Each summer semester (around May or June depending on the holidays), our Faculty organises an International Week for students in bachelor’s programmes.
During that week, guest lecturers from our partner universities offer eight to ten courses as core elective modules at the same time. Courses take place from Monday to Friday from about 9:00 to 18:00. Exams for the modules take place on Friday afternoon.
The courses are mainly aimed at students from the 6th semester or higher. For this week, all other courses for the 6th semester are suspended.
Modules for the International Week 2021
The next International Week will take place from 07 June to 11 June 2021.
The offer varies from year to year and there is no entitlement to take a particular course mentioned here in the next few years. The following courses are planned for 2021:
Web Development tools
- Visual Studio.net
Server Side Programming
- ASP.net, VB.NET
- MVC based web application development
Data access over the Web
- SQL Server and XML
- Web Services
The Microsoft.net Framework
- Understanding Microsoft's .net vision
- Develop web applications using MVC
- Reviewing components of the .net framework which relate to Web application development
- Corporate implications of .net
- .net Implementation issues and performance considerations
- Anticipating future market developments/business trends in Web technology
- Evaluating potential success or failure of specific technological approaches
- The pros and cons of utilising cutting edge technology
This module introduces the core ideas and the basis techniques of machine learning. It covers theory, algorithms and applications, focusing on real understanding of the principles of inductive learning theory and of several machine learning techniques.
- Concept Learning
- Decision Tree Learning
- Bayesian Learning
- Artificial Neural Networks
- Support Vector Machines
Phyton is the programming language used in this module but prior knowledge of Python programming is not required. Students will gain all required knowledge in a step-by-step fashion, through examples.
Gesture recognition are computational methods to identify human movements. Gesture recognition is used in physiotherapy, health care, sports, and computer games. It helps in training surgeons and dancers, improve golfing skills, and is used in popular games like "Just Dance".
This module introduces the core ideas and the basic methods of motion tracking and gesture recognition. The focus of the module is on understanding the principles of gesture recognition through applications:
- Hand gesture detection
- Gait detection
We will look at selected methods of gesture modeling and pattern recognition, for example:
- Particle Filters
- Gaussian Mixed Models
- Hidden Markov Models
- Neural Networks
Marketing Management, Internet Marketing
Digital Marketing Metrics
The course provides knowledge about international ecommerce, focused into the sales of goods from EU to outside EU. Market areas studied in the course are Russia, India, China and Japan. Ecommerce strategies, ecosystems, channels and platforms of market areas are studied as well as cultural characteristics and consumer behavior. Course material bases on real life ecommerce business cases. Logistic issues such as delivery, customs, warehousing are studied as well as payment methods and payment gateways.
Impressions from the International Week 2019
In 2020, the International Week was cancelled university-wide due to the Corona Pandemic. Therefore, you can find pictures from 2019 here.
If you have any question about the International Week, please contact the Faculty’s international affairs officer, Prof. Dr. Peter Braun.