Artificial Intelligence for Academia

Traget group: PhD candidates and postdocs, qualifying professors
Language: German
Duration of the program: 6 month

Program Overview

Artificial intelligence (AI) has the potential to make scientific research, university teaching and university management faster, easier and more flexibly. New possibilities loom, such as the analysis of big data, the use of chatbots for individualized teaching and learning or the optimization of entire study programs. These are application examples for three forms of AI: Generative AI, machine learning and symbolic-logical AI.

The AI program aims to strengthen the development of AI skills. The program format is aimed to develop a technically sound and critical understanding of fundamental AI principles in order to recognize potentials and limitations, to understand the moral and social implications and to use AI efficiently and independently. The program will address and teach computer science fundamentals, statistics, logic and algorithms. As a result, you will have a comprehensive basic understanding of artificial intelligence in order to understand the basics of AI output, make informed decisions about its use and your own further qualification and act as a multiplier in your own working group and in your course teaching.

Program goals

• Introduction and in-depth study of machine learning, generative AI and logic-based systems
• Subject-oriented self-study units for the comprehension of basic concepts
• Practice-oriented SemaLogic self-learning platform for modeling study regulations
• Six workshops to deepen knowledge using practical examples
• Lecture program on concrete problems and application scenarios in science

In 2024 the AI program focusses on introduction and orientation. Coding experience or in-depth knowledge of statistics are not a prerequisite, but still helpful.