International Week

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. Please contact your instructors in other courses in the semester, especially in the courses of your specialization, if you are taking an International Week course. In summer term 2021, all other courses will not be suspended but only as needed

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:

Advanced Web Applications

Web Development tools

  • Visual

Server Side Programming

  •, VB.NET
  • MVC based web application development

Data access over the Web

  • SQL Server and XML
  • Web Services

The 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

Future perspectives

  • 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

Introduction in Machine Learning

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.

Introduction to Motion Tracking and Gesture Recognition

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
  • Sports

We will look at selected methods of gesture modeling and pattern recognition, for example:

  • Particle Filters
  • Gaussian Mixed Models
  • Hidden Markov Models
  • Neural Networks

Online Marketing Management


  • Basics of Online Marketing Planning
  • Online marketing target settings (Key performance indicators)
  • Online marketing budgeting
  • Online marketing target group segmentation
  • Basics of Social Media Marketing
  • Basics of Online marketing analytics and metrics

Learning outcomes

  • Understand what is online marketing management for business in an international level.
  • Be able to analyse how companies use online marketing
  • Understand basics of budgeting online marketing
  • Can apply target groups segmentation especially with Facebook and Google Ads tools
  • Understand how Social Media Marketing works (Paid, owned earned)
  • Understand and can apply online marketing analytics and metrics settings (especially Google Analytics)

International E-Commerce - Strategies for Marketing and Sales in Russia and Asia


The course provides knowledge about international e-commerce, focused into the sales of goods from EU to outside EU. Market areas studied in the course are Russia, India, China and Japan. E-commerce strategies, ecosystems, channels and platforms of market areas are studied as well as cultural characteristics and consumer behaviour. Course material bases on real life e-commerce business cases. Logistic issues such as delivery, customs, warehousing are studied as well as payment methods and payment gateways.

Learning outcomes

  • Students will learn the principles and strategies of international, cross-border (from EU to outside EU) e-commerce: value chains, customs, delivery, payment methods
  • Students will understand characteristics, culture, consumer behaviour of e-commerce in the markets of Russia, India, China and Japan
  • The most central online ecosystems, marketing channels and e-commerce platforms of market areas Russia, India, China and Japan are studied

Impressions from the International Week 2019

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Prof. Dr. Peter Braun and the support team during the welcome event
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Prof. Dr. Peter Braun and the support team during the welcome event
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Video message from the FHWS President, Prof. Dr. Grebner, during the welcome event
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Group picture of all guest lecturers in 2019
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Students and a guest lecturer during a course session
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Guest lecturer Mika Tonder with course participants
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Guest lecturer Lixin Liang with course participants
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Guest lecturer Dana Simian during her course
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Guest lecturer Marcel Kyas during his course
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Guest lecturer Dharam Shadija during his course
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Guest SK lyer during his course
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Guest lecturer Dana Simian with course participants

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.