Courses

Lectures

Machine learning and Pervasive Computing (winter term 2014)

Graduate students, Georg-August University Goettingen, Germany

Organisation Introduction Classification Simple learning Random search Bayesian
Decision Tree Nearest neighbour Support Vector Machine Artificial Neural Networks Conditional random fields Unsupervised learning; Dimensionality reduction
Anomaly detection, online learning, Recommender systems

Selected aspects of Pervasive Computing (winter term 2013)

Graduate students, Georg-August University Goettingen, Germany

Organisation Introduction Classification Recognition Security Prediction

Information and Communication Systems (summer term 2012)

PhD students, National Institute of Informatics, Tokyo, Japan

Classification Security with noisy data

Information Networks Systems (winter term 2012)

Undergraduate students, Waseda University, Tokyo, Japan

Introduction to the internet Link layer Link layer (cont.) Network layer Transport layer Application layer
Network management Security and Cryptography Content centric networking

Secure communication based on noisy input data (summer term 2011)

Graduate students, TU Braunschweig, Braunschweig, Germany

Organisation Introduction Classification Features from audio Features from RF Fuzzy Commitment
Fuzzy Extractors Authentication with noisy data Error correcting codes Entropy Phycsically uncolnable functions

Operating Systems ( winter term 2010)

Undergraduate students, TU Braunschweig, Braunschweig, Germany

Organisation Introduction Processes Synchronisation Deadlocks Memory management
File systems Security and protection Distributed systems Cryptography

Cooperative transmission in wireless sensor networks ( winter term 2009, summer term 2010, winter term 2011)

Graduate students, TU Braunschweig, Braunschweig, Germany

Organisation Wireless sensor networks Introduction to communication technology Introduction into probability theory Randomised search approaches Cooperative transmission
Distributed adaptive beamforming Distributed adaptive beamforming Distributed adaptive beamforming
Script

Algorithms for context prediction in ubiquitous systems ( winter term 2008)

Graduate students, TU Braunschweig, Braunschweig, Germany

Organisation Introduction Prediction Introduction to probability theory Prediction by exact sequence matching Markov prediction approaches
State predictor Alignment prediction Prediction by self organising maps Stochastic approaches Prediction by randomised search approaches
Script

Exercises

Practical trainings

Seminars

Graduate presentations

Context prediction

Context prediction in Ubicomp environments Impact of the Context abstraction level on the context prediction accuracy
PhD thesis

Quantum finite automata

Context prediction in Ubicomp environments Impact of the Context abstraction level on the context prediction accuracy Organisation
Diploma thesis