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 AM - 2 PM, lecture room 2104

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.

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

05.11.2020, 11 a.m.


Place and time

On Thursdays:

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

The lecture will be held online, details are announced via Moodle.



Person in charge

M. Sc. Michel Morold