Com. Techn. 2Communication Technology 2

Communication Technologies 2 - Machine Learning: Applications and Algorithms

Creditability:

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

Units:

Each Thursday 11:00 AM - 12:30 AM

Kind of lecture:

Programming and presentations

Language:

By arrangement

Target audience:

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

Requirements:

  • Basic knowledge of software prototyping

Topics:

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.

 

 

Registration

The registration is mandatory and done via HISPOS, it's possible from September on.

We are adding the students which got a seat to the Moodle course.


Start of the lecture

26.10.2023, 11:00 a.m., room -1605


Place and time

On Thursdays:

room -1605, 11:00 - 12:30 am, in case of need until 2:00 pm


Person in charge

M. Sc. Dandan Liu