Com. Techn. 1Com. Techn. 1

Communication Technologies 1

(Machine Learning)

Creditability:

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

Kind of lecture:

Lecture and presentations

Language:

By arrangement

Target audience:

  • Informatics - Technical informatics
  • Electrical engineering - Telecommunications
  • Master program electrical communication engineering

Topics:

The lecture contents i.a. following topics:

  • Introduction to machine learning
  • Data collection
    • Nominal data
    • Time series
  • Classification
    • Bayesian networks
    • Markov models
    • Decision trees
  • Clustering
  • Introduction in how to write (composing) scientific papers

Learning objectives:

  • Development of new subject matters,
  • Presentation of subject matters - both are very important skills for the industry
  • Scientific working (papers) and publishing
  • Content: overview of matrix detection

Examinations:

  • Discourse and 5-sided paper
  • No written exam

Practical training:

Only for the ECE-study course:  the laboratory practical training "Communication Technologies 1" is integrated in this event.

Registration

To apply for a seat, please use 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

Thursday, 15.04.2021, 11:00 AM - 12:30 PM


Place and time

On Thursdays:

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

For the next time the lecture will be held online, details are announced soon.