Winter Term 2021/22
Overview
We offer the following courses in winter term 2021/22:
- Embedded Systems (Eingebettete Systeme) (Bachelor, German)
- Project: Developing and Deploying a Sensor Network for Smart Buildings (Bachelor/Master, German/English)
- Software Craftmanship (Master, German)
- Cyber Physical Systems Lab (CPS Praktikum) (Master CPS, German)
Announcement for new Study ProgrammeCyber Physical Systems
Winter term 2021/22 will see a new (German) Master programme: Cyber Physical Systems (M-CPS). It will integrate students from engineering and computer science into a joint programme that focusses on the development of computer systems that act in the real world.
Lecture with Exercise for Bachelor AIEmbedded Systems (Eingebettete Systeme)
Lecturer: | Prof. Dr. Gregor Schiele (lecture) Christopher Ringhofer (exercise) |
Language: | German |
Turnus: | Winter semester |
Time: | Thu 10:00 - 12:00 (lecture) Tue 12:00 - 14:00 (exercise) |
Place: | LC 137 (lecture & exercise) |
Begin: | 14.10.2021 (lecture) 19.10.2021 (exercise) |
Goal of this course is the understanding of the characteristics of embedded systems, the ability to program embedded systems by using the language C.
Embedded Systems are tiny computer systems, that have a specific application area. They can be part of a more complex system (cars, household appliance) or autonomous (mobile phones, measuring equipment). The lecture will discuss the characteristics of embedded systems. The focus will be on the problems, a software developer can encounter when programming for embedded systems. The content of the lecture will be: The basic architecture of embedded systems - memory types - Input/Output (bus systems) - interupts - timer - analog/digital and digital/analog converts - device drivers
Project for BAI, MAI, M-CPS and Master ISE Computer EngineeringDeveloping and Deploying a Sensor Network for Smart Buildings
Lecturer: | Prof. Dr. Gregor Schiele |
Language: | German/English |
Turnus: | Winter semester |
Time: | Tue 14:00 - 16:00 |
Place: | BC 303 |
Begin: | 19.10.2021 |
Based on the department's elastic AI ecosystem students are developing and deploying a sensor network for a smart building. The sensors shall collect real world data. That data can be either stored in a streaming database or processed in various ways. This explicitly includes machine learning algorithms running in the Cloud, Edge or Embedded devices. The solution will be evaluated using monitoring solutions. Hard- and software solutions will be partially reused from previous projects and partially developed by the current project. Throughout the project students will work in an agile manner to iteratively develop their solutions.
Requirements:
- embedded C programming (e.g. from the embedded systems lecture)
- Java
- the Gradle build tool
- Apache Jena and Linked Data
- Python
- Machine Learning
- Soldering and Hardware Assembly
- Databases
- the Spring Boot Framework
Organisation:
The kickoff meeting for this project will be on the 19. Oct. 2021 at 14:00-16:00 in Room BC 303. Attendance in the kickoff meeting is mandatory for participation in this project.
This project is limited to Bachelor/Master Angewandte Informatik, Master Cyber Physical Systems and Master ISE Computer Engineering.
Lecture with exercise for Master AI & CPSSoftware Craftmanship
Lecturer: | Prof. Dr. Gregor Schiele (lecture) Lukas Einhaus (exercise) |
Language: | German |
Turnus: | Winter semester |
Zeit: | Mon 14:00 - 16:00 (lecture) Mon 16:00 - 18:00 (exercise) |
Place: | BC 303 (lecture & exercise) |
Begin: | 11.10.2021 |
Lab / PraktikumCyber Physical Systems
Lecturer: | Prof. Dr. Gregor Schiele |
Language: | German |
Turnus: | Summer semester |
Time: | Friday, TBA |
Place: | TBA |
Begin: | 15.10.2021 |
This lab is offered exclusively for students in the new Master-level study programme Cyber Physical Systems in cooperation with the groups of Prof. Weis and Prof. Pauli.