Com. Techn. 2Communication Technology 2

Communication Technologies 2 - Machine Learning: Applications and Algorithms


  • Informatics-master course: 4 SWS
  • Electrical engineering-master course: 4 SWS
  • Master Program Electrical Communication Engineering: 4 SWS (lecture + laboratory practical training)


Each Thursday 10:15 AM - 11:45 AM

Kind of lecture:

Programming and presentations


By arrangement

Target audience:

  • Informatics - Technical informatics
  • Electrical engineering - Telecommunications
  • Master Program Electrical Communication Engineering


  • Basic knowledge of software prototyping


The lecture contents i.a. following topics:

  • Advanced and actuall topics of machine learning and data mining
  • Usage of algorithms for machine learning, like:
    • Activity Recognition II: Evaluation metrics / Instance based vs. Pattern based evaluation
    • Time Series Segmentation Algorithms
    • Alignment Algorithms for Context Prediction
    • WiFi Fingerprinting
    • Dead Reckoning / Multi Sensor Data Fusion
    • Attention Management Systems
    • Gaussian Mixture Models
    • Home Automation
  • Introduction in the writing of scientific papers
  • Writing of scientific publications, presentations and programming

Practical Training:

The laboratory practical training "Communication Technologies 2" is integrated in this event.




The registration is mandatory and done via HISPOS.

This semester we are adding the students which got a seat to the Moodle course. Via this course you'll get the information how to join the online-lecture.

Start of the lecture

03.11.2022, 10:15 a.m.

Place and time

On Thursdays:

Online via Zoom, 10:15 - 11:45 am, in case of need until 1:15 pm

Person in charge

M. Sc. Johann Götz