Digital Winter Term 20/21

This course program will be organised fully online so that students will be able to visit the courses while staying in their home countries. The schedule of the courses will be decided later as we need to know in what time zone students are living who registered for the courses.

 

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

 

IP 302 Machine Learning in Pyton ( 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

 

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

 

IP 208 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 402 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

 

IP 422 VR Lab - Virtual Reality for Industrial Application (2 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 60h, 30 h course attendance online, 30 h self study

Max. participants: 15

 

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

 

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


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

 

S 9147 Design Thinking ( 2 ECTS)

In this class, thinking and acting in an entrepreneurial manner is imparted with the MIT action learning approach and the creative method Design Thinking. The course is designed to introduce students with entrepreneurial ambitions to the tools they need to understand and evaluate the needs of potential customers in order to design user centric products and services.

Lecturer: A. Tittel

Course description

Level: Bachelor

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

Max. participants: 25

 

S 9908 International Project Management (2 ECTS)

Based on the IPMA-Standards, this course offers you an overview of the most relevant project management methods and tools, supplemented by exercises and group work to reflect on and develop your individual competencies.

Lecturer: t.b.c.

Course description

Level: Bachelor

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

Max. participants: 20

 

Contact

Center of Competence
International Program
Cordelia Makartsev
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