Digital Winter Term 20/21

This Winter, the International Program courses are open to all our regular students and students from our Partner Universities who where not allowed to travel to Germany. All courses will be organised online.

 

IP 301 Introduction to Machine Learning (2 ECTS)

In this class, you will learn the theoretical underpinnings of Machine Learning and gain the practical know-how needed to quickly and powerfully apply these techniques to new problems.
This course provides a broad introduction to machine learning: (i) Supervised learning (ii) Unsupervised learning (iii) Best practices in machine learning.

Lecturer: T. Weller

Course description

Level: Bachelor

Workload: in total 60h, 30 h course attendance online, 30 h self study

Max. participants: 30

Schedule:

Wednesdays, 9.50 a.m. - 11.20 a.m. (start: 07 October 2020; no lectures on 23.12. / 30.12. / 06.01.)

 

IP 302 Machine Learning in Python ( 2 ECTS)

You will learn the fundamentals of Python Programming and gain the practical know-how for applying Machie Learning in Python to solve problems in diverse areas.

This course provides a broad introduction to Machine Learning in Python:

(i) Fundamentals of Python programming (ii) Applied Machine Learning (iii) Information Visualization

Prior knowledge of Python programming can be helpful, but is not necessary.

Lecturer: T. Weller

Course description

Level: Bachelor

Workload: in total 60h, 30 h course attendance online, 30 h self study

Max. participants: 30

Schedule:

Wednesdays, 11.30 a.m. - 1.00 p.m. (start: 07 October 2020; no lectures on 23.12. / 30.12. / 06.01.)

 

IP 423 Reliability Engineering – Compact   (3 ECTS)

The course provides an introduction to the theoretical and practical aspects of reliability engineering using the example of availability and safety analysis of power plant digital control systems (DCS). The main point of the module is "balance between safety and process related functions" and their influence on the economic effectiveness of the plant.

Lecturer: Dr. A. Konnov

Course description

Level: Bachelor

Workload: in total 90h, 50 h course attendance online, 40 h self study

Max. participants: 20

Schedule:

Mon    19 October 2020      5.00 p.m. - 8.15 p.m.
Tue     20 October 2020      5.00 p.m. - 8.15 p.m.
Wed    21 October 2020      5.00 p.m. - 8.15 p.m.
Thu     22 October 2020      5.00 p.m. - 8.15 p.m.
Fri       23 October 2020       5.00 p.m. - 8.15 p.m.
Sat      24 October 2020      9.00 a.m. - 2.00 p.m.
Mon    26 October 2020      5.00 p.m. - 8.15 p.m.
Tue      27 October 2020      5.00 p.m. - 8.15 p.m.
Wed    28 October 2020      5.00 p.m. - 8.15 p.m.
Thu     29 October 2020       5.00 p.m. - 8.15 p.m.
Fri       30 October 2020       5.00 p.m. - 7.30 p.m. (exam)

 

IP 408 Digital Failure Diagnosis (2 ECTS)

The course introduces main principles of failure detection, localization and correction in communication channels as well as in electrical circuits. The reasons of information encoding (do not mismatch with information encryption) as well as the basics of self-corrective codes are given in the first part of the course. The second part focuses on the typical failures in digital circuits and definition of the minimal and necessary tests for failure detection and localization. In addition, the easily testable circuits like Programmable Logic Arrays (PLA) will be considered. Previous participation in IP 423 Reliability Engineering – Compact is obligatory.

Lecturer: Dr. A. Konnov

Course description

Level: Bachelor

Workload: in total 60h, 30 h course attendance online, 30 h self study

Max. participants: 20

Schedule:

Mon    02 November 2020      5.00 p.m. - 8.15 p.m.
Tue      03 November 2020      5.00 p.m. - 8.15 p.m.
Wed    04 November 2020      5.00 p.m. - 8.15 p.m.
Thu     05 November 2020       5.00 p.m. - 8.15 p.m.
Fri        06 November 2020      5.00 p.m. - 8.15 p.m.
Mon    09 November 2020      5.00 p.m. - 8.15 p.m..
Tue      10 November 2020      5.00 p.m. - 8.15 p.m.
Wed    11 November 2020       5.00 p.m. - 6.30 p.m. (exam)

 

IP 422 VR Lab - Virtual Reality for Industrial Application (3 ECTS)

This course introduces the essentials of Virtual Reality. The focus is on the necessary tools for VR development, such as Unity, Git and Blender. The goal is to create a simple virtual reality application for a windows-based system with a 6DoF headset.

Participation in IP 423 "Reliability Engineering - Compact" is mandatory!

Course description

Lecturer: Dr. A. Konnov

Level: Bachelor

Workload: in total 90h, 45 h course attendance online, 45 h self study

Max. participants: 15

Schedule:

Sat      14 November 2020      9.00 a.m. - 2.00 p.m.
Mon    16 November 2020      5.00 p.m. - 8.15 p.m.
Tue      17 November 2020      5.00 p.m. - 8.15 p.m.
Wed    18 November 2020      5.00 p.m. - 8.15 p.m.
Thu      19 November 2020     5.00 p.m. - 8.15 p.m.
Fri        20 November 2020     5.00 p.m. - 8.15 p.m.
Mon    23 November 2020      5.00 p.m. - 8.15 p.m.
Tue      24 November 2020      5.00 p.m. - 8.15 p.m.
Wed     25 November 2020     5.00 p.m. - 8.15 p.m.
Thu      26 November 2020     5.00 p.m. - 8.15 p.m.
Fri         27 November 2020     5.00 p.m. - 7.30 p.m. (exam)

 

IP 420 Renewable Energy (2 ECTS)

This course provides an overview of producing electricity from green energy like wind, sun, water, biomass, and geothermal heat. Further aspects are economic and environmental considerations, fundamentals of energy economics and the storage of energy.

Lecturer: Prof. G. Schultz

Course description

Level: Bachelor

Workload: in total 60h, 30 h course attendance online, 30 h self study

Max. participants: 25

Kick-off Meeting (online): Tuesday, 13 October 2020 (2.00 p.m. - 3.30 p.m.)

The further schedule will be discussed together with the participants during the kick-off meeting.

 

IP 409 Renewable Energy Storage (2 ECTS)

Do you want to learn how storage of renewable energy works and why it will become more and more important in future?
The course gives an overview of different possibilities to store renewable energy. The energy storage technologies range from pumped hydro storage over flywheels to batteries, supercaps or hydrogen storage. You should bring a technical background for this course, have energy basic knowledge and interest in renewable energy and energy storage.
The course is a mixture of theory, technical and economical calculations, homework exercises and some group work activities. 

Lecturer: Prof. K. Pinkwart

Course description

Level: Bachelor

Workload: in total 60h, 30 h course attendance online, 30 h self study

Max. participants: 25

Schedule:

Fridays, 8.00 a.m. - 11.20 a.m. (start: 09.10.2020)


IP 414 Energy Storage Lab (2 ECTS)

By attending this module, students are taught the effects of the increasing share of renewable energy systems on the electricity grids. Selected laboratory tests on the two topics electrochemical energy storage (batteries) and conversion (fuel cells) are offered. The experiments give an insight into the specific behavior of the technologies. “U-I” characteristics are recorded which determine the storage capacities and energy contents of the technologies. The aim is to compare and understand the advantages and disadvantages of energy conversion and energy storage.

Please note: The laboratory can only be taken in combination with the lecture Renewable Energy Storage (IP 409, 2 ECTS)!

Lecturer: Prof. K. Pinkwart

Course description

Level: Bachelor

Workload: in total 60h, 30 h course attendance online, 30 h self study

Max. participants: 16

Schedule:

Fridays, 11.30 a.m. - 1.00 p.m. (start: 09 October 2020)

 

 

 

Contact

Center of Competence
International Program
Miriam Heinrich
Individual consultation
Mon - Thur 9 a.m. - 12 p.m.
Tue + Thur 1 p.m. - 3 p.m.

F 313
Moltkestr. 30, 76133 Karlsruhe
Phone +49(0)721 925-2506
Fax +49(0)721 925-2530
Email internationalprogramspam prevention@hs-karlsruhe.de

Approach plan