Communication Technology 1
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Communication Technologies 1
(Machine learning)
Creditability:
- Computer Science Master's program: 4 SWS
- Electrical Engineering Master's program: 4 SWS
- Master Program Electrical Communication Engineering: 4 SWS(only for students starting before 2024)
Lecture type:
Lectures and presentations
Language:
By arrangement
Target audience:
- Computer science - Computer engineering
- Electrical Engineering - Communications Engineering
- Master Program Electrical Communication Engineering(only for students starting before 2024)
Content:
The content of the lecture includes the following topics:
- Introduction to machine learning
- Collecting data
- Nominal data
- Time series
- Introduction to writing scientific papers
- Feature selection
- Classification
- Bayesian networks
- Markov models
- Decision trees
- Neural networks
- Clustering
Learning objectives:
- Development of new content,
- Presentation of content - both very important skills in the industry
- Scientific work and publishing
- Content: Overview of context recognition
Exam:
- Presentation and 5 page paper
- no written exam
Registration
Registration will take place in eCampus from 17.03.2026.
First event date
Thursday, 23.04.2026, 10:00 a.m., lecture hall 1332
Place and time
Thursdays:
WA 73, lecture room 1332, 10:00 - 12:00, until 14:00 if required
Moodle
Anyone who has been allocated a place will be entered in the Moodle course by us, there is no self-enrollment.