the current way of Networking II
|
|-
| align="right" | 11.06.2015
| New Networking Techniques I
|
|-
| align="right" | 18.06.2015
| New Networking Techniques II
|
|-
| align="right" | 25.06.2015
| New Networking Techniques III
|
|-
| align="right" | 02.07.2015
| New Networking Techniques IV
|
|-
| align="right" | 09.07.2015
| New Networking Techniques V
|
|-
| align="right" | 16.07.2015
| Examination
|
|-
|}

==Prerequisites==
* Computer Science I, II; Computer Networks

[[Category:Courses]]

File:ACN 02.pdf

2015-04-30T11:07:51Z

Ssigg:

Advanced Computer Networks (Summer 2015)

2015-04-30T11:07:09Z

Ssigg: /* Schedule */

== Details ==

{{CourseDetails
|credits=120h, 6 ECTS (old PO), 6 ECTS (new PO), 5 (ITIS)
|module=M.Inf.1222.Mp, '''M.Inf.1223.Mp''', M.Inf.221.3C1 OR 3.17: Selected Topics in Advanced Networking (ITIS)
|lecturer=[http://www.net.informatik.uni-goettingen.de/people/xiaoming_fu Prof. Xiaoming Fu], [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Dr. Mayutan Arumaithurai], [http://www.net.informatik.uni-goettingen.de/people/stephan_sigg Dr. Stephan Sigg], [http://user.informatik.uni-goettingen.de/~dkoll Dr. David Koll]
|ta=[http://www.net.informatik.uni-goettingen.de/people/jiachen_chen Jiachen Chen, MSC]
|time=Thursdays, 10-12am
|place=IFI 3.101
|univz=tba
}}

==Course description==
This lecture will introduce advanced concepts of computer networking to interested students. Topics include, but are not limited to:
*P2P Networks
*Cloud Computing
*Datacenter Networking
*Future Internet Technologies

For each topic, basic structures, features, applied techniques and security aspects will be taught.

==Schedule==
{| {{Prettytable|width=}}
|-
|{{Hl2}} |'''Date'''
|{{Hl2}} |'''Topic'''
|{{Hl2}} |'''Slides'''
|-
| align="right" | 16.04.2015
| Introduction
| [[Media:ACN_01.pdf‎ | pdf ]]
|-
| align="right" | 23.04.2015
| NO LECTURE (Girls Day)
|
|-
| align="right" | 30.04.2015
| Advanced Topics in Wireless Networks I
| [[Media:ACN_02.pdf‎ | pdf ]]
|
|-
| align="right" | 07.05.2015
| Advanced Topics in Wireless Networks II
|
|-
| align="right" | 14.05.2015
| NO LECTURE (Public Holiday)
|
|-
| align="right" | 21.05.2015
| Advanced Topics in P2P
|
|-
| align="right" | 28.05.2015
| Problems with the current way of Networking I
|
|-
| align="right" | 04.06.2015
| Problems with the current way of Networking II
|
|-
| align="right" | 11.06.2015
| New Networking Techniques I
|
|-
| align="right" | 18.06.2015
| New Networking Techniques II
|
|-
| align="right" | 25.06.2015
| New Networking Techniques III
|
|-
| align="right" | 02.07.2015
| New Networking Techniques IV
|
|-
| align="right" | 09.07.2015
| New Networking Techniques V
|
|-
| align="right" | 16.07.2015
| Examination
|
|-
|}

==Prerequisites==
* Computer Science I, II; Computer Networks

[[Category:Courses]]

Seminar on Internet Technologies (Summer 2015)

2015-04-17T04:09:09Z

Ssigg: /* Topics */

{{Announcement|IMPORTANT: Please send a mail to Mayutan with the topic supervisor on CC and the topic that you would like to take}}

== Details ==

{{CourseDetails
|credits=5 ECTS (BSc/MSc AI); 5 (ITIS)
|module= M.Inf.1124 ''-or-'' B.Inf.1207/1208; ITIS Module 3.16: Selected Topics in Internet Technologies
|lecturer=[https://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai?lang=de Dr. Mayutan Arumaithurai]
|ta= None
|time=April 16th (Thursday), 16:00ct: Introduction Meeting
|place=IFI Building, Room 3.101
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=148938&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
}}

==Course description==

This course covers selected topics on the up-to-date Internet technologies and research. Each student takes a topic, does a presentation and writes a report on it. Besides the introduction meeting on April 16th, there are no regular meetings, lectures or classes for this course. The students have to keep in constant touch with their topic advisor in order to prepare for the final presentation. The purpose of this course is to familiarize the students with new technologies, enable independent study of a specific topic, and train presentation and writing skills.

The informational meeting at the beginning of the course will cover some guidelines on scientific presenting and writing.

{{Announcement|NOTE: Presentation slots will be allocated to those students whose topic advisor informs me that the student has done sufficient ground work and have submitted a first draft of the presentation two weeks before the final presentations}}

==Passing requirements==
* Actively participate in the project communication with your topic advisor
** This accounts for 30% of your grade.
* Present the selected topic (15 min. presentation + 5 min. Q&A).
** In order to receive a presentation slot, the topic advisor needs to agree atleast two weeks before the presentation that the work done is sufficient, the student has submitted a first draft of the slides and has agreed on a Table of Content for the final report.
** This accounts for 40% of your grade.
** The grade is based on your presentation as well as your interaction level during the presentation sessions (Hint: Be attentive and ask questions)
* Write a report on the selected topic (12-15 pages) (LaTeX Template:[ftp://ftp.springer.de/pub/tex/latex/llncs/latex2e/llncs2e.zip]).
** This accounts for 30% of your grade.
* Please check the [[#Schedule]] and adhere to it.

==Schedule==
* '''April 16th, 16:00ct''': Informational meeting (+ intro to presenting and writing) [https://dl.dropboxusercontent.com/u/1652374/SIT/SIT-intro.pdf Introductory Slides (pdf)][https://dl.dropboxusercontent.com/u/1652374/SIT/SIT-intro.ppt Introductory Slides (ppt)]
* '''July 8th, 23:59 CET''': Deadline for getting confirmation from topic advisor that you are eligible for the final presentations.
* '''July 15th, 23:59 CET''': Deadline for registration in FlexNow/ITIS System
* '''July 23rd, 30th (tentative)''' : Presentations
* '''September 30, 2015, 23:59''': Deadline for submission of report

==Presentation Schedule==

== Topics ==

{{Announcement|IMPORTANT: Please send a mail to Mayutan with the topic supervisor on CC and the topic that you would like to take}}

{| align="center" class="wikitable sortable" {{Prettytable}}
|-
|{{Hl2}} |'''Topic'''
|{{Hl2}} |'''Topic Advisor'''
|{{Hl2}} |'''Initial Readings'''
|-
|style="width: 70%;"|
|-
| '''What is the current status and future of SDN research? What are the main research problems of SDN? '''
There is a lot of hype about SDN with industries, operators and Academia showing interest. The aim of this work is to study what research problems exist and also identify promising solutions.
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
| [http://en.wikipedia.org/wiki/Software-defined_networking]
|-
| ''' A survey of SDN standardization '''
There is a lot of hype about SDN with industries, operators and Academia showing interest. The aim of this work is to study the standardization efforts ongoing in SDN.
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
| [http://en.wikipedia.org/wiki/Software-defined_networking]
|-
| ''' Can we use machine learning methods in SDN? '''
The SDN technology is revolutionizing both the network research and industry. The idea that using machine learning methods in SDN has been under the exploitation by some companies and researchers. In this project, a survey of the work related to this idea is required.
| [http://www.net.informatik.uni-goettingen.de/people/narisu_tao Narisu Tao]
| [http://www.hpl.hp.com/people/jklee/com094-qazi2PSTS.pdf] , [https://www.sec.in.tum.de/assets/Uploads/MAVincentSommer.pdf], [http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6998241&url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel7%2F6979384%2F6998226%2F06998241.pdf%3Farnumber%3D6998241]
|-
| ''' What is Scala? '''
The functional programming paradigm is crucial for the coming Big Data challenge. Scala is a programming language which fits very well this paradigm. A brief introduction on the history, main ideas and industry adaptiveness of Scala are required.
| [http://www.net.informatik.uni-goettingen.de/people/narisu_tao Narisu Tao]
| [http://en.wikipedia.org/wiki/Scala_(programming_language)]
|-

| '''A survey of publish/subscribe in ICN '''
The aim of this work is to study and compare the existing publish/subscribe communication support in different ICN solutions.
| [http://www.net.informatik.uni-goettingen.de/people/jiachen_chen Jiachen Chen]
| [http://en.wikipedia.org/wiki/Information-centric_networking], [http://en.wikipedia.org/wiki/Publish%E2%80%93subscribe_pattern]
|-
| '''Information-centric networks'''
The study here will mainly focus on different Information-Centric Network (ICN) proposals and compare the difference among them.
| [http://www.net.informatik.uni-goettingen.de/people/jiachen_chen Jiachen Chen]
| [http://en.wikipedia.org/wiki/Information-centric_networking]
|-
| '''Routing in NDN'''
NDN is one of the most recent information-centric network designs. The focus of the network has shifted from ''location'' (IP addresses) to the ''content'' (names of the contents).
In IP, address spaces are divided into domains by some network management entities (ISPs) and the routing take advantage of this division.
But in NDN, content names no longer follow this rule. This complicates the routing in NDN.

This study will focus on the different routing mechanisms and compare the pros and cons of each mechanism.

Students who have knowledge about routing preferred.
| [http://www.net.informatik.uni-goettingen.de/people/jie_li Jie Li]
| [http://en.wikipedia.org/wiki/Named_data_networking], [http://dl.acm.org/citation.cfm?id=2491231], [http://dl.acm.org/citation.cfm?id=2660141], [http://dl.acm.org/citation.cfm?id=2342498], [http://dl.acm.org/citation.cfm?id=2491232]
|-
| '''Caching in ICN'''
As one of the most significant properties of ICN, in-network caching is excepted to improve network performance.
In this topic, the student need to give a survey on the status quo of caching in ICN.
| [http://www.net.informatik.uni-goettingen.de/people/jie_li Jie Li]
| [http://dl.acm.org/citation.cfm?id=2342501], [http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6957152&tag=1],[http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6883812], [http://dl.acm.org/citation.cfm?id=2643105]
|-
| '''What is deep learning and its applications?''' ''( Assigned to Alexander Warnecke)''
The study is to have a basic knowledge of deep learning and learn to use some tools to implement some deep learning algorithms.
| [http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]
| TBA
|-
| '''Tensor methods for machine learning''' ''( Assigned to Burcu Coskun)''
Tensor methods for machine learning are fast, accurate, and scalable, but we'll need well-developed libraries. In this work, we will try to understand tensor based methods.
| [http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]
| [http://www.cs.cornell.edu/CV/TenWork/FinalReport.pdf][http://arxiv.org/abs/1309.0787][http://opt-ml.org/papers/opt2014_submission_15.pdf][http://arxiv.org/abs/1406.4566]
|-
| '''Applying Machine Learning to Computer Networks''' ''( Assigned to Omar Shaya)''
Machine Learning is one of the big topics in computer science today. However, it has rarely been applied to computer networking.
In this topic, we will investigate one of the few applications thought of so far to answer one question:
Can and should we apply machine learning to detect attacks in networks?
| [http://user.informatik.uni-goettingen.de/~dkoll David Koll]
| [http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6524462]
|-
| '''Controllers in Software-defined Networks - A Survey''' ''(Assigned to Pouya Saeedfar)''
SDN introduces the concept of a logically centralized controller in charge of operating the network, while routers and switches are reduced to simple forwarding elements.
In this topic, the student will provide a survey over the state-of-the-art in SDN controllers.
| [http://user.informatik.uni-goettingen.de/~dkoll David Koll]
| [https://www.sdxcentral.com/resources/sdn/sdn-controllers/][http://www.cs.yale.edu/homes/jf/nox.pdf]
|-
| '''What Will 5G Be? - A Survey'''
This study is to provide a comprehensive survey on the key enabling communication technologies for 5G networks.
| [http://www.net.informatik.uni-goettingen.de/people/xu_chen Xu Chen]
| [http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6824752]
|-
| '''What Will Smart Grid Be? – A Survey'''
The Smart Grid, regarded as the next generation power grid, uses two-way flows of electricity and information to create a widely distributed automated energy delivery network. This study is to provide a comprehensive survey on the key enabling technologies and services for Smart Grid.
| [http://www.net.informatik.uni-goettingen.de/people/xu_chen Xu Chen]
| [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6099519]
|-
|'''On the recognition of emotion from Social media and sensor readings''' ''(assigned to Amine Lasfar)''

Recently, there are multiple efforts to extend the capabilities of data analysis tools e.g. for social media or wearable systems towards the recognition of sentiment - human emotions and internal states.
Examples are studies on emotion contagion on facebook, or the introduction of wearable technology capable to capture sentiment like prominently glasses or watches.
The student shall give a structured overview on recent advances in this field.
(Note: An independent literature survey is expected. It is NOT sufficient to just read and summarise the literature provided.)
| [http://www.net.informatik.uni-goettingen.de/people/stephan_sigg Stephan Sigg]
| [http://www.pnas.org/content/111/24/8788.full] [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6468032] [https://www.jins-jp.com/jinsmeme/en/] [http://www.apple.com/watch/]
|-
|'''Utilising the wireless channel as a mathematical calculator - A comprehensive technical dicussion'''

This topic focuses recent research efforts towards the calculation of mathematical functions on the wireless channel.
The student shall give a comprehensive and technical introduction of different approaches and recent advances in this field.
(Note: An independent literature survey is expected. It is NOT sufficient to just read and summarise the literature provided.)
| [http://www.net.informatik.uni-goettingen.de/people/stephan_sigg Stephan Sigg]
| [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6751603] [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6402311]
|-

|''' Virtual Machine and Data Migration in Cloud computing'''

This topic requires to study and compare the state-of-the-art techniques employed in Virtual machine and data migration in Cloud Computing systems. Then try to propose new mechanisms and optimisations for carrying out the migration efficiently.

| [http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni]
| [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6558130] [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6969026]
|-
|'''Survey of Network and Application Load balancing techniques ''' ''(Assigned to Benjamin Baum)''

The work here is to study and compare the state-of-the-art techniques employed in Network and Server Load balancing techniques. Identify different network layer (L2 to L7) load balancing techniques and mechanisms followed in the inter and intra data centres and Clouds.

| [http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni]
| [http://dl.acm.org/ft_gateway.cfm?id=2486026&ftid=1388630&dwn=1&CFID=652100403&CFTOKEN=19617420] [http://research.microsoft.com/pubs/220640/sigcomm14-duet-final.pdf] [http://yuba.stanford.edu/~nikhilh/pubs/handigol-gec9.pdf]
|-
|'''Compressive sensing -- An introduction and overview''' ''(Sub-topic 1: assigned to Sabyasachi Ghosh; Sub-topic 2: ; Sub-topic 3: )''
Compressive sensing is a method to reconstruct a sparse signal, by solving underdetermined linear equations.
In the scope of this topic, a comprehensive introduction and overview is given on compressive sensing, applications and recent developments.
(Note: An independent literature survey is expected. It is NOT sufficient to just read and summarise the literature provided.)
| [http://www.net.informatik.uni-goettingen.de/people/stephan_sigg Stephan Sigg]
|
|-
|
'''Random Matrix Theory for signal processing '''

Random matrix theory has numerous applications in physics, statistics and engineering.
Although initially motivated by practical experimental problems, random matrices are now used in very diverse fields including physics, mathematics, but also neural networks, information theory and signal processing.
The student will recapitulate the basic concepts of random matrix theory and summarise recent advances in this field with relation to signal processing, in particular in communications.

| [http://www.stephansigg.de Stephan Sigg]
|For general introduction:
*[http://books.google.de/books/about/Random_Matrix_Methods_for_Wireless_Commu.html?id=_j7pT9HjKAUC&redir_esc=y]

|-

|}

==Workﬂow==

=== 1. Select a topic ===
A student picks a topic to work on. You can pick up a topic and start working '''at any time'''. However, make sure to notify Mayutan and the advisor of the topic before starting to work.

=== 2. Get your work advised ===
For each topic, a topic advisor is available. He is your contact person for questions and problems regarding the topic. He supports you as much as you want, so please do not hesitate to approach him for any advice or with any questions you might have. It is recommended (and not mandatory) that you schedule a face-to-face meeting with him right after you select your topic.

=== 3. Approach your topic ===

* By choosing a topic, you choose the direction of elaboration.
* You may work in different styles, for example:
** Survey: Basic introduction, overview of the ﬁeld; general problems, methods, approaches.
** Specific problem: Detailed introduction, details about the problem and the solution.
* You should include your own thoughts on your topic.

=== 4. Prepare your presentation ===

* Present your topic to the audience (in English).
* 15 minutes of presentation followed by 5-10 minutes discussion.

You present your topic to an audience of students and other interested people (usually the [http://www.net.informatik.uni-goettingen.de/ NET] group members). Your presentation should give the audience a general idea of the topic and highlight interesting problems and solutions. You have 15 minutes to present your topic followed by 10 minutes of discussion. You must keep it within the time limit. Please send your slides to your topic advisor for any possible feedback before your presentation.

Hints for preparing the presentation:
* 15 minutes are too short to present a topic fully.
* It is alright to focus just on one certain important aspect.
* Limit the introduction of basics (5 min.).
* Make sure to ﬁnish in time.

Suggestions for preparing the slides:
* No more than 15 pages/slides.
* Get your audiences to quickly understand the general idea.
* Figures, tables and animations are better than sentences.
* Summary of the topic: thinking in your own words.

=== 5. Write your report ===

* Present the problem with its background.
* Detail the approaches, techniques, methods to handle the problem.
* Evaluate and assess those approaches (e.g., pros and cons).
* Give a short outlook on potential future developments.

The report must be written in English according to common guidelines for scientific papers, between 12 and 15 pages of content (excluding the table of content, bibliography, etc.).

=== 6. Course schedule===
There are no regular meetings, lectures or classes for this course. The work is expected to be done by yourself with the assistance of your topic advisor. Please follow the [[#Schedule]] to take appropriate actions.

[[Category:Courses]]

Seminar on Internet Technologies (Summer 2015)

2015-04-16T07:10:26Z

Ssigg: /* Topics */

{{Announcement|IMPORTANT: Please send a mail to Mayutan with the topic supervisor on CC and the topic that you would like to take}}

== Details ==

{{CourseDetails
|credits=5 ECTS (BSc/MSc AI); 5 (ITIS)
|module= M.Inf.1124 ''-or-'' B.Inf.1207/1208; ITIS Module 3.16: Selected Topics in Internet Technologies
|lecturer=[http://user.informatik.uni-goettingen.de/~fu Prof. Dr. Xiaoming Fu]
|ta=[https://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai?lang=de Dr. Mayutan Arumaithurai]
|time=April 16th (Thursday), 16:00ct: Introduction Meeting
|place=IFI Building, Room 3.101
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=148938&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
}}

==Course description==

This course covers selected topics on the up-to-date Internet technologies and research. Each student takes a topic, does a presentation and writes a report on it. Besides the introduction meeting on April 16th, there are no regular meetings, lectures or classes for this course. The students have to keep in constant touch with their topic advisor in order to prepare for the final presentation. The purpose of this course is to familiarize the students with new technologies, enable independent study of a specific topic, and train presentation and writing skills.

The informational meeting at the beginning of the course will cover some guidelines on scientific presenting and writing.

{{Announcement|NOTE: Presentation slots will be allocated to those students whose topic advisor informs me that the student has done sufficient ground work and have submitted a first draft of the presentation two weeks before the final presentations}}

==Passing requirements==
* Actively participate in the project communication with your topic advisor (30%)
* Present the selected topic (15 min. presentation + 5 min. Q&A).
** In order to receive a presentation slot, the topic advisor needs to agree atleast two weeks before the presentation that the work done is sufficient and the student has submitted a first draft.
** This accounts for 30% of your grade.
* Write a report on the selected topic (12-15 pages) (LaTeX Template:[ftp://ftp.springer.de/pub/tex/latex/llncs/latex2e/llncs2e.zip]).
** This accounts for 40% of your grade.
* Please check the [[#Schedule]] and adhere to it.

==Schedule==
* '''April 16th, 16:00ct''': Informational meeting (+ intro to presenting and writing) '''([[Media:sitintro.pdf‎ | Introduction Slides]])'''
* '''July 8th, 23:59 CET''': Deadline for getting confirmation from topic advisor that you are eligible for the final presentations.
* '''July 15th, 23:59 CET''': Deadline for registration in FlexNow/ITIS System
* '''July 23rd, 30th (tentative)''' : Presentations
* '''September 30, 2015, 23:59''': Deadline for submission of report

==Presentation Schedule==

== Topics ==

{{Announcement|IMPORTANT: Please send a mail to Mayutan with the topic supervisor on CC and the topic that you would like to take}}

{| align="center" class="wikitable sortable" {{Prettytable}}
|-
|{{Hl2}} |'''Topic'''
|{{Hl2}} |'''Topic Advisor'''
|{{Hl2}} |'''Initial Readings'''
|-
|style="width: 70%;"|
|-
| '''What is the current status and future of SDN research? What are the main research problems of SDN? '''
There is a lot of hype about SDN with industries, operators and Academia showing interest. The aim of this work is to study what research problems exist and also identify promising solutions.
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
| [http://en.wikipedia.org/wiki/Software-defined_networking]
|-
| ''' A survey of SDN standardization '''
There is a lot of hype about SDN with industries, operators and Academia showing interest. The aim of this work is to study the standardization efforts ongoing in SDN.
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
| [http://en.wikipedia.org/wiki/Software-defined_networking]
|-
| ''' Can we use machine learning methods in SDN? '''
The SDN technology is revolutionizing both the network research and industry. The idea that using machine learning methods in SDN has been under the exploitation by some companies and researchers. In this project, a survey of the work related to this idea is required.
| [http://www.net.informatik.uni-goettingen.de/people/narisu_tao Narisu Tao]
| [http://www.hpl.hp.com/people/jklee/com094-qazi2PSTS.pdf] , [https://www.sec.in.tum.de/assets/Uploads/MAVincentSommer.pdf], [http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6998241&url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel7%2F6979384%2F6998226%2F06998241.pdf%3Farnumber%3D6998241]
|-
| ''' What is Scala? '''
The functional programming paradigm is crucial for the coming Big Data challenge. Scala is a programming language which fits very well this paradigm. A brief introduction on the history, main ideas and industry adaptiveness of Scala are required.
| [http://www.net.informatik.uni-goettingen.de/people/narisu_tao Narisu Tao]
| [http://en.wikipedia.org/wiki/Scala_(programming_language)]
|-

| '''A survey of publish/subscribe in ICN '''
The aim of this work is to study and compare the existing publish/subscribe communication support in different ICN solutions.
| [http://www.net.informatik.uni-goettingen.de/people/jiachen_chen Jiachen Chen]
| [http://en.wikipedia.org/wiki/Information-centric_networking], [http://en.wikipedia.org/wiki/Publish%E2%80%93subscribe_pattern]
|-
| '''Information-centric networks'''
The study here will mainly focus on different Information-Centric Network (ICN) proposals and compare the difference among them.
| [http://www.net.informatik.uni-goettingen.de/people/jiachen_chen Jiachen Chen]
| [http://en.wikipedia.org/wiki/Information-centric_networking]
|-
| '''Routing in NDN'''
NDN is one of the most recent information-centric network designs. The focus of the network has shifted from ''location'' (IP addresses) to the ''content'' (names of the contents).
In IP, address spaces are divided into domains by some network management entities (ISPs) and the routing take advantage of this division.
But in NDN, content names no longer follow this rule. This complicates the routing in NDN.

This study will focus on the different routing mechanisms and compare the pros and cons of each mechanism.

Students who have knowledge about routing preferred.
| [http://www.net.informatik.uni-goettingen.de/people/jie_li Jie Li]
| [http://en.wikipedia.org/wiki/Named_data_networking], [http://dl.acm.org/citation.cfm?id=2491231], [http://dl.acm.org/citation.cfm?id=2660141], [http://dl.acm.org/citation.cfm?id=2342498], [http://dl.acm.org/citation.cfm?id=2491232]
|-
| '''Caching in ICN'''
As one of the most significant properties of ICN, in-network caching is excepted to improve network performance.
In this topic, the student need to give a survey on the status quo of caching in ICN.
| [http://www.net.informatik.uni-goettingen.de/people/jie_li Jie Li]
| [http://dl.acm.org/citation.cfm?id=2342501], [http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6957152&tag=1],[http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6883812], [http://dl.acm.org/citation.cfm?id=2643105]
|-
| '''What is deep learning and its applications?''' ''( Assigned to Alexander Warnecke)''
The study is to have a basic knowledge of deep learning and learn to use some tools to implement some deep learning algorithms.
| [http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]
| TBA
|-
| '''Tensor methods for machine learning''' ''( Assigned to Burcu Coskun)''
Tensor methods for machine learning are fast, accurate, and scalable, but we'll need well-developed libraries. In this work, we will try to understand tensor based methods.
| [http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]
| [http://www.cs.cornell.edu/CV/TenWork/FinalReport.pdf][http://arxiv.org/abs/1309.0787][http://opt-ml.org/papers/opt2014_submission_15.pdf][http://arxiv.org/abs/1406.4566]
|-
| '''Applying Machine Learning to Computer Networks''' ''( Assigned to Omar Shaya)''
Machine Learning is one of the big topics in computer science today. However, it has rarely been applied to computer networking.
In this topic, we will investigate one of the few applications thought of so far to answer one question:
Can and should we apply machine learning to detect attacks in networks?
| [http://user.informatik.uni-goettingen.de/~dkoll David Koll]
| [http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6524462]
|-
| '''Controllers in Software-defined Networks - A Survey'''
SDN introduces the concept of a logically centralized controller in charge of operating the network, while routers and switches are reduced to simple forwarding elements.
In this topic, the student will provide a survey over the state-of-the-art in SDN controllers.
| [http://user.informatik.uni-goettingen.de/~dkoll David Koll]
| [https://www.sdxcentral.com/resources/sdn/sdn-controllers/][http://www.cs.yale.edu/homes/jf/nox.pdf]
|-
| '''What Will 5G Be? - A Survey'''
This study is to provide a comprehensive survey on the key enabling communication technologies for 5G networks.
| [http://www.net.informatik.uni-goettingen.de/people/xu_chen Xu Chen]
| [http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6824752]
|-
| '''What Will Smart Grid Be? – A Survey'''
The Smart Grid, regarded as the next generation power grid, uses two-way flows of electricity and information to create a widely distributed automated energy delivery network. This study is to provide a comprehensive survey on the key enabling technologies and services for Smart Grid.
| [http://www.net.informatik.uni-goettingen.de/people/xu_chen Xu Chen]
| [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6099519]
|-
|'''On the recognition of emotion from Social media and sensor readings'''

Recently, there are multiple efforts to extend the capabilities of data analysis tools e.g. for social media or wearable systems towards the recognition of sentiment - human emotions and internal states.
Examples are studies on emotion contagion on facebook, or the introduction of wearable technology capable to capture sentiment like prominently glasses or watches.
The student shall give a structured overview on recent advances in this field.
(Note: An independent literature survey is expected. It is NOT sufficient to just read and summarise the literature provided.)
| [http://www.net.informatik.uni-goettingen.de/people/stephan_sigg Stephan Sigg]
| [http://www.pnas.org/content/111/24/8788.full] [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6468032] [https://www.jins-jp.com/jinsmeme/en/] [http://www.apple.com/watch/]
|-
|'''Utilising the wireless channel as a mathematical calculator - A comprehensive technical dicussion'''

This topic focuses recent research efforts towards the calculation of mathematical functions on the wireless channel.
The student shall give a comprehensive and technical introduction of different approaches and recent advances in this field.
(Note: An independent literature survey is expected. It is NOT sufficient to just read and summarise the literature provided.)
| [http://www.net.informatik.uni-goettingen.de/people/stephan_sigg Stephan Sigg]
| [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6751603] [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6402311]
|-

|''' Virtual Machine and Data Migration in Cloud computing'''

This topic requires to study and compare the state-of-the-art techniques employed in Virtual machine and data migration in Cloud Computing systems. Then try to propose new mechanisms and optimisations for carrying out the migration efficiently.

| [http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni]
| [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6558130] [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6969026]
|-
|'''Survey of Network and Application Load balancing techniques ''' ''(Assigned to Benjamin Baum)''

The work here is to study and compare the state-of-the-art techniques employed in Network and Server Load balancing techniques. Identify different network layer (L2 to L7) load balancing techniques and mechanisms followed in the inter and intra data centres and Clouds.

| [http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni]
| [http://dl.acm.org/ft_gateway.cfm?id=2486026&ftid=1388630&dwn=1&CFID=652100403&CFTOKEN=19617420] [http://research.microsoft.com/pubs/220640/sigcomm14-duet-final.pdf] [http://yuba.stanford.edu/~nikhilh/pubs/handigol-gec9.pdf]
|-
|'''Compressive sensing -- An introduction and overview''' ''(Sub-topic 1: assigned to Sabyasachi Ghosh; Sub-topic 2: ; Sub-topic 3: )''
Compressive sensing is a method to reconstruct a sparse signal, by solving underdetermined linear equations.
In the scope of this topic, a comprehensive introduction and overview is given on compressive sensing, applications and recent developments.
(Note: An independent literature survey is expected. It is NOT sufficient to just read and summarise the literature provided.)
| [http://www.net.informatik.uni-goettingen.de/people/stephan_sigg Stephan Sigg]
|
|-
|
'''Random Matrix Theory for signal processing '''

Random matrix theory has numerous applications in physics, statistics and engineering.
Although initially motivated by practical experimental problems, random matrices are now used in very diverse fields including physics, mathematics, but also neural networks, information theory and signal processing.
The student will recapitulate the basic concepts of random matrix theory and summarise recent advances in this field with relation to signal processing, in particular in communications.

| [http://www.stephansigg.de Stephan Sigg]
|For general introduction:
*[http://books.google.de/books/about/Random_Matrix_Methods_for_Wireless_Commu.html?id=_j7pT9HjKAUC&redir_esc=y]

|-

|}

==Workﬂow==

=== 1. Select a topic ===
A student picks a topic to work on. You can pick up a topic and start working '''at any time'''. However, make sure to notify Mayutan and the advisor of the topic before starting to work.

=== 2. Get your work advised ===
For each topic, a topic advisor is available. He is your contact person for questions and problems regarding the topic. He supports you as much as you want, so please do not hesitate to approach him for any advice or with any questions you might have. It is recommended (and not mandatory) that you schedule a face-to-face meeting with him right after you select your topic.

=== 3. Approach your topic ===

* By choosing a topic, you choose the direction of elaboration.
* You may work in different styles, for example:
** Survey: Basic introduction, overview of the ﬁeld; general problems, methods, approaches.
** Specific problem: Detailed introduction, details about the problem and the solution.
* You should include your own thoughts on your topic.

=== 4. Prepare your presentation ===

* Present your topic to the audience (in English).
* 20 minutes of presentation followed by 10 minutes discussion.

You present your topic to an audience of students and other interested people (usually the [http://www.net.informatik.uni-goettingen.de/ NET] group members). Your presentation should give the audience a general idea of the topic and highlight interesting problems and solutions. You have 20 minutes to present your topic followed by 10 minutes of discussion. You must keep it within the time limit. Please send your slides to your topic advisor for any possible feedback before your presentation.

Hints for preparing the presentation:
* 20 minutes are too short to present a topic fully.
* It is alright to focus just on one certain important aspect.
* Limit the introduction of basics (5 min.).
* Make sure to ﬁnish in time.

Suggestions for preparing the slides:
* No more than 20 pages/slides.
* Get your audiences to quickly understand the general idea.
* Figures, tables and animations are better than sentences.
* Summary of the topic: thinking in your own words.

=== 5. Write your report ===

* Present the problem with its background.
* Detail the approaches, techniques, methods to handle the problem.
* Evaluate and assess those approaches (e.g., pros and cons).
* Give a short outlook on potential future developments.

The report must be written in English according to common guidelines for scientific papers, between 12 and 15 pages of content (excluding the table of content, bibliography, etc.).

=== 6. Course schedule===
There are no regular meetings, lectures or classes for this course. The work is expected to be done by yourself with the assistance of your topic advisor. Please follow the [[#Schedule]] to take appropriate actions.

[[Category:Courses]]

Seminar on Internet Technologies (Summer 2015)

2015-04-16T07:09:39Z

Ssigg: /* Topics */

{{Announcement|IMPORTANT: Please send a mail to Mayutan with the topic supervisor on CC and the topic that you would like to take}}

== Details ==

{{CourseDetails
|credits=5 ECTS (BSc/MSc AI); 5 (ITIS)
|module= M.Inf.1124 ''-or-'' B.Inf.1207/1208; ITIS Module 3.16: Selected Topics in Internet Technologies
|lecturer=[http://user.informatik.uni-goettingen.de/~fu Prof. Dr. Xiaoming Fu]
|ta=[https://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai?lang=de Dr. Mayutan Arumaithurai]
|time=April 16th (Thursday), 16:00ct: Introduction Meeting
|place=IFI Building, Room 3.101
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=148938&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
}}

==Course description==

This course covers selected topics on the up-to-date Internet technologies and research. Each student takes a topic, does a presentation and writes a report on it. Besides the introduction meeting on April 16th, there are no regular meetings, lectures or classes for this course. The students have to keep in constant touch with their topic advisor in order to prepare for the final presentation. The purpose of this course is to familiarize the students with new technologies, enable independent study of a specific topic, and train presentation and writing skills.

The informational meeting at the beginning of the course will cover some guidelines on scientific presenting and writing.

{{Announcement|NOTE: Presentation slots will be allocated to those students whose topic advisor informs me that the student has done sufficient ground work and have submitted a first draft of the presentation two weeks before the final presentations}}

==Passing requirements==
* Actively participate in the project communication with your topic advisor (30%)
* Present the selected topic (15 min. presentation + 5 min. Q&A).
** In order to receive a presentation slot, the topic advisor needs to agree atleast two weeks before the presentation that the work done is sufficient and the student has submitted a first draft.
** This accounts for 30% of your grade.
* Write a report on the selected topic (12-15 pages) (LaTeX Template:[ftp://ftp.springer.de/pub/tex/latex/llncs/latex2e/llncs2e.zip]).
** This accounts for 40% of your grade.
* Please check the [[#Schedule]] and adhere to it.

==Schedule==
* '''April 16th, 16:00ct''': Informational meeting (+ intro to presenting and writing) '''([[Media:sitintro.pdf‎ | Introduction Slides]])'''
* '''July 8th, 23:59 CET''': Deadline for getting confirmation from topic advisor that you are eligible for the final presentations.
* '''July 15th, 23:59 CET''': Deadline for registration in FlexNow/ITIS System
* '''July 23rd, 30th (tentative)''' : Presentations
* '''September 30, 2015, 23:59''': Deadline for submission of report

==Presentation Schedule==

== Topics ==

{{Announcement|IMPORTANT: Please send a mail to Mayutan with the topic supervisor on CC and the topic that you would like to take}}

{| align="center" class="wikitable sortable" {{Prettytable}}
|-
|{{Hl2}} |'''Topic'''
|{{Hl2}} |'''Topic Advisor'''
|{{Hl2}} |'''Initial Readings'''
|-
|style="width: 70%;"|
|-
| '''What is the current status and future of SDN research? What are the main research problems of SDN? '''
There is a lot of hype about SDN with industries, operators and Academia showing interest. The aim of this work is to study what research problems exist and also identify promising solutions.
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
| [http://en.wikipedia.org/wiki/Software-defined_networking]
|-
| ''' A survey of SDN standardization '''
There is a lot of hype about SDN with industries, operators and Academia showing interest. The aim of this work is to study the standardization efforts ongoing in SDN.
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
| [http://en.wikipedia.org/wiki/Software-defined_networking]
|-
| ''' Can we use machine learning methods in SDN? '''
The SDN technology is revolutionizing both the network research and industry. The idea that using machine learning methods in SDN has been under the exploitation by some companies and researchers. In this project, a survey of the work related to this idea is required.
| [http://www.net.informatik.uni-goettingen.de/people/narisu_tao Narisu Tao]
| [http://www.hpl.hp.com/people/jklee/com094-qazi2PSTS.pdf] , [https://www.sec.in.tum.de/assets/Uploads/MAVincentSommer.pdf], [http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6998241&url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel7%2F6979384%2F6998226%2F06998241.pdf%3Farnumber%3D6998241]
|-
| ''' What is Scala? '''
The functional programming paradigm is crucial for the coming Big Data challenge. Scala is a programming language which fits very well this paradigm. A brief introduction on the history, main ideas and industry adaptiveness of Scala are required.
| [http://www.net.informatik.uni-goettingen.de/people/narisu_tao Narisu Tao]
| [http://en.wikipedia.org/wiki/Scala_(programming_language)]
|-

| '''A survey of publish/subscribe in ICN '''
The aim of this work is to study and compare the existing publish/subscribe communication support in different ICN solutions.
| [http://www.net.informatik.uni-goettingen.de/people/jiachen_chen Jiachen Chen]
| [http://en.wikipedia.org/wiki/Information-centric_networking], [http://en.wikipedia.org/wiki/Publish%E2%80%93subscribe_pattern]
|-
| '''Information-centric networks'''
The study here will mainly focus on different Information-Centric Network (ICN) proposals and compare the difference among them.
| [http://www.net.informatik.uni-goettingen.de/people/jiachen_chen Jiachen Chen]
| [http://en.wikipedia.org/wiki/Information-centric_networking]
|-
| '''Routing in NDN'''
NDN is one of the most recent information-centric network designs. The focus of the network has shifted from ''location'' (IP addresses) to the ''content'' (names of the contents).
In IP, address spaces are divided into domains by some network management entities (ISPs) and the routing take advantage of this division.
But in NDN, content names no longer follow this rule. This complicates the routing in NDN.

This study will focus on the different routing mechanisms and compare the pros and cons of each mechanism.

Students who have knowledge about routing preferred.
| [http://www.net.informatik.uni-goettingen.de/people/jie_li Jie Li]
| [http://en.wikipedia.org/wiki/Named_data_networking], [http://dl.acm.org/citation.cfm?id=2491231], [http://dl.acm.org/citation.cfm?id=2660141], [http://dl.acm.org/citation.cfm?id=2342498], [http://dl.acm.org/citation.cfm?id=2491232]
|-
| '''Caching in ICN'''
As one of the most significant properties of ICN, in-network caching is excepted to improve network performance.
In this topic, the student need to give a survey on the status quo of caching in ICN.
| [http://www.net.informatik.uni-goettingen.de/people/jie_li Jie Li]
| [http://dl.acm.org/citation.cfm?id=2342501], [http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6957152&tag=1],[http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6883812], [http://dl.acm.org/citation.cfm?id=2643105]
|-
| '''What is deep learning and its applications?''' ''( Assigned to Alexander Warnecke)''
The study is to have a basic knowledge of deep learning and learn to use some tools to implement some deep learning algorithms.
| [http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]
| TBA
|-
| '''Tensor methods for machine learning''' ''( Assigned to Burcu Coskun)''
Tensor methods for machine learning are fast, accurate, and scalable, but we'll need well-developed libraries. In this work, we will try to understand tensor based methods.
| [http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]
| [http://www.cs.cornell.edu/CV/TenWork/FinalReport.pdf][http://arxiv.org/abs/1309.0787][http://opt-ml.org/papers/opt2014_submission_15.pdf][http://arxiv.org/abs/1406.4566]
|-
| '''Applying Machine Learning to Computer Networks''' ''( Assigned to Omar Shaya)''
Machine Learning is one of the big topics in computer science today. However, it has rarely been applied to computer networking.
In this topic, we will investigate one of the few applications thought of so far to answer one question:
Can and should we apply machine learning to detect attacks in networks?
| [http://user.informatik.uni-goettingen.de/~dkoll David Koll]
| [http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6524462]
|-
| '''Controllers in Software-defined Networks - A Survey'''
SDN introduces the concept of a logically centralized controller in charge of operating the network, while routers and switches are reduced to simple forwarding elements.
In this topic, the student will provide a survey over the state-of-the-art in SDN controllers.
| [http://user.informatik.uni-goettingen.de/~dkoll David Koll]
| [https://www.sdxcentral.com/resources/sdn/sdn-controllers/][http://www.cs.yale.edu/homes/jf/nox.pdf]
|-
| '''What Will 5G Be? - A Survey'''
This study is to provide a comprehensive survey on the key enabling communication technologies for 5G networks.
| [http://www.net.informatik.uni-goettingen.de/people/xu_chen Xu Chen]
| [http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6824752]
|-
| '''What Will Smart Grid Be? – A Survey'''
The Smart Grid, regarded as the next generation power grid, uses two-way flows of electricity and information to create a widely distributed automated energy delivery network. This study is to provide a comprehensive survey on the key enabling technologies and services for Smart Grid.
| [http://www.net.informatik.uni-goettingen.de/people/xu_chen Xu Chen]
| [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6099519]
|-
|'''On the recognition of emotion from Social media and sensor readings'''

Recently, there are multiple efforts to extend the capabilities of data analysis tools e.g. for social media or wearable systems towards the recognition of sentiment - human emotions and internal states.
Examples are studies on emotion contagion on facebook, or the introduction of wearable technology capable to capture sentiment like prominently glasses or watches.
The student shall give a structured overview on recent advances in this field.
(Note: An independent literature survey is expected. It is NOT sufficient to just read and summarise the literature provided.)
| [http://www.net.informatik.uni-goettingen.de/people/stephan_sigg Stephan Sigg]
| [http://www.pnas.org/content/111/24/8788.full] [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6468032] [https://www.jins-jp.com/jinsmeme/en/] [http://www.apple.com/watch/]
|-
|'''Utilising the wireless channel as a mathematical calculator - A comprehensive technical dicussion'''

This topic focuses recent research efforts towards the calculation of mathematical functions on the wireless channel.
The student shall give a comprehensive and technical introduction of different approaches and recent advances in this field.
(Note: An independent literature survey is expected. It is NOT sufficient to just read and summarise the literature provided.)
| [http://www.net.informatik.uni-goettingen.de/people/stephan_sigg Stephan Sigg]
| [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6751603] [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6402311]
|-

|''' Virtual Machine and Data Migration in Cloud computing'''

This topic requires to study and compare the state-of-the-art techniques employed in Virtual machine and data migration in Cloud Computing systems. Then try to propose new mechanisms and optimisations for carrying out the migration efficiently.

| [http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni]
| [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6558130] [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6969026]
|-
|'''Survey of Network and Application Load balancing techniques ''' ''(Assigned to Benjamin Baum)''

The work here is to study and compare the state-of-the-art techniques employed in Network and Server Load balancing techniques. Identify different network layer (L2 to L7) load balancing techniques and mechanisms followed in the inter and intra data centres and Clouds.

| [http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni]
| [http://dl.acm.org/ft_gateway.cfm?id=2486026&ftid=1388630&dwn=1&CFID=652100403&CFTOKEN=19617420] [http://research.microsoft.com/pubs/220640/sigcomm14-duet-final.pdf] [http://yuba.stanford.edu/~nikhilh/pubs/handigol-gec9.pdf]
|-
|'''Compressive sensing -- An introduction and overview''' Sub-topic 1: assigned to Sabyasachi Ghosh; Sub-topic 2: ; Sub-topic 3:
Compressive sensing is a method to reconstruct a sparse signal, by solving underdetermined linear equations.
In the scope of this topic, a comprehensive introduction and overview is given on compressive sensing, applications and recent developments.
(Note: An independent literature survey is expected. It is NOT sufficient to just read and summarise the literature provided.)
| [http://www.net.informatik.uni-goettingen.de/people/stephan_sigg Stephan Sigg]
|
|-
|
'''Random Matrix Theory for signal processing '''

Random matrix theory has numerous applications in physics, statistics and engineering.
Although initially motivated by practical experimental problems, random matrices are now used in very diverse fields including physics, mathematics, but also neural networks, information theory and signal processing.
The student will recapitulate the basic concepts of random matrix theory and summarise recent advances in this field with relation to signal processing, in particular in communications.

| [http://www.stephansigg.de Stephan Sigg]
|For general introduction:
*[http://books.google.de/books/about/Random_Matrix_Methods_for_Wireless_Commu.html?id=_j7pT9HjKAUC&redir_esc=y]

|-

|}

==Workﬂow==

=== 1. Select a topic ===
A student picks a topic to work on. You can pick up a topic and start working '''at any time'''. However, make sure to notify Mayutan and the advisor of the topic before starting to work.

=== 2. Get your work advised ===
For each topic, a topic advisor is available. He is your contact person for questions and problems regarding the topic. He supports you as much as you want, so please do not hesitate to approach him for any advice or with any questions you might have. It is recommended (and not mandatory) that you schedule a face-to-face meeting with him right after you select your topic.

=== 3. Approach your topic ===

* By choosing a topic, you choose the direction of elaboration.
* You may work in different styles, for example:
** Survey: Basic introduction, overview of the ﬁeld; general problems, methods, approaches.
** Specific problem: Detailed introduction, details about the problem and the solution.
* You should include your own thoughts on your topic.

=== 4. Prepare your presentation ===

* Present your topic to the audience (in English).
* 20 minutes of presentation followed by 10 minutes discussion.

You present your topic to an audience of students and other interested people (usually the [http://www.net.informatik.uni-goettingen.de/ NET] group members). Your presentation should give the audience a general idea of the topic and highlight interesting problems and solutions. You have 20 minutes to present your topic followed by 10 minutes of discussion. You must keep it within the time limit. Please send your slides to your topic advisor for any possible feedback before your presentation.

Hints for preparing the presentation:
* 20 minutes are too short to present a topic fully.
* It is alright to focus just on one certain important aspect.
* Limit the introduction of basics (5 min.).
* Make sure to ﬁnish in time.

Suggestions for preparing the slides:
* No more than 20 pages/slides.
* Get your audiences to quickly understand the general idea.
* Figures, tables and animations are better than sentences.
* Summary of the topic: thinking in your own words.

=== 5. Write your report ===

* Present the problem with its background.
* Detail the approaches, techniques, methods to handle the problem.
* Evaluate and assess those approaches (e.g., pros and cons).
* Give a short outlook on potential future developments.

The report must be written in English according to common guidelines for scientific papers, between 12 and 15 pages of content (excluding the table of content, bibliography, etc.).

=== 6. Course schedule===
There are no regular meetings, lectures or classes for this course. The work is expected to be done by yourself with the assistance of your topic advisor. Please follow the [[#Schedule]] to take appropriate actions.

[[Category:Courses]]

Machine Learning and Pervasive Computing (Summer 2015)

2015-04-15T05:02:46Z

Ssigg: /* Details */

File:MLnotes 01.pdf

2015-04-13T09:25:17Z

Ssigg:

File:ML 01.pdf

2015-04-13T09:24:52Z

Ssigg:

File:ML 00.pdf

2015-04-13T09:24:19Z

Ssigg:

Machine Learning and Pervasive Computing (Summer 2015)

2015-04-13T09:23:46Z

Ssigg: /* Schedule */

== Details ==
{{CourseDetails
|credits=180h, 5 ECTS
|module=M.Inf.1223: Spezielle fortgeschrittene Aspekte der Computernetzwerke
|lecturer=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&moduleCall=webInfo&publishConfFile=webInfoPerson&publishSubDir=personal&keep=y&purge=y&personal.pid=128205 Stephan Sigg]
|ta= --
|time=Mondays, 08.15 - 09.45.; Exercise: (bi-weekly)
|place=IfI 3.101
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=167781&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
}}

==Course Overview==
The course will give a comprehensive overview on Machine learning with applications in Pervasive Computing.

* Course topics
** Introduction to Machine learning
** Features and feature extraction
** Feature subset selection
** Performance metrics
** Rule-based learning
** Regression approaches
** High dimensional data
** Artificial Neural Network learning
** Probabilistic approaches
** Topic models
** nearest neighbour methods
** Unsupervised learning and Clustering
** Anomaly detection
** Recommender systems

==Schedule==
* Monday, '''April 13th, 2015, 08.15 - 09.45''': Lecture 1
** [[Media:ML_00.pdf | Organisation (pdf)]]
** [[Media:ML_01.pdf | Introduction (pdf)]]
** [[Media:MLnotes_01.pdf | Lecture notes (Introduction) (pdf)]]
* Monday, '''April 20th, 2015, 08.15 - 09.45''': Lecture 2
* Monday, '''April 27th, 2015, 08.15 - 09.45''': Lecture 3
* Monday, '''May 04th, 2015, 08.15 - 09.45''': Lecture 4
* Monday, '''May 11th, 2015, 08.15 - 09.45''': No lecture
* Monday, '''May 18th, 2015, 08.15 - 09.45''': Lecture 5
* Monday, '''May 25th, 2015, 08.15 - 09.45''': No lecture
* Monday, '''June 01st, 2015, 08.15 - 09.45''': Lecture 6
* Monday, '''June 08th, 2015, 08.15 - 09.45''': Lecture 7
* Monday, '''June 15th, 2015, 08.15 - 09.45''': Lecture 8
* Monday, '''June 22nd, 2015, 08.15 - 09.45''': Lecture 7
* Monday, '''June 29th, 2015, 08.15 - 09.45''': Lecture 10
* Monday, '''July 06th, 2015, 08.15 - 09.45''': Lecture 11
* Monday, '''July 13th, 2015, 08.15 - 09.45''': Lecture 12

==Requirements==
* Active participation in the exercises required.

[[Category:Courses]]

==Reading List==
* Pervasive and Ubiquitous Computing
** [[http://dl.acm.org/citation.cfm?id=159617 Marc Weiser on challenges in Ubicomp]]
** [[http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6095491 Recent challenges with new devices and interaction]]

* Activity recognition
** [[http://www.pervasive.jku.at/Teaching/_2012SS/EmbeddedSystems/Uebungen/UE52/2004_Activity%20Recognition%20from%20User-Annotated%20Acceleration%20Data_Intille.pdf Activity recognition in Pervasive Computing]]

Machine Learning and Pervasive Computing (Summer 2015)

2015-04-09T16:00:39Z

Ssigg: /* Requirements */

== Details ==
{{CourseDetails
|credits=180h, 5 ECTS
|module=M.Inf.1223: Spezielle fortgeschrittene Aspekte der Computernetzwerke
|lecturer=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&moduleCall=webInfo&publishConfFile=webInfoPerson&publishSubDir=personal&keep=y&purge=y&personal.pid=128205 Stephan Sigg]
|ta= --
|time=Mondays, 08.15 - 09.45.; Exercise: (bi-weekly)
|place=IfI 3.101
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=167781&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
}}

==Course Overview==
The course will give a comprehensive overview on Machine learning with applications in Pervasive Computing.

* Course topics
** Introduction to Machine learning
** Features and feature extraction
** Feature subset selection
** Performance metrics
** Rule-based learning
** Regression approaches
** High dimensional data
** Artificial Neural Network learning
** Probabilistic approaches
** Topic models
** nearest neighbour methods
** Unsupervised learning and Clustering
** Anomaly detection
** Recommender systems

==Schedule==
* Monday, '''April 13th, 2015, 08.15 - 09.45''': Lecture 1
* Monday, '''April 20th, 2015, 08.15 - 09.45''': Lecture 2
* Monday, '''April 27th, 2015, 08.15 - 09.45''': Lecture 3
* Monday, '''May 04th, 2015, 08.15 - 09.45''': Lecture 4
* Monday, '''May 11th, 2015, 08.15 - 09.45''': No lecture
* Monday, '''May 18th, 2015, 08.15 - 09.45''': Lecture 5
* Monday, '''May 25th, 2015, 08.15 - 09.45''': No lecture
* Monday, '''June 01st, 2015, 08.15 - 09.45''': Lecture 6
* Monday, '''June 08th, 2015, 08.15 - 09.45''': Lecture 7
* Monday, '''June 15th, 2015, 08.15 - 09.45''': Lecture 8
* Monday, '''June 22nd, 2015, 08.15 - 09.45''': Lecture 7
* Monday, '''June 29th, 2015, 08.15 - 09.45''': Lecture 10
* Monday, '''July 06th, 2015, 08.15 - 09.45''': Lecture 11
* Monday, '''July 13th, 2015, 08.15 - 09.45''': Lecture 12

==Requirements==
* Active participation in the exercises required.

[[Category:Courses]]

==Reading List==
* Pervasive and Ubiquitous Computing
** [[http://dl.acm.org/citation.cfm?id=159617 Marc Weiser on challenges in Ubicomp]]
** [[http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6095491 Recent challenges with new devices and interaction]]

* Activity recognition
** [[http://www.pervasive.jku.at/Teaching/_2012SS/EmbeddedSystems/Uebungen/UE52/2004_Activity%20Recognition%20from%20User-Annotated%20Acceleration%20Data_Intille.pdf Activity recognition in Pervasive Computing]]

Machine Learning and Pervasive Computing (Summer 2015)

2015-04-09T15:59:57Z

Ssigg: Created page with "== Details == {{CourseDetails |credits=180h, 5 ECTS |module=M.Inf.1223: Spezielle fortgeschrittene Aspekte der Computernetzwerke |lecturer=[https://univz.uni-goettingen.de/qisser..."

== Details ==
{{CourseDetails
|credits=180h, 5 ECTS
|module=M.Inf.1223: Spezielle fortgeschrittene Aspekte der Computernetzwerke
|lecturer=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&moduleCall=webInfo&publishConfFile=webInfoPerson&publishSubDir=personal&keep=y&purge=y&personal.pid=128205 Stephan Sigg]
|ta= --
|time=Mondays, 08.15 - 09.45.; Exercise: (bi-weekly)
|place=IfI 3.101
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=167781&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
}}

==Course Overview==
The course will give a comprehensive overview on Machine learning with applications in Pervasive Computing.

* Course topics
** Introduction to Machine learning
** Features and feature extraction
** Feature subset selection
** Performance metrics
** Rule-based learning
** Regression approaches
** High dimensional data
** Artificial Neural Network learning
** Probabilistic approaches
** Topic models
** nearest neighbour methods
** Unsupervised learning and Clustering
** Anomaly detection
** Recommender systems

==Schedule==
* Monday, '''April 13th, 2015, 08.15 - 09.45''': Lecture 1
* Monday, '''April 20th, 2015, 08.15 - 09.45''': Lecture 2
* Monday, '''April 27th, 2015, 08.15 - 09.45''': Lecture 3
* Monday, '''May 04th, 2015, 08.15 - 09.45''': Lecture 4
* Monday, '''May 11th, 2015, 08.15 - 09.45''': No lecture
* Monday, '''May 18th, 2015, 08.15 - 09.45''': Lecture 5
* Monday, '''May 25th, 2015, 08.15 - 09.45''': No lecture
* Monday, '''June 01st, 2015, 08.15 - 09.45''': Lecture 6
* Monday, '''June 08th, 2015, 08.15 - 09.45''': Lecture 7
* Monday, '''June 15th, 2015, 08.15 - 09.45''': Lecture 8
* Monday, '''June 22nd, 2015, 08.15 - 09.45''': Lecture 7
* Monday, '''June 29th, 2015, 08.15 - 09.45''': Lecture 10
* Monday, '''July 06th, 2015, 08.15 - 09.45''': Lecture 11
* Monday, '''July 13th, 2015, 08.15 - 09.45''': Lecture 12

==Requirements==
* Each participant is required to attend and actively participate in the exercises.

[[Category:Courses]]

==Reading List==
* Pervasive and Ubiquitous Computing
** [[http://dl.acm.org/citation.cfm?id=159617 Marc Weiser on challenges in Ubicomp]]
** [[http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6095491 Recent challenges with new devices and interaction]]

* Activity recognition
** [[http://www.pervasive.jku.at/Teaching/_2012SS/EmbeddedSystems/Uebungen/UE52/2004_Activity%20Recognition%20from%20User-Annotated%20Acceleration%20Data_Intille.pdf Activity recognition in Pervasive Computing]]

Teaching

2015-04-09T15:46:41Z

Ssigg: /* Courses Summer Semester 2015 */

== Courses Summer Semester 2015 ==
* [[Practical Course Networking Lab (Summer 2015) | Practical Course Networking Lab]] (BSc)
* [[Practical Course Advanced Networking (Summer 2015) | Practical Course Advanced Networking]] (MSc)
* [[Advanced Topics in Mobile Communications (AToMIC)]] (MSc)
* [[Seminar on Internet Technologies (Summer 2015) | Seminar on Internet Technologies]] (BSc/MSc)
* [[Computer Networks (Summer 2015) | Computer Networks (Exam only!)]] (BSc)
* [[Advanced Computer Networks (Summer 2015) | Advanced Computer Networks]] (MSc)
* [[Machine Learning and Pervasive Computing (Summer 2015) | Machine Learning and Pervasive Computing]] (MSc)

== Courses Winter Semester 2014/2015 ==
* [[Advanced Topics in Computer Networking (Winter 2014/2015) | Advanced Topics in Computer Networking]] (MSc)
* [[Practical Course Networking Lab (Winter 2014/2015) | Practical Course Networking Lab]] (BSc)
* [[Practical Course Advanced Networking (Winter 2014/2015) | Practical Course Advanced Networking]] (MSc)
* [[Seminar on Internet Technologies (Winter 2014/2015) | Seminar on Internet Technologies]] (BSc/MSc)
* [[Computer Networks (Winter 2014/2015) | Computer Networks]] (BSc)
* [[Machine Learning and Pervasive Computing (Winter 2014/2015) | Machine Learning and Pervasive Computing]] (MSc)

In the semester break (end of March) we will be offering a new two-week block course with practical elements on Software-defined Networking (SDN).
The block course logically consists of two consecutive lectures (2x5 ECTS):
* [[Introduction to Software-defined Networking (Winter 2014/2015) | Introduction to Software-defined Networking]] (MSc) (BLOCK COURSE IN MARCH 2015. Please register by 31st January 2015 with David Koll)
* [[Specialization Software-defined Networking (Winter 2014/2015) | Specialization Software-defined Networking]] (MSc) (BLOCK COURSE IN THE LAST WEEK OF MARCH 2015. Please register by 31st January 2015 with Mayutan Arumaithurai )
Students should participate in both lectures, which will both have lecture, seminar and practical elements.

== Courses Summer Semester 2014 ==
* [[Advanced Topics in Social Network and Big Data Methods(Summer 2014) | Advanced Topics in Social Network and Big Data Methods ]] (MSc)
* [[Advances in Mobile Applications and Mobile Cloud Computing(Summer 2014) | Advances in Mobile Applications and Mobile Cloud Computing ]] (MSc)
* [[Practical Course Networking Lab (Summer 2014) | Practical Course Networking Lab]] (BSc)
* [[Practical Course Advanced Networking (Summer 2014) | Practical Course Advanced Networking]] (MSc)
* [[Seminar on Internet Technologies (Summer 2014) | Seminar on Internet Technologies]] (BSc/MSc)
* [[Computer Networks (Summer 2014) | Computer Networks (Exam only!)]] (BSc)
* [[Advanced Computer Networks (Summer 2014) | Advanced Computer Networks]] (MSc)

== Courses Winter Semester 2013/14 ==
* [[Advanced Topics in Computer Networking (Winter 2013/2014) | Advanced Topics in Computer Networking]] (MSc)
* [[Practical Course Networking Lab (Winter 2013/2014) | Practical Course Networking Lab]] (BSc)
* [[Practical Course Advanced Networking (Winter 2013/2014) | Practical Course Advanced Networking]] (MSc)
* [[Seminar on Internet Technologies (Winter 2013/2014) | Seminar on Internet Technologies]] (BSc/MSc)
* [[Computer Networks (Winter 2013/2014) | Computer Networks]] (BSc)
* [[Selected topics in Pervasive Computing (Winter 2013/2014) | Selected Topics in Pervasive Computing]] (MSc)

== Courses Summer Semester 2013 ==
* [[Advanced Topics in Mobile Communications (Summer 2013) | Advanced Topics in Mobile Communications (AToMIC)]] (MSc)
* [[Practical Course Networking Lab (Summer 2013) | Practical Course Networking Lab]] (BSc)
* [[Practical Course Advanced Networking (Summer 2013) | Practical Course Advanced Networking]] (MSc)
* [[Seminar on Internet Technologies (Summer 2013) | Seminar on Internet Technologies]] (BSc/MSc)
* [[Computer Networks (Summer 2013) | Computer Networks]] (BSc)
* [[Advanced Computer Networks (Summer 2013) | Advanced Computer Networks]] (MSc)

== Courses Winter Semester 2012/13 ==
* [[Advanced Topics in Computer Networking (Winter 2012/2013) | Advanced Topics in Computer Networking]] (MSc)
* [[Practical Course Networking Lab (Winter 2012/2013) | Practical Course Networking Lab]] (BSc)
* [[Practical Course Advanced Networking (Winter 2012/2013) | Practical Course Advanced Networking]] (MSc)
* [[Seminar on Internet Technologies (Winter 2012/2013) | Seminar on Internet Technologies]] (BSc/MSc)
* [[Computer Networks (Winter 2012/2013) | Computer Networks]] (BSc)
* [http://www.swe.informatik.uni-goettingen.de/lectures/social-networks-seminar-ws2012 Social Networks Seminar] (MSc)

== Courses Summer Semester 2012 ==
* [[Advanced Topics in Mobile Communications (Summer 2012) | Advanced Topics in Mobile Communications (AToMIC)]] (MSc)
* [[Practical Course Networking Lab (Summer 2012) | Practical Course Networking Lab]] (BSc)
* [[Practical Course Advanced Networking (Summer 2012) | Practical Course Advanced Networking]] (MSc)
* [[Seminar on Internet Technologies (Summer 2012) | Seminar on Internet Technologies]] (BSc/MSc)
* [[Computer Networks (Summer 2012) | Computer Networks]] (BSc)
* [[Advanced Computer Networks (Summer 2012) | Advanced Computer Networks]] (MSc)

== Courses Winter Semester 2011/2012 ==
* [[Advanced Topics in Computer Networking (Winter 2011/2012) | Advanced Topics in Computer Networking]] (MSc)
* [[Practical Course Networking Lab (Winter 2011/2012) | Practical Course Networking Lab]] (BSc)
* [[Practical Course Advanced Networking (Winter 2011/2012) | Practical Course Advanced Networking]] (MSc)
* [[Seminar on Internet Technologies (Winter 2011/2012) | Seminar on Internet Technologies]] (BSc/MSc)
* [[Computer Networks (Winter 2011/2012) | Computer Networks]] (BSc)
* [[Social Networks Colloquium (Winter 2011/2012) | Social Networks Colloquium]] (BSc/MSc)

== Courses Summer Semester 2011 ==
* [[Advanced Topics in Mobile Communications (Summer 2011) | Advanced Topics in Mobile Communications (AToMIC)]] (MSc)
* [[Practical Course Networking Lab (Summer 2011) | Practical Course Networking Lab]] (BSc)
* [[Practical Course Advanced Networking (Summer 2011) | Practical Course Advanced Networking]] (MSc)
* [[Seminar on Internet Technologies (Summer 2011) | Seminar on Internet Technologies]] (BSc/MSc)
* [[Computer Networks (Summer 2011) | Computer Networks]] (BSc)

== Courses Winter Semester 2010/2011 ==
* [[Advanced Topics in Computer Networking (Winter 2010/2011) | Advanced Topics in Computer Networking]] (MSc)
* [[Practical Course Networking Lab (Winter 2010/2011) | Practical Course Networking Lab]] (BSc)
* [[Practical Course Advanced Networking (Winter 2010/2011) | Practical Course Advanced Networking]] (MSc)
* [[Seminar on Internet Technologies (Winter 2010/2011) | Seminar on Internet Technologies]] (BSc/MSc)
* [[Computer Networks (Winter 2010/2011) | Computer Networks (previously Telematik)]] (BSc)
* [[Seminar on Mathematical Models in Computer Networks (Winter 2010/2011) | Seminar on Mathematical Models]] (MSc/PhD)

== Courses Summer Semester 2010 ==
* [[Advanced Topics in Mobile Communications (Summer 2010) | Advanced Topics in Mobile Communications (AToMIC)]] (MSc)
* [[Practical Course Networking Lab (Summer 2010) | Practical Course Networking Lab]] (BSc)
* [[Seminar on Internet Technologies (Summer 2010) | Seminar on Internet Technologies]] (BSc/MSc)
* [[Telematics (Summer 2010) | Telematik/Telematics (Exam only)]] (BSc)

<noinclude>

== Courses Winter Semester 2009/2010 ==
* [[Advanced Topics in Computer Networking (Winter 2009/2010) | Advanced Topics in Computer Networking]] (MSc)
* [[Practical Course Networking Lab (Winter 2009/2010) | Practical Course Networking Lab]] (BSc)
* [[Seminar on Internet Technologies (Winter 2009/2010) | Seminar on Internet Technologies]] (BSc/MSc)
* [[Telematik (Winter 2009/2010) | Telematik]] (BSc)

<noinclude>

== Courses Summer Semester 2009 ==
* [http://www.net.informatik.uni-goettingen.de/teaching/1595 Advanced Topics in Mobile Communications (AToMIC)]
* [[Practical Course Networking Lab (Summer 2009) | Practical Course Networking Lab]]
* [[Seminar on Internet Technologies (Summer 2009) | Seminar on Internet Technologies]]
* [http://www.net.informatik.uni-goettingen.de/teaching/1599 Telematik Exam]

== Courses before Summer 2009==
* For a list of older courses please go [http://www.net.informatik.uni-goettingen.de/teaching here].
</noinclude>

Seminar on Internet Technologies (Summer 2015)

2015-04-04T04:58:37Z

Ssigg: /* Topics */

{{Announcement|IMPORTANT: Please send a mail to Mayutan with the topic supervisor on CC and the topic that you would like to take}}

== Details ==

{{CourseDetails
|credits=5 ECTS (BSc/MSc AI); 5 (ITIS)
|module= M.Inf.1124 ''-or-'' B.Inf.1207/1208; ITIS Module 3.16: Selected Topics in Internet Technologies
|lecturer=[http://user.informatik.uni-goettingen.de/~fu Prof. Dr. Xiaoming Fu]
|ta=[https://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai?lang=de Dr. Mayutan Arumaithurai]
|time=April 16th (Thursday), 16:00ct: Introduction Meeting
|place=IFI Building, Room 3.101
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=148938&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
}}

==Course description==

This course covers selected topics on the up-to-date Internet technologies and research. Each student takes a topic, does a presentation and writes a report on it. Besides the introduction meeting on April 16th, there are no regular meetings, lectures or classes for this course. The purpose of this course is to familiarize the students with new technologies, enable independent study of a specific topic, and train presentation and writing skills.

The informational meeting at the beginning of the course will cover some guidelines on scientific presenting and writing.

==Passing requirements==
* Present the selected topic (20 min. presentation + 10 min. Q&A).
** This accounts for 40% of your grade.
* Write a report on the selected topic (12-15 pages) (LaTeX Template:[ftp://ftp.springer.de/pub/tex/latex/llncs/latex2e/llncs2e.zip]).
** This accounts for 60% of your grade.
* Please check the [[#Schedule]] and adhere to it.

==Schedule==
* '''April 16th, 16:00ct''': Informational meeting (+ intro to presenting and writing) '''([[Media:sitintro.pdf‎ | Introduction Slides]])'''
* '''July 15th, 23:59 CET''': Deadline for registration in FlexNow/ITIS System
* '''July 23rd, 30th (tentative)''' : Presentations
* '''September 30, 2015, 23:59''': Deadline for submission of report

==Presentation Schedule==

== Topics ==

{{Announcement|IMPORTANT: Please send a mail to Mayutan with the topic supervisor on CC and the topic that you would like to take}}

{| align="center" class="wikitable sortable" {{Prettytable}}
|-
|{{Hl2}} |'''Topic'''
|{{Hl2}} |'''Topic Advisor'''
|{{Hl2}} |'''Initial Readings'''
|-
|style="width: 70%;"|
|-
| '''What is the current status and future of SDN research? What are the main research problems of SDN? '''
There is a lot of hype about SDN with industries, operators and Academia showing interest. The aim of this work is to study what research problems exist and also identify promising solutions.
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
| [http://en.wikipedia.org/wiki/Software-defined_networking]
|-
| ''' A survey of SDN standardization '''
There is a lot of hype about SDN with industries, operators and Academia showing interest. The aim of this work is to study the standardization efforts ongoing in SDN.
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
| [http://en.wikipedia.org/wiki/Software-defined_networking]
|-
| '''A survey of publish/subscribe in ICN '''
The aim of this work is to study and compare the existing publish/subscribe communication support in different ICN solutions.
| [http://www.net.informatik.uni-goettingen.de/people/jiachen_chen Jiachen Chen]
| [http://en.wikipedia.org/wiki/Information-centric_networking], [http://en.wikipedia.org/wiki/Publish%E2%80%93subscribe_pattern]
|-
| '''Information-centric networks'''
The study here will mainly focus on different Information-Centric Network (ICN) proposals and compare the difference among them.
| [http://www.net.informatik.uni-goettingen.de/people/jiachen_chen Jiachen Chen]
| [http://en.wikipedia.org/wiki/Information-centric_networking]
|-
| '''Routing in NDN'''
NDN is one of the most recent information-centric network designs. The focus of the network has shifted from ''location'' (IP addresses) to the ''content'' (names of the contents).
In IP, address spaces are divided into domains by some network management entities (ISPs) and the routing take advantage of this division.
But in NDN, content names no longer follow this rule. This complicates the routing in NDN.

This study will focus on the different routing mechanisms and compare the pros and cons of each mechanism.

Students who have knowledge about routing preferred.
| [http://www.net.informatik.uni-goettingen.de/people/jie_li Jie Li]
| [http://en.wikipedia.org/wiki/Named_data_networking], [http://dl.acm.org/citation.cfm?id=2491231], [http://dl.acm.org/citation.cfm?id=2660141], [http://dl.acm.org/citation.cfm?id=2342498], [http://dl.acm.org/citation.cfm?id=2491232]
|-
| '''Caching in ICN'''
As one of the most significant properties of ICN, in-network caching is excepted to improve network performance.
In this topic, the student need to give a survey on the status quo of caching in ICN.
| [http://www.net.informatik.uni-goettingen.de/people/jie_li Jie Li]
| [http://dl.acm.org/citation.cfm?id=2342501], [http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6957152&tag=1],[http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6883812], [http://dl.acm.org/citation.cfm?id=2643105]
|-
| '''What is deep learning and its applications?''' ''( Assigned to Alexander Warnecke)''
The study is to have a basic knowledge of deep learning and learn to use some tools to implement some deep learning algorithms.
| [http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]
| TBA
|-
| '''Tensor methods for machine learning'''
Tensor methods for machine learning are fast, accurate, and scalable, but we'll need well-developed libraries. In this work, we will try to understand tensor based methods.
| [http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]
| [http://www.cs.cornell.edu/CV/TenWork/FinalReport.pdf][http://arxiv.org/abs/1309.0787][http://opt-ml.org/papers/opt2014_submission_15.pdf][http://arxiv.org/abs/1406.4566]
|-
| '''Applying Machine Learning to Computer Networks''' ''( Assigned to Omar Shaya)''
Machine Learning is one of the big topics in computer science today. However, it has rarely been applied to computer networking.
In this topic, we will investigate one of the few applications thought of so far to answer one question:
Can and should we apply machine learning to detect attacks in networks?
| [http://user.informatik.uni-goettingen.de/~dkoll David Koll]
| [http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6524462]
|-
| '''Controllers in Software-defined Networks - A Survey'''
SDN introduces the concept of a logically centralized controller in charge of operating the network, while routers and switches are reduced to simple forwarding elements.
In this topic, the student will provide a survey over the state-of-the-art in SDN controllers.
| [http://user.informatik.uni-goettingen.de/~dkoll David Koll]
| [https://www.sdxcentral.com/resources/sdn/sdn-controllers/][http://www.cs.yale.edu/homes/jf/nox.pdf]
|-
| '''What Will 5G Be? - A Survey'''
This study is to provide a comprehensive survey on the key enabling communication technologies for 5G networks.
| [http://www.net.informatik.uni-goettingen.de/people/xu_chen Xu Chen]
| [http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6824752]
|-
| '''What Will Smart Grid Be? – A Survey'''
The Smart Grid, regarded as the next generation power grid, uses two-way flows of electricity and information to create a widely distributed automated energy delivery network. This study is to provide a comprehensive survey on the key enabling technologies and services for Smart Grid.
| [http://www.net.informatik.uni-goettingen.de/people/xu_chen Xu Chen]
| [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6099519]
|-
|'''On the recognition of emotion from Social media and sensor readings'''

Recently, there are multiple efforts to extend the capabilities of data analysis tools e.g. for social media or wearable systems towards the recognition of sentiment - human emotions and internal states.
Examples are studies on emotion contagion on facebook, or the introduction of wearable technology capable to capture sentiment like prominently glasses or watches.
The student shall give a structured overview on recent advances in this field.
(Note: An independent literature survey is expected. It is NOT sufficient to just read and summarise the literature provided.)
| [http://www.net.informatik.uni-goettingen.de/people/stephan_sigg Stephan Sigg]
| [http://www.pnas.org/content/111/24/8788.full] [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6468032] [https://www.jins-jp.com/jinsmeme/en/] [http://www.apple.com/watch/]
|-
|'''Utilising the wireless channel as a mathematical calculator - A comprehensive technical dicussion'''

This topic focuses recent research efforts towards the calculation of mathematical functions on the wireless channel.
The student shall give a comprehensive and technical introduction of different approaches and recent advances in this field.
(Note: An independent literature survey is expected. It is NOT sufficient to just read and summarise the literature provided.)
| [http://www.net.informatik.uni-goettingen.de/people/stephan_sigg Stephan Sigg]
| [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6751603] [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6402311]
|-

|''' Virtual Machine and Data Migration in Cloud computing'''

This topic requires to study and compare the state-of-the-art techniques employed in Virtual machine and data migration in Cloud Computing systems. Then try to propose new mechanisms and optimisations for carrying out the migration efficiently.

| Sameer
| [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6558130] [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6969026]
|-
|'''Survey of Network and Application Load balancing techniques '''

The work here is to study and compare the state-of-the-art techniques employed in Network and Server Load balancing techniques. Identify different network layer (L2 to L7) load balancing techniques and mechanisms followed in the inter and intra data centres and Clouds.

| Sameer
| [http://dl.acm.org/ft_gateway.cfm?id=2486026&ftid=1388630&dwn=1&CFID=652100403&CFTOKEN=19617420] [http://research.microsoft.com/pubs/220640/sigcomm14-duet-final.pdf] [http://yuba.stanford.edu/~nikhilh/pubs/handigol-gec9.pdf]
|-
|'''Compressive sensing -- An introduction and overview'''
Compressive sensing is a method to reconstruct a sparse signal, by solving underdetermined linear equations.
In the scope of this topic, a comprehensive introduction and overview is given on compressive sensing, applications and recent developments.
(Note: An independent literature survey is expected. It is NOT sufficient to just read and summarise the literature provided.)
| [http://www.net.informatik.uni-goettingen.de/people/stephan_sigg Stephan Sigg]
|
|-
|
'''Random Matrix Theory for signal processing '''

Random matrix theory has numerous applications in physics, statistics and engineering.
Although initially motivated by practical experimental problems, random matrices are now used in very diverse fields including physics, mathematics, but also neural networks, information theory and signal processing.
The student will recapitulate the basic concepts of random matrix theory and summarise recent advances in this field with relation to signal processing, in particular in communications.

| [http://www.stephansigg.de Stephan Sigg]
|For general introduction:
*[http://books.google.de/books/about/Random_Matrix_Methods_for_Wireless_Commu.html?id=_j7pT9HjKAUC&redir_esc=y]

|-

|}

==Workﬂow==

=== 1. Select a topic ===
A student picks a topic to work on. You can pick up a topic and start working '''at any time'''. However, make sure to notify Mayutan and the advisor of the topic before starting to work.

=== 2. Get your work advised ===
For each topic, a topic advisor is available. He is your contact person for questions and problems regarding the topic. He supports you as much as you want, so please do not hesitate to approach him for any advice or with any questions you might have. It is recommended (and not mandatory) that you schedule a face-to-face meeting with him right after you select your topic.

=== 3. Approach your topic ===

* By choosing a topic, you choose the direction of elaboration.
* You may work in different styles, for example:
** Survey: Basic introduction, overview of the ﬁeld; general problems, methods, approaches.
** Specific problem: Detailed introduction, details about the problem and the solution.
* You should include your own thoughts on your topic.

=== 4. Prepare your presentation ===

* Present your topic to the audience (in English).
* 20 minutes of presentation followed by 10 minutes discussion.

You present your topic to an audience of students and other interested people (usually the [http://www.net.informatik.uni-goettingen.de/ NET] group members). Your presentation should give the audience a general idea of the topic and highlight interesting problems and solutions. You have 20 minutes to present your topic followed by 10 minutes of discussion. You must keep it within the time limit. Please send your slides to your topic advisor for any possible feedback before your presentation.

Hints for preparing the presentation:
* 20 minutes are too short to present a topic fully.
* It is alright to focus just on one certain important aspect.
* Limit the introduction of basics (5 min.).
* Make sure to ﬁnish in time.

Suggestions for preparing the slides:
* No more than 20 pages/slides.
* Get your audiences to quickly understand the general idea.
* Figures, tables and animations are better than sentences.
* Summary of the topic: thinking in your own words.

=== 5. Write your report ===

* Present the problem with its background.
* Detail the approaches, techniques, methods to handle the problem.
* Evaluate and assess those approaches (e.g., pros and cons).
* Give a short outlook on potential future developments.

The report must be written in English according to common guidelines for scientific papers, between 12 and 15 pages of content (excluding the table of content, bibliography, etc.).

=== 6. Course schedule===
There are no regular meetings, lectures or classes for this course. The work is expected to be done by yourself with the assistance of your topic advisor. Please follow the [[#Schedule]] to take appropriate actions.

[[Category:Courses]]

Seminar on Internet Technologies (Summer 2015)

2015-04-04T04:21:38Z

Ssigg: /* Topics */

{{Announcement|IMPORTANT: Please send a mail to Mayutan with the topic supervisor on CC and the topic that you would like to take}}

== Details ==

{{CourseDetails
|credits=5 ECTS (BSc/MSc AI); 5 (ITIS)
|module= M.Inf.1124 ''-or-'' B.Inf.1207/1208; ITIS Module 3.16: Selected Topics in Internet Technologies
|lecturer=[http://user.informatik.uni-goettingen.de/~fu Prof. Dr. Xiaoming Fu]
|ta=[https://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai?lang=de Dr. Mayutan Arumaithurai]
|time=April 16th (Thursday), 16:00ct: Introduction Meeting
|place=IFI Building, Room 3.101
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=148938&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
}}

==Course description==

This course covers selected topics on the up-to-date Internet technologies and research. Each student takes a topic, does a presentation and writes a report on it. Besides the introduction meeting on April 16th, there are no regular meetings, lectures or classes for this course. The purpose of this course is to familiarize the students with new technologies, enable independent study of a specific topic, and train presentation and writing skills.

The informational meeting at the beginning of the course will cover some guidelines on scientific presenting and writing.

==Passing requirements==
* Present the selected topic (20 min. presentation + 10 min. Q&A).
** This accounts for 40% of your grade.
* Write a report on the selected topic (12-15 pages) (LaTeX Template:[ftp://ftp.springer.de/pub/tex/latex/llncs/latex2e/llncs2e.zip]).
** This accounts for 60% of your grade.
* Please check the [[#Schedule]] and adhere to it.

==Schedule==
* '''April 16th, 16:00ct''': Informational meeting (+ intro to presenting and writing) '''([[Media:sitintro.pdf‎ | Introduction Slides]])'''
* '''July 15th, 23:59 CET''': Deadline for registration in FlexNow/ITIS System
* '''July 23rd, 30th (tentative)''' : Presentations
* '''September 30, 2015, 23:59''': Deadline for submission of report

==Presentation Schedule==

== Topics ==

{{Announcement|IMPORTANT: Please send a mail to Mayutan with the topic supervisor on CC and the topic that you would like to take}}

{| align="center" class="wikitable sortable" {{Prettytable}}
|-
|{{Hl2}} |'''Topic'''
|{{Hl2}} |'''Topic Advisor'''
|{{Hl2}} |'''Initial Readings'''
|-
|style="width: 70%;"|
|-
| '''What is the current status and future of SDN research? What are the main research problems of SDN? '''
There is a lot of hype about SDN with industries, operators and Academia showing interest. The aim of this work is to study what research problems exist and also identify promising solutions.
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
| [http://en.wikipedia.org/wiki/Software-defined_networking]
|-
| ''' A survey of SDN standardization '''
There is a lot of hype about SDN with industries, operators and Academia showing interest. The aim of this work is to study the standardization efforts ongoing in SDN.
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
| [http://en.wikipedia.org/wiki/Software-defined_networking]
|-
| '''A survey of publish/subscribe in ICN '''
The aim of this work is to study and compare the existing publish/subscribe communication support in different ICN solutions.
| [http://www.net.informatik.uni-goettingen.de/people/jiachen_chen Jiachen Chen]
| [http://en.wikipedia.org/wiki/Information-centric_networking], [http://en.wikipedia.org/wiki/Publish%E2%80%93subscribe_pattern]
|-
| '''Information-centric networks'''
The study here will mainly focus on different Information-Centric Network (ICN) proposals and compare the difference among them.
| [http://www.net.informatik.uni-goettingen.de/people/jiachen_chen Jiachen Chen]
| [http://en.wikipedia.org/wiki/Information-centric_networking]
|-
| '''Routing in NDN'''
NDN is one of the most recent information-centric network designs. The focus of the network has shifted from ''location'' (IP addresses) to the ''content'' (names of the contents).
In IP, address spaces are divided into domains by some network management entities (ISPs) and the routing take advantage of this division.
But in NDN, content names no longer follow this rule. This complicates the routing in NDN.

This study will focus on the different routing mechanisms and compare the pros and cons of each mechanism.

Students who have knowledge about routing preferred.
| [http://www.net.informatik.uni-goettingen.de/people/jie_li Jie Li]
| [http://en.wikipedia.org/wiki/Named_data_networking], [http://dl.acm.org/citation.cfm?id=2491231], [http://dl.acm.org/citation.cfm?id=2660141], [http://dl.acm.org/citation.cfm?id=2342498], [http://dl.acm.org/citation.cfm?id=2491232]
|-
| '''Caching in ICN'''
As one of the most significant properties of ICN, in-network caching is excepted to improve network performance.
In this topic, the student need to give a survey on the status quo of caching in ICN.
| [http://www.net.informatik.uni-goettingen.de/people/jie_li Jie Li]
| [http://dl.acm.org/citation.cfm?id=2342501], [http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6957152&tag=1],[http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6883812], [http://dl.acm.org/citation.cfm?id=2643105]
|-
| '''What is deep learning and its applications?''' ''( Assigned to Alexander Warnecke)''
The study is to have a basic knowledge of deep learning and learn to use some tools to implement some deep learning algorithms.
| [http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]
| TBA
|-
| '''Tensor methods for machine learning'''
Tensor methods for machine learning are fast, accurate, and scalable, but we'll need well-developed libraries. In this work, we will try to understand tensor based methods.
| [http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]
| [http://www.cs.cornell.edu/CV/TenWork/FinalReport.pdf][http://arxiv.org/abs/1309.0787][http://opt-ml.org/papers/opt2014_submission_15.pdf][http://arxiv.org/abs/1406.4566]
|-
| '''Applying Machine Learning to Computer Networks''' ''( Assigned to Omar Shaya)''
Machine Learning is one of the big topics in computer science today. However, it has rarely been applied to computer networking.
In this topic, we will investigate one of the few applications thought of so far to answer one question:
Can and should we apply machine learning to detect attacks in networks?
| [http://user.informatik.uni-goettingen.de/~dkoll David Koll]
| [http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6524462]
|-
| '''Controllers in Software-defined Networks - A Survey'''
SDN introduces the concept of a logically centralized controller in charge of operating the network, while routers and switches are reduced to simple forwarding elements.
In this topic, the student will provide a survey over the state-of-the-art in SDN controllers.
| [http://user.informatik.uni-goettingen.de/~dkoll David Koll]
| [https://www.sdxcentral.com/resources/sdn/sdn-controllers/][http://www.cs.yale.edu/homes/jf/nox.pdf]
|-
| '''What Will 5G Be? - A Survey'''
This study is to provide a comprehensive survey on the key enabling communication technologies for 5G networks.
| [http://www.net.informatik.uni-goettingen.de/people/xu_chen Xu Chen]
| [http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6824752]
|-
| '''What Will Smart Grid Be? – A Survey'''
The Smart Grid, regarded as the next generation power grid, uses two-way flows of electricity and information to create a widely distributed automated energy delivery network. This study is to provide a comprehensive survey on the key enabling technologies and services for Smart Grid.
| [http://www.net.informatik.uni-goettingen.de/people/xu_chen Xu Chen]
| [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6099519]
|-
|'''On the recognition of emotion from Social media and sensor readings'''

Recently, there are multiple efforts to extend the capabilities of data analysis tools e.g. for social media or wearable systems towards the recognition of sentiment - human emotions and internal states.
Examples are studies on emotion contagion on facebook, or the introduction of wearable technology capable to capture sentiment like prominently glasses or watches.
The student shall give a structured overview on recent advances in this field.
(Note: An independent literature survey is expected. It is NOT sufficient to just read and summarise the literature provided.)
| [http://www.net.informatik.uni-goettingen.de/people/stephan_sigg Stephan Sigg]
| [http://www.pnas.org/content/111/24/8788.full] [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6468032] [https://www.jins-jp.com/jinsmeme/en/] [http://www.apple.com/watch/]
|-
|'''Utilising the wireless channel as a mathematical calculator - A comprehensive technical dicussion'''

This topic focuses recent research efforts towards the calculation of mathematical functions on the wireless channel.
The student shall give a comprehensive and technical introduction of different approaches and recent advances in this field.
(Note: An independent literature survey is expected. It is NOT sufficient to just read and summarise the literature provided.)
| [http://www.net.informatik.uni-goettingen.de/people/stephan_sigg Stephan Sigg]
| [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6751603] [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6402311]
|-

|''' Virtual Machine and Data Migration in Cloud computing'''

This topic requires to study and compare the state-of-the-art techniques employed in Virtual machine and data migration in Cloud Computing systems. Then try to propose new mechanisms and optimisations for carrying out the migration efficiently.

| Sameer
| [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6558130] [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6969026]
|-
|'''Survey of Network and Application Load balancing techniques '''

The work here is to study and compare the state-of-the-art techniques employed in Network and Server Load balancing techniques. Identify different network layer (L2 to L7) load balancing techniques and mechanisms followed in the inter and intra data centres and Clouds.

| Sameer
| [http://dl.acm.org/ft_gateway.cfm?id=2486026&ftid=1388630&dwn=1&CFID=652100403&CFTOKEN=19617420] [http://research.microsoft.com/pubs/220640/sigcomm14-duet-final.pdf] [http://yuba.stanford.edu/~nikhilh/pubs/handigol-gec9.pdf]
|-
|'''Compressive sensing -- An introduction and overview'''
Compressive sensing is a method to reconstruct a sparse signal, by solving underdetermined linear equations.
In the scope of this topic, a comprehensive introduction and overview is given on compressive sensing, applications and recent developments.
(Note: An independent literature survey is expected. It is NOT sufficient to just read and summarise the literature provided.)
| [http://www.net.informatik.uni-goettingen.de/people/stephan_sigg Stephan Sigg]
|
|-
|}

==Workﬂow==

=== 1. Select a topic ===
A student picks a topic to work on. You can pick up a topic and start working '''at any time'''. However, make sure to notify Mayutan and the advisor of the topic before starting to work.

=== 2. Get your work advised ===
For each topic, a topic advisor is available. He is your contact person for questions and problems regarding the topic. He supports you as much as you want, so please do not hesitate to approach him for any advice or with any questions you might have. It is recommended (and not mandatory) that you schedule a face-to-face meeting with him right after you select your topic.

=== 3. Approach your topic ===

* By choosing a topic, you choose the direction of elaboration.
* You may work in different styles, for example:
** Survey: Basic introduction, overview of the ﬁeld; general problems, methods, approaches.
** Specific problem: Detailed introduction, details about the problem and the solution.
* You should include your own thoughts on your topic.

=== 4. Prepare your presentation ===

* Present your topic to the audience (in English).
* 20 minutes of presentation followed by 10 minutes discussion.

You present your topic to an audience of students and other interested people (usually the [http://www.net.informatik.uni-goettingen.de/ NET] group members). Your presentation should give the audience a general idea of the topic and highlight interesting problems and solutions. You have 20 minutes to present your topic followed by 10 minutes of discussion. You must keep it within the time limit. Please send your slides to your topic advisor for any possible feedback before your presentation.

Hints for preparing the presentation:
* 20 minutes are too short to present a topic fully.
* It is alright to focus just on one certain important aspect.
* Limit the introduction of basics (5 min.).
* Make sure to ﬁnish in time.

Suggestions for preparing the slides:
* No more than 20 pages/slides.
* Get your audiences to quickly understand the general idea.
* Figures, tables and animations are better than sentences.
* Summary of the topic: thinking in your own words.

=== 5. Write your report ===

* Present the problem with its background.
* Detail the approaches, techniques, methods to handle the problem.
* Evaluate and assess those approaches (e.g., pros and cons).
* Give a short outlook on potential future developments.

The report must be written in English according to common guidelines for scientific papers, between 12 and 15 pages of content (excluding the table of content, bibliography, etc.).

=== 6. Course schedule===
There are no regular meetings, lectures or classes for this course. The work is expected to be done by yourself with the assistance of your topic advisor. Please follow the [[#Schedule]] to take appropriate actions.

[[Category:Courses]]

Seminar on Internet Technologies (Summer 2015)

2015-04-04T04:17:46Z

Ssigg: /* Topics */

{{Announcement|IMPORTANT: Please send a mail to Mayutan with the topic supervisor on CC and the topic that you would like to take}}

== Details ==

{{CourseDetails
|credits=5 ECTS (BSc/MSc AI); 5 (ITIS)
|module= M.Inf.1124 ''-or-'' B.Inf.1207/1208; ITIS Module 3.16: Selected Topics in Internet Technologies
|lecturer=[http://user.informatik.uni-goettingen.de/~fu Prof. Dr. Xiaoming Fu]
|ta=[https://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai?lang=de Dr. Mayutan Arumaithurai]
|time=April 16th (Thursday), 16:00ct: Introduction Meeting
|place=IFI Building, Room 3.101
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=148938&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
}}

==Course description==

This course covers selected topics on the up-to-date Internet technologies and research. Each student takes a topic, does a presentation and writes a report on it. Besides the introduction meeting on April 16th, there are no regular meetings, lectures or classes for this course. The purpose of this course is to familiarize the students with new technologies, enable independent study of a specific topic, and train presentation and writing skills.

The informational meeting at the beginning of the course will cover some guidelines on scientific presenting and writing.

==Passing requirements==
* Present the selected topic (20 min. presentation + 10 min. Q&A).
** This accounts for 40% of your grade.
* Write a report on the selected topic (12-15 pages) (LaTeX Template:[ftp://ftp.springer.de/pub/tex/latex/llncs/latex2e/llncs2e.zip]).
** This accounts for 60% of your grade.
* Please check the [[#Schedule]] and adhere to it.

==Schedule==
* '''April 16th, 16:00ct''': Informational meeting (+ intro to presenting and writing) '''([[Media:sitintro.pdf‎ | Introduction Slides]])'''
* '''July 15th, 23:59 CET''': Deadline for registration in FlexNow/ITIS System
* '''July 23rd, 30th (tentative)''' : Presentations
* '''September 30, 2015, 23:59''': Deadline for submission of report

==Presentation Schedule==

== Topics ==

{{Announcement|IMPORTANT: Please send a mail to Mayutan with the topic supervisor on CC and the topic that you would like to take}}

{| align="center" class="wikitable sortable" {{Prettytable}}
|-
|{{Hl2}} |'''Topic'''
|{{Hl2}} |'''Topic Advisor'''
|{{Hl2}} |'''Initial Readings'''
|-
|style="width: 70%;"|
|-
| '''What is the current status and future of SDN research? What are the main research problems of SDN? '''
There is a lot of hype about SDN with industries, operators and Academia showing interest. The aim of this work is to study what research problems exist and also identify promising solutions.
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
| [http://en.wikipedia.org/wiki/Software-defined_networking]
|-
| ''' A survey of SDN standardization '''
There is a lot of hype about SDN with industries, operators and Academia showing interest. The aim of this work is to study the standardization efforts ongoing in SDN.
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
| [http://en.wikipedia.org/wiki/Software-defined_networking]
|-
| '''A survey of publish/subscribe in ICN '''
The aim of this work is to study and compare the existing publish/subscribe communication support in different ICN solutions.
| [http://www.net.informatik.uni-goettingen.de/people/jiachen_chen Jiachen Chen]
| [http://en.wikipedia.org/wiki/Information-centric_networking], [http://en.wikipedia.org/wiki/Publish%E2%80%93subscribe_pattern]
|-
| '''Information-centric networks'''
The study here will mainly focus on different Information-Centric Network (ICN) proposals and compare the difference among them.
| [http://www.net.informatik.uni-goettingen.de/people/jiachen_chen Jiachen Chen]
| [http://en.wikipedia.org/wiki/Information-centric_networking]
|-
| '''Routing in NDN'''
NDN is one of the most recent information-centric network designs. The focus of the network has shifted from ''location'' (IP addresses) to the ''content'' (names of the contents).
In IP, address spaces are divided into domains by some network management entities (ISPs) and the routing take advantage of this division.
But in NDN, content names no longer follow this rule. This complicates the routing in NDN.

This study will focus on the different routing mechanisms and compare the pros and cons of each mechanism.

Students who have knowledge about routing preferred.
| [http://www.net.informatik.uni-goettingen.de/people/jie_li Jie Li]
| [http://en.wikipedia.org/wiki/Named_data_networking], [http://dl.acm.org/citation.cfm?id=2491231], [http://dl.acm.org/citation.cfm?id=2660141], [http://dl.acm.org/citation.cfm?id=2342498], [http://dl.acm.org/citation.cfm?id=2491232]
|-
| '''Caching in ICN'''
As one of the most significant properties of ICN, in-network caching is excepted to improve network performance.
In this topic, the student need to give a survey on the status quo of caching in ICN.
| [http://www.net.informatik.uni-goettingen.de/people/jie_li Jie Li]
| [http://dl.acm.org/citation.cfm?id=2342501], [http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6957152&tag=1],[http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6883812], [http://dl.acm.org/citation.cfm?id=2643105]
|-
| '''What is deep learning and its applications?''' ''( Assigned to Alexander Warnecke)''
The study is to have a basic knowledge of deep learning and learn to use some tools to implement some deep learning algorithms.
| [http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]
| TBA
|-
| '''Tensor methods for machine learning'''
Tensor methods for machine learning are fast, accurate, and scalable, but we'll need well-developed libraries. In this work, we will try to understand tensor based methods.
| [http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]
| [http://www.cs.cornell.edu/CV/TenWork/FinalReport.pdf][http://arxiv.org/abs/1309.0787][http://opt-ml.org/papers/opt2014_submission_15.pdf][http://arxiv.org/abs/1406.4566]
|-
| '''Applying Machine Learning to Computer Networks''' ''( Assigned to Omar Shaya)''
Machine Learning is one of the big topics in computer science today. However, it has rarely been applied to computer networking.
In this topic, we will investigate one of the few applications thought of so far to answer one question:
Can and should we apply machine learning to detect attacks in networks?
| [http://user.informatik.uni-goettingen.de/~dkoll David Koll]
| [http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6524462]
|-
| '''Controllers in Software-defined Networks - A Survey'''
SDN introduces the concept of a logically centralized controller in charge of operating the network, while routers and switches are reduced to simple forwarding elements.
In this topic, the student will provide a survey over the state-of-the-art in SDN controllers.
| [http://user.informatik.uni-goettingen.de/~dkoll David Koll]
| [https://www.sdxcentral.com/resources/sdn/sdn-controllers/][http://www.cs.yale.edu/homes/jf/nox.pdf]
|-
| '''What Will 5G Be? - A Survey'''
This study is to provide a comprehensive survey on the key enabling communication technologies for 5G networks.
| [http://www.net.informatik.uni-goettingen.de/people/xu_chen Xu Chen]
| [http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6824752]
|-
| '''What Will Smart Grid Be? – A Survey'''
The Smart Grid, regarded as the next generation power grid, uses two-way flows of electricity and information to create a widely distributed automated energy delivery network. This study is to provide a comprehensive survey on the key enabling technologies and services for Smart Grid.
| [http://www.net.informatik.uni-goettingen.de/people/xu_chen Xu Chen]
| [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6099519]
|-
|'''On the recognition of emotion from Social media and sensor readings'''

Recently, there are multiple efforts to extend the capabilities of data analysis tools e.g. for social media or wearable systems towards the recognition of sentiment - human emotions and internal states.
Examples are studies on emotion contagion on facebook, or the introduction of wearable technology capable to capture sentiment like prominently glasses or watches.
The student shall give a structured overview on recent advances in this field.
| [http://www.net.informatik.uni-goettingen.de/people/stephan_sigg Stephan Sigg]
| [http://www.pnas.org/content/111/24/8788.full] [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6468032] [https://www.jins-jp.com/jinsmeme/en/] [http://www.apple.com/watch/]
|-
|'''Utilising the wireless channel as a mathematical calculator - Summarising recent advances'''

This topic focuses recent research efforts towards the calculation of mathematical functions on the wireless channel.
The student shall give a structured overview on recent advances in this field.
| [http://www.net.informatik.uni-goettingen.de/people/stephan_sigg Stephan Sigg]
| [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6751603] [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6402311]
|-

|''' Virtual Machine and Data Migration in Cloud computing'''

This topic requires to study and compare the state-of-the-art techniques employed in Virtual machine and data migration in Cloud Computing systems. Then try to propose new mechanisms and optimisations for carrying out the migration efficiently.

| Sameer
| [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6558130] [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6969026]
|-
|'''Survey of Network and Application Load balancing techniques '''

The work here is to study and compare the state-of-the-art techniques employed in Network and Server Load balancing techniques. Identify different network layer (L2 to L7) load balancing techniques and mechanisms followed in the inter and intra data centres and Clouds.

| Sameer
| [http://dl.acm.org/ft_gateway.cfm?id=2486026&ftid=1388630&dwn=1&CFID=652100403&CFTOKEN=19617420] [http://research.microsoft.com/pubs/220640/sigcomm14-duet-final.pdf] [http://yuba.stanford.edu/~nikhilh/pubs/handigol-gec9.pdf]
|-
|'''Compressive sensing -- An introduction and overview'''
Compressive sensing is a method to reconstruct a sparse signal, by solving underdetermined linear equations.
In the scope of this topic, a comprehensive introduction and overview is given on compressive sensing, applications and recent developments.

| [http://www.net.informatik.uni-goettingen.de/people/stephan_sigg Stephan Sigg]
|
|-
|}

==Workﬂow==

=== 1. Select a topic ===
A student picks a topic to work on. You can pick up a topic and start working '''at any time'''. However, make sure to notify Mayutan and the advisor of the topic before starting to work.

=== 2. Get your work advised ===
For each topic, a topic advisor is available. He is your contact person for questions and problems regarding the topic. He supports you as much as you want, so please do not hesitate to approach him for any advice or with any questions you might have. It is recommended (and not mandatory) that you schedule a face-to-face meeting with him right after you select your topic.

=== 3. Approach your topic ===

* By choosing a topic, you choose the direction of elaboration.
* You may work in different styles, for example:
** Survey: Basic introduction, overview of the ﬁeld; general problems, methods, approaches.
** Specific problem: Detailed introduction, details about the problem and the solution.
* You should include your own thoughts on your topic.

=== 4. Prepare your presentation ===

* Present your topic to the audience (in English).
* 20 minutes of presentation followed by 10 minutes discussion.

You present your topic to an audience of students and other interested people (usually the [http://www.net.informatik.uni-goettingen.de/ NET] group members). Your presentation should give the audience a general idea of the topic and highlight interesting problems and solutions. You have 20 minutes to present your topic followed by 10 minutes of discussion. You must keep it within the time limit. Please send your slides to your topic advisor for any possible feedback before your presentation.

Hints for preparing the presentation:
* 20 minutes are too short to present a topic fully.
* It is alright to focus just on one certain important aspect.
* Limit the introduction of basics (5 min.).
* Make sure to ﬁnish in time.

Suggestions for preparing the slides:
* No more than 20 pages/slides.
* Get your audiences to quickly understand the general idea.
* Figures, tables and animations are better than sentences.
* Summary of the topic: thinking in your own words.

=== 5. Write your report ===

* Present the problem with its background.
* Detail the approaches, techniques, methods to handle the problem.
* Evaluate and assess those approaches (e.g., pros and cons).
* Give a short outlook on potential future developments.

The report must be written in English according to common guidelines for scientific papers, between 12 and 15 pages of content (excluding the table of content, bibliography, etc.).

=== 6. Course schedule===
There are no regular meetings, lectures or classes for this course. The work is expected to be done by yourself with the assistance of your topic advisor. Please follow the [[#Schedule]] to take appropriate actions.

[[Category:Courses]]

Seminar on Internet Technologies (Summer 2015)

2015-03-31T16:07:40Z

Ssigg: /* Topics */

{{Announcement|IMPORTANT: Please send a mail to Mayutan with the topic supervisor on CC and the topic that you would like to take}}

== Details ==

{{CourseDetails
|credits=5 ECTS (BSc/MSc AI); 5 (ITIS)
|module= M.Inf.1124 ''-or-'' B.Inf.1207/1208; ITIS Module 3.16: Selected Topics in Internet Technologies
|lecturer=[http://user.informatik.uni-goettingen.de/~fu Prof. Dr. Xiaoming Fu]
|ta=[https://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai?lang=de Dr. Mayutan Arumaithurai]
|time=April 16th (Thursday), 16:00ct: Introduction Meeting
|place=IFI Building, Room 3.101
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=148938&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
}}

==Course description==

This course covers selected topics on the up-to-date Internet technologies and research. Each student takes a topic, does a presentation and writes a report on it. Besides the introduction meeting on April 16th, there are no regular meetings, lectures or classes for this course. The purpose of this course is to familiarize the students with new technologies, enable independent study of a specific topic, and train presentation and writing skills.

The informational meeting at the beginning of the course will cover some guidelines on scientific presenting and writing.

==Passing requirements==
* Present the selected topic (20 min. presentation + 10 min. Q&A).
** This accounts for 40% of your grade.
* Write a report on the selected topic (12-15 pages) (LaTeX Template:[ftp://ftp.springer.de/pub/tex/latex/llncs/latex2e/llncs2e.zip]).
** This accounts for 60% of your grade.
* Please check the [[#Schedule]] and adhere to it.

==Schedule==
* '''April 16th, 16:00ct''': Informational meeting (+ intro to presenting and writing) '''([[Media:sitintro.pdf‎ | Introduction Slides]])'''
* '''July 15th, 23:59 CET''': Deadline for registration in FlexNow/ITIS System
* '''July 23rd, 30th (tentative)''' : Presentations
* '''September 30, 2015, 23:59''': Deadline for submission of report

==Presentation Schedule==

== Topics ==

{{Announcement|IMPORTANT: Please send a mail to Mayutan with the topic supervisor on CC and the topic that you would like to take}}

{| align="center" class="wikitable sortable" {{Prettytable}}
|-
|{{Hl2}} |'''Topic'''
|{{Hl2}} |'''Topic Advisor'''
|{{Hl2}} |'''Initial Readings'''
|-
|style="width: 70%;"|
|-
| '''What is the current status and future of SDN research? What are the main research problems of SDN? '''
There is a lot of hype about SDN with industries, operators and Academia showing interest. The aim of this work is to study what research problems exist and also identify promising solutions.
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
| [http://en.wikipedia.org/wiki/Software-defined_networking]
|-
| ''' A survey of SDN standardization '''
There is a lot of hype about SDN with industries, operators and Academia showing interest. The aim of this work is to study the standardization efforts ongoing in SDN.
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
| [http://en.wikipedia.org/wiki/Software-defined_networking]
|-
| '''A survey of publish/subscribe in ICN '''
The aim of this work is to study and compare the existing publish/subscribe communication support in different ICN solutions.
| [http://www.net.informatik.uni-goettingen.de/people/jiachen_chen Jiachen Chen]
| [http://en.wikipedia.org/wiki/Information-centric_networking], [http://en.wikipedia.org/wiki/Publish%E2%80%93subscribe_pattern]
|-
| '''Information-centric networks'''
The study here will mainly focus on different Information-Centric Network (ICN) proposals and compare the difference among them.
| [http://www.net.informatik.uni-goettingen.de/people/jiachen_chen Jiachen Chen]
| [http://en.wikipedia.org/wiki/Information-centric_networking]
|-
| '''Routing in NDN'''
NDN is one of the most recent information-centric network designs. The focus of the network has shifted from ''location'' (IP addresses) to the ''content'' (names of the contents).
In IP, address spaces are divided into domains by some network management entities (ISPs) and the routing take advantage of this division.
But in NDN, content names no longer follow this rule. This complicates the routing in NDN.

This study will focus on the different routing mechanisms and compare the pros and cons of each mechanism.

Students who have knowledge about routing preferred.
| [http://www.net.informatik.uni-goettingen.de/people/jiachen_chen Jiachen Chen]
| [http://en.wikipedia.org/wiki/Named_data_networking], [http://dl.acm.org/citation.cfm?id=2491231], [http://dl.acm.org/citation.cfm?id=2660141], [http://dl.acm.org/citation.cfm?id=2342498], [http://dl.acm.org/citation.cfm?id=2491232]
|-
| '''What is deep learning and its applications?''' ''( Assigned to Alexander Warnecke)''
The study is to have a basic knowledge of deep learning and learn to use some tools to implement some deep learning algorithms.
| [http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]
| TBA
|-
| '''Tensor methods for machine learning'''
Tensor methods for machine learning are fast, accurate, and scalable, but we'll need well-developed libraries. In this work, we will try to understand tensor based methods.
| [http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]
| [http://www.cs.cornell.edu/CV/TenWork/FinalReport.pdf][http://arxiv.org/abs/1309.0787][http://opt-ml.org/papers/opt2014_submission_15.pdf][http://arxiv.org/abs/1406.4566]
|-
| '''Network Configuration - Past, Present and Future Techniques'''
Network conditions are dynamic; unfortunately, current approaches to configuring networks are very inefficient, as operators today usually have to manually step through the configuration process.
In this topic, the student will do a survey of different network configuration approaches, including those that try to automate network configuration.
| [http://user.informatik.uni-goettingen.de/~dkoll David Koll]
| [https://www.cs.duke.edu/~tbenson/papers/IMC11.pdf][https://www.usenix.org/conference/nsdi15/technical-sessions/presentation/kim]
|-
| '''Applying Machine Learning to Computer Networks''' ''( Assigned to Omar Shaya)''
Machine Learning is one of the big topics in computer science today. However, it has rarely been applied to computer networking.
In this topic, we will investigate one of the few applications thought of so far to answer one question:
Can and should we apply machine learning to detect attacks in networks?
| [http://user.informatik.uni-goettingen.de/~dkoll David Koll]
| [http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6524462]
|-
| '''Controllers in Software-defined Networks - A Survey'''
SDN introduces the concept of a logically centralized controller in charge of operating the network, while routers and switches are reduced to simple forwarding elements.
In this topic, the student will provide a survey over the state-of-the-art in SDN controllers.
| [http://user.informatik.uni-goettingen.de/~dkoll David Koll]
| [https://www.sdxcentral.com/resources/sdn/sdn-controllers/][http://www.cs.yale.edu/homes/jf/nox.pdf]
|-
| '''What Will 5G Be? - A Survey'''
This study is to provide a comprehensive survey on the key enabling communication technologies for 5G networks.
| [http://www.net.informatik.uni-goettingen.de/people/xu_chen Xu Chen]
| [http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6824752]
|-
| '''What Will Smart Grid Be? – A Survey'''
The Smart Grid, regarded as the next generation power grid, uses two-way flows of electricity and information to create a widely distributed automated energy delivery network. This study is to provide a comprehensive survey on the key enabling technologies and services for Smart Grid.
| [http://www.net.informatik.uni-goettingen.de/people/xu_chen Xu Chen]
| [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6099519]
|-
|'''On the recognition of emotion from Social media and sensor readings'''

Recently, there are multiple efforts to extend the capabilities of data analysis tools e.g. for social media or wearable systems towards the recognition of sentiment - human emotions and internal states.
Examples are studies on emotion contagion on facebook, or the introduction of wearable technology capable to capture sentiment like prominently glasses or watches.
The student shall give a structured overview on recent advances in this field.
| [http://www.net.informatik.uni-goettingen.de/people/stephan_sigg Stephan Sigg]
| [http://www.pnas.org/content/111/24/8788.full] [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6468032] [https://www.jins-jp.com/jinsmeme/en/] [http://www.apple.com/watch/]
|-
|'''Utilising the wireless channel as a mathematical calculator - Summarising recent advances'''

This topic focuses recent research efforts towards the calculation of mathematical functions on the wireless channel.
The student shall give a structured overview on recent advances in this field.
| [http://www.net.informatik.uni-goettingen.de/people/stephan_sigg Stephan Sigg]
| [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6751603] [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6402311]
|-

|}

==Workﬂow==

=== 1. Select a topic ===
A student picks a topic to work on. You can pick up a topic and start working '''at any time'''. However, make sure to notify Mayutan and the advisor of the topic before starting to work.

=== 2. Get your work advised ===
For each topic, a topic advisor is available. He is your contact person for questions and problems regarding the topic. He supports you as much as you want, so please do not hesitate to approach him for any advice or with any questions you might have. It is recommended (and not mandatory) that you schedule a face-to-face meeting with him right after you select your topic.

=== 3. Approach your topic ===

* By choosing a topic, you choose the direction of elaboration.
* You may work in different styles, for example:
** Survey: Basic introduction, overview of the ﬁeld; general problems, methods, approaches.
** Specific problem: Detailed introduction, details about the problem and the solution.
* You should include your own thoughts on your topic.

=== 4. Prepare your presentation ===

* Present your topic to the audience (in English).
* 20 minutes of presentation followed by 10 minutes discussion.

You present your topic to an audience of students and other interested people (usually the [http://www.net.informatik.uni-goettingen.de/ NET] group members). Your presentation should give the audience a general idea of the topic and highlight interesting problems and solutions. You have 20 minutes to present your topic followed by 10 minutes of discussion. You must keep it within the time limit. Please send your slides to your topic advisor for any possible feedback before your presentation.

Hints for preparing the presentation:
* 20 minutes are too short to present a topic fully.
* It is alright to focus just on one certain important aspect.
* Limit the introduction of basics (5 min.).
* Make sure to ﬁnish in time.

Suggestions for preparing the slides:
* No more than 20 pages/slides.
* Get your audiences to quickly understand the general idea.
* Figures, tables and animations are better than sentences.
* Summary of the topic: thinking in your own words.

=== 5. Write your report ===

* Present the problem with its background.
* Detail the approaches, techniques, methods to handle the problem.
* Evaluate and assess those approaches (e.g., pros and cons).
* Give a short outlook on potential future developments.

The report must be written in English according to common guidelines for scientific papers, between 12 and 15 pages of content (excluding the table of content, bibliography, etc.).

=== 6. Course schedule===
There are no regular meetings, lectures or classes for this course. The work is expected to be done by yourself with the assistance of your topic advisor. Please follow the [[#Schedule]] to take appropriate actions.

[[Category:Courses]]