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.