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.