Machine Learning in Information and Communication Technology (ICT)

General information

  • Summer semester
  • 6 Credit Points
  • Lecturer: Prof. Dr.-Ing. Anja Klein; Prof. Dr. techn. Heinz Köppl
  • Language: English
  • Lecture times and locations are available in TUCaN.
  • Components: lecture, exercise, Matlab/Python exercise
  • The lecture slides and exercises are available in moodle


  • Overview of probability theory
  • Probabilistic graphical models (PGMs)
  • Inference in PGMs
  • Specific PGMs
  • Mixture models and clustering
  • Regression and classification
  • Introduction to convex optimization
  • Basis function regression and classification as optimization problems
  • Sparse estimation
  • Variational inference
  • Deep learning