Selected topics in Pervasive Computing (Winter 2013/2014): Difference between revisions

Selected topics in Pervasive Computing (Winter 2013/2014) (view source)

Revision as of 16:13, 23 October 2013

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 Depending on the interest of the students, the emphasis on these additional topics may differ.
-- Introduction (main focus)
+Possible course topics (focus according to interest of students):
-(basic introduction to Pervasive computing and its applications)
+* Activity recognition
+** Fundamentals of pattern matching
+** Features and feature extraction
+** Feature subset selection
+** Polynomial curve fitting
+** Parzen estimator
+** k-NN
+** SVM
+** ANN
-- Activity recognition (main focus)
+* Context prediction
-(Fundamentals of pattern matching, features and feature extraction, feature subset selection, polynomial curve fitting, parzen estimator, k-NN, SVM, ANN,...)
+** Operations for single- and multi-dimensional context data
+** Prediction architectures
+** Context processing operations
+** Prediction algorithms
+*** ARMA
+*** Kalman filter based
+*** Approximate pattern matching
+*** Markov predictors
+*** Prediction with independent/principal component analysis
+*** SOM
+*** IPAM
+*** ONISI
+* Security with noisy data / context-based security
+** Entropy
+** One-time-pad
+** Random number generators
+** Statistical tests
+** Fuzzy commitment
+** Fuzzy extractors
+** PUFs
-- Context prediction (extent depending on student interest)
+* Networked objects
-(operations for single- and multi-dimensional context data, prediction architectures, context processing operations, prediction algorithms (e.g. ARMA, Kalman filter based, approximate pattern matching, markov predictors, prediction with independent/principal component analysis, SOM, IPAM, ONISI),...)
+** A generic sensor node
+** Sensor networks
+** Communication protocols
+** Collaborative and cooperative operations
+** Body sensor networks
-- Security with noisy data [Context-based security] (extent depending on student interest)
+* Internet of Things
-(Entropy, one-time-pad, random number generators, statistical tests, fuzzy commitment, fuzzy extractors, PUFs, ...)
+** Communication technologies
+** Sensors
-- Networked objects (extent depending on student interest)
+** RFID
-(a generic sensor node, sensor networks, communication protocols, collaborative and cooperative operations, body sensor networks,...)
+** Printed electronics
+** Organic electronics
-- Internet of Things (extent depending on student interest)
+** Physical layer mathematical operations
-(communication technologies, sensors, RFID, printed electronics, organic electronics, physical layer mathematical operations,...)
-The purpose of this lecture is to discuss some advanced concepts in computer networking. This course is a research seminar (6 ECTS, 2 SWS), held on a weekly base and comprising the following components:
-* Weekly paper reading and discussion + Weekly Presentation
-* Final Presentation
-* Final report
-The material in the seminar, drawn mainly from the research literature from top tier journal/conference, like ToN, TPDS, SIGCOMM, SIGMETRICS, IMC, WWW, CoNEXT. The seminar topics include the following:
-Clean slate architectures and future internet
-Online Social Networking (Architecture, User Behavior, Data Collection, Data Analysis)
-xxx
 ==Schedule==