Communication Technology 2
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Communication Technologies 2 - Machine Learning: Applications and Algorithms
Credit Transfer:
- Master’s program in Computer Science: 4 SWS
- Master’s Program in Electrical Engineering: 4 SWS
- Master’s Program in Electrical Communication Engineering: 4 SWS (lecture + lab) (only for students who began their studies before 2024)
Course Schedule:
Thursdays 11:00 a.m. to 12:30 p.m.
Course format:
Program component and presentations
Language:
By arrangement
Target audience:
- Computer Science - Technical Computer Science
- Electrical Engineering – Communications Engineering
- Master’s Program in Electrical Communication Engineering (only for students starting before 2024)
Prerequisites:
- Basic knowledge of software development
Registration Process:
Contents:
The course covers the following topics:
- Advanced and current topics in the fields of machine learning and data mining
- Application of machine learning algorithms, including
- Activity Recognition II: Evaluation metrics / Instance-based vs. pattern-based evaluation
- Time Series Segmentation Algorithms
- Alignment Algorithms for Context Prediction
- Wi-Fi Fingerprinting
- Dead Reckoning / Multi-Sensor Data Fusion
- Attention Management Systems
- Gaussian Mixture Models
- Home Automation
- Introduction to Writing Academic Papers
- Writing Academic Papers and Presentations, as well as Programming
Practicum:
The Communication Technologies 2 lab is integrated into the course.
Registration
Registration will take place in eCampus from September.
First event date
Thursday, October 22, 2026, 11:00 a.m., Lecture Hall -1605
Place and time
Thursdays:
WA 73, lecture hall -1605, 11:00 - 12:30, 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.