Practical Course Data Science (Summer 2019) - Revision history

Jzhang: /* Schedule */

2019-03-29T15:55:23Z

Schedule

← Older revision		Revision as of 17:55, 29 March 2019
Line 37:		Line 37:
	\|{{Hl2}} \|'''When?'''		\|{{Hl2}} \|'''When?'''
	\|{{Hl2}} \|'''What?'''		\|{{Hl2}} \|'''What?'''
			\|-
			\| align="right" \| 18.04.2019
			\| Lecture 1: Introduction & The Data Science Pipeline - Task 1: Release
	\|-		\|-
	\| align="right" \| 25.04.2019		\| align="right" \| 25.04.2019
	\| Lecture 1&2: ~~Introduction &~~ The Data Science ~~Pipeline - Task 1: Release~~		\| Lecture 2: The Python Data Science Stack
	\|-		\|-
	\| align="right" \| 02.05.2019		\| align="right" \| 02.05.2019

Jzhang: /* Schedule */

2019-03-29T15:00:32Z

Schedule

← Older revision		Revision as of 17:00, 29 March 2019
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	\|{{Hl2}} \|'''When?'''		\|{{Hl2}} \|'''When?'''
	\|{{Hl2}} \|'''What?'''		\|{{Hl2}} \|'''What?'''
	\|-
	~~\| align="right" \| 11.04.2019~~
	~~\| Lecture 1: Introduction & The Data Science Pipeline - Task 1: Release~~
	\|-		\|-
	\| align="right" \| 25.04.2019		\| align="right" \| 25.04.2019
	\| Lecture 2: The ~~Python~~ Data Science ~~Stack~~		\| Lecture 1&2: Introduction & The Data Science Pipeline - Task 1: Release
	\|-		\|-
	\| align="right" \| 02.05.2019		\| align="right" \| 02.05.2019

Jzhang: /* Details */

2019-03-27T10:37:49Z

Details

← Older revision		Revision as of 12:37, 27 March 2019
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	\|time=Thursday, 16-18		\|time=Thursday, 16-18
	\|place=Ifi 2.101		\|place=Ifi 2.101
	\|univz~~=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=203182&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]~~		\|univz
	}}		}}

Jzhang: /* Details */

2019-03-27T10:37:19Z

Details

← Older revision		Revision as of 12:37, 27 March 2019
Line 8:		Line 8:
	\|lecturer=[http://www.net.informatik.uni-goettingen.de/people/xiaoming_fu Prof. Xiaoming Fu]		\|lecturer=[http://www.net.informatik.uni-goettingen.de/people/xiaoming_fu Prof. Xiaoming Fu]
	\|ta=[http://www.net.informatik.uni-goettingen.de/people/jiaquan_zhang MSc. Jiaquan Zhang]		\|ta=[http://www.net.informatik.uni-goettingen.de/people/jiaquan_zhang MSc. Jiaquan Zhang]
	\|time=Thursday, 14-16		\|time=Thursday, 16-18
	\|place=Ifi 2.101		\|place=Ifi 2.101
	\|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=203182&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]		\|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=203182&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]

Jzhang: /* Schedule */

2019-03-26T14:46:58Z

Schedule

← Older revision		Revision as of 16:46, 26 March 2019
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	\|-		\|-
	\| align="right" \| 02.05.2019		\| align="right" \| 02.05.2019
	\| NO LECTURE (~~GIRLS DAY~~)		\| NO LECTURE (Holiday)
	\|-		\|-
	\| align="right" \| 09.05.2019		\| align="right" \| 09.05.2019
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	\|-		\|-
	\| align="right" \| 20.06.2019		\| align="right" \| 20.06.2019
	\| ~~Task 2: Presentations // Task 3: Release~~		\| No lecture
	\|-		\|-
	\| align="right" \| 27.06.2019		\| align="right" \| 27.06.2019
	\| ~~No lecture~~		\| Task 2: Presentations // Task 3: Release
	\|-		\|-
	\| align="right" \| 04.07.2019		\| align="right" \| 04.07.2019

Jzhang: /* Schedule */

2019-03-26T14:44:48Z

Schedule

← Older revision		Revision as of 16:44, 26 March 2019
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	\|-		\|-
	\| align="right" \| 16.05.2019		\| align="right" \| 16.05.2019
	\| ~~NO LECTURE (PUBLIC HOLIDAY)~~		\| Task 1: Presentation of Exemplary Solution // Task 2: Release
	\|-		\|-
	\| align="right" \| 23.05.2019		\| align="right" \| 23.05.2019
	\| ~~Task 1~~: ~~Presentation of Exemplary Solution // Task 2: Release~~		\| Lecture 3: Advanced Algorithms for Data Science
	\|-		\|-
	\| align="right" \| 30.05.2019		\| align="right" \| 30.05.2019
	\| ~~Lecture 3: Advanced Algorithms for Data Science~~		\| NO LECTURE (PUBLIC HOLIDAY)
	\|-		\|-
	\| align="right" \| 06.06.2019		\| align="right" \| 06.06.2019

Jzhang: /* Schedule */

2019-03-26T14:41:44Z

Schedule

← Older revision		Revision as of 16:41, 26 March 2019
Line 38:		Line 38:
	\|{{Hl2}} \|'''What?'''		\|{{Hl2}} \|'''What?'''
	\|-		\|-
	\| align="right" \| 18.04.2019		\| align="right" \| 11.04.2019
	\| Lecture 1: Introduction & The Data Science Pipeline - Task 1: Release		\| Lecture 1: Introduction & The Data Science Pipeline - Task 1: Release
	\|-		\|-

Jzhang: /* Schedule */

2019-03-26T14:40:20Z

Schedule

← Older revision		Revision as of 16:40, 26 March 2019
Line 38:		Line 38:
	\|{{Hl2}} \|'''What?'''		\|{{Hl2}} \|'''What?'''
	\|-		\|-
	\| align="right" \| 12.04.~~2018~~		\| align="right" \| 18.04.2019
	\| Lecture 1: Introduction & The Data Science Pipeline - Task 1: Release		\| Lecture 1: Introduction & The Data Science Pipeline - Task 1: Release
	\|-		\|-
	\| align="right" \| 19.04.~~2018~~		\| align="right" \| 25.04.2019
	\| Lecture 2: The Python Data Science Stack		\| Lecture 2: The Python Data Science Stack
	\|-		\|-
	\| align="right" \| 26.04.~~2018~~		\| align="right" \| 02.05.2019
	\| NO LECTURE (GIRLS DAY)		\| NO LECTURE (GIRLS DAY)
	\|-		\|-
	\| align="right" \| 03.05.~~2018~~		\| align="right" \| 09.05.2019
	\| Task 1: Intermediate meeting		\| Task 1: Intermediate meeting
	\|-		\|-
	\| align="right" \| 10.05.~~2018~~		\| align="right" \| 16.05.2019
	\| NO LECTURE (PUBLIC HOLIDAY)		\| NO LECTURE (PUBLIC HOLIDAY)
	\|-		\|-
	\| align="right" \| 17.05.~~2018~~		\| align="right" \| 23.05.2019
	\| Task 1: Presentation of Exemplary Solution // Task 2: Release		\| Task 1: Presentation of Exemplary Solution // Task 2: Release
	\|-		\|-
	\| align="right" \| 24.05.~~2018~~		\| align="right" \| 30.05.2019
	\| Lecture 3: Advanced Algorithms for Data Science		\| Lecture 3: Advanced Algorithms for Data Science
	\|-		\|-
	\| align="right" \| 31.05.~~2018~~		\| align="right" \| 06.06.2019
	\| Lecture 4: Evaluation and Tuning of Models		\| Lecture 4: Evaluation and Tuning of Models
	\|-		\|-
	\| align="right" \| 07.06.~~2018~~		\| align="right" \| 13.06.2019
	\| Task 2: Intermediate meeting		\| Task 2: Intermediate meeting
	\|-		\|-
	\| align="right" \| 14.06.~~2018~~		\| align="right" \| 20.06.2019
	\| Task 2: Presentations // Task 3: Release		\| Task 2: Presentations // Task 3: Release
	\|-		\|-
	\| align="right" \| 21.06.~~2018~~		\| align="right" \| 27.06.2019
	\| No lecture		\| No lecture
	\|-		\|-
	\| align="right" \| 28.06.~~2018~~		\| align="right" \| 04.07.2019
	\| Task 3: Intermediate meeting I		\| Task 3: Intermediate meeting I
	\|-		\|-
	\| align="right" \| 05.07.~~2018~~		\| align="right" \| 11.07.2019
	\| No lecture		\| No lecture
	\|-		\|-
	\| align="right" \| 12.07.~~2018~~		\| align="right" \| 18.07.2019
	\| Task 3: Intermediate meeting II		\| Task 3: Intermediate meeting II
	\|-		\|-
	\| align="right" \| 08.08.~~2018~~-22.08.~~2018~~		\| align="right" \| 08.08.2019-22.08.2019
	\| Task 3: Presentations		\| Task 3: Presentations
	\|-		\|-
	\| align="right" \| 30.09.~~2018~~		\| align="right" \| 30.09.2019
	\| Final Report deadline		\| Final Report deadline
	\|-		\|-
	\|}		\|}

Jzhang: Created page with "{{Announcement|Note: The primary platform for communication in this course will be StudIP. All materials will be uploaded there.}} == Details == {{CourseDetails |credits=180h, ..."

2019-03-26T14:33:23Z

Created page with "{{Announcement|Note: The primary platform for communication in this course will be StudIP. All materials will be uploaded there.}} == Details == {{CourseDetails |credits=180h, ..."

New page

{{Announcement|Note: The primary platform for communication in this course will be StudIP. All materials will be uploaded there.}}

== Details ==
{{CourseDetails
|credits=180h, 6 ECTS
|module=M.Inf.1800 Fortgeschrittenen Praktikum Computernetzwerke
|lecturer=[http://www.net.informatik.uni-goettingen.de/people/xiaoming_fu Prof. Xiaoming Fu]
|ta=[http://www.net.informatik.uni-goettingen.de/people/jiaquan_zhang MSc. Jiaquan Zhang]
|time=Thursday, 14-16
|place=Ifi 2.101
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=203182&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
}}

==Course Organization==
In this course, you will complete several practical tasks in the realm of data analysis. These tasks can include both exploratory (descriptive) data analysis as well as the application of machine learning algorithms to specific datasets.

While the focus of the course is strongly practical, to support students, the course will provide lectures on different aspects of practical machine learning in the early stages of the course, including:

* Introduction to the practical machine learning pipeline
* Exploratory data analysis
* The Python Data Science stack
* How to deal with unbalanced data
* Advanced algorithms for Data Science (an overview of competition winning algorithms)
* Parameter tuning for predictive models

Students need to submit their solutions to tasks by specific deadlines throughout the course. Note that this course thus requires a continuous effort throughout the whole semester.
Solutions for each task have to be presented in class. A final report needs to be submitted at the end of the semester (September 30).

==Prerequisites==
*You are ''highly recommended'' to have completed a course on Data Science (e.g., "[https://www.swe.informatik.uni-goettingen.de/lectures/data-science-and-big-data-analytics-ws2015 Data Science and Big Data Analytics" taught by Dr. Steffen Herbold] or the Course "Machine Learning" by Stanford University) before entering this course. You need to be familiar with basic statistics (distributions, p/t/z-tests, etc.) and a range of machine learning algorithms (linear/logistic/lasso regression, k-means clustering, k-NN classification etc.).
*Knowledge of any of the following languages: Python (course language), R, JAVA, Matlab or any language that features proper machine learning libraries

==Schedule==
{| {{Prettytable|width=}}
|-
|{{Hl2}} |'''When?'''
|{{Hl2}} |'''What?'''
|-
| align="right" | 12.04.2018
| Lecture 1: Introduction & The Data Science Pipeline - Task 1: Release
|-
| align="right" | 19.04.2018
| Lecture 2: The Python Data Science Stack
|-
| align="right" | 26.04.2018
| NO LECTURE (GIRLS DAY)
|-
| align="right" | 03.05.2018
| Task 1: Intermediate meeting
|-
| align="right" | 10.05.2018
| NO LECTURE (PUBLIC HOLIDAY)
|-
| align="right" | 17.05.2018
| Task 1: Presentation of Exemplary Solution // Task 2: Release
|-
| align="right" | 24.05.2018
| Lecture 3: Advanced Algorithms for Data Science
|-
| align="right" | 31.05.2018
| Lecture 4: Evaluation and Tuning of Models
|-
| align="right" | 07.06.2018
| Task 2: Intermediate meeting
|-
| align="right" | 14.06.2018
| Task 2: Presentations // Task 3: Release
|-
| align="right" | 21.06.2018
| No lecture
|-
| align="right" | 28.06.2018
| Task 3: Intermediate meeting I
|-
| align="right" | 05.07.2018
| No lecture
|-
| align="right" | 12.07.2018
| Task 3: Intermediate meeting II
|-
| align="right" | 08.08.2018-22.08.2018
| Task 3: Presentations
|-
| align="right" | 30.09.2018
| Final Report deadline
|-
|}