Summer Semester 2024
Data Science in Practice (Bachelor)
Link to course: DS in Practice
Conversational AI — Technical Fundamentals und Business Applications (Bachelor)
One of the, arguably, most interesting Natural Language Processing applications to-date is Conversational Artificial Intelligence (AI): it enables users to interact with an AI system in the way they would with other humans – through natural language dialogs. For businesses, this advanced technology offers a plethora of possibilities. In this course, we will thus discuss the technical fundamentals underpinning Conversational AI systems (e.g., machine learning) and afterwards, explore some of the most popular use cases (e.g., customer service chatbots).
Link to course: Conversational AI
Ethics and Modern AI (Master)
In this master course, we will look at the intersection of modern AI and ethical considerations: in particular, we will start by laying out the theoretical fundamentals of both, ethics and machine-learning based AI. Next, we will discuss ethical issues of modern AI using the example of text processing. In particular, we will discuss fairness, inclusion, privacy, and environmental sustainability issues, as well as topics around the issue of dual use. For each issue, we will (a) discuss the technical origin of the issue, (b) the nature of its (negative) impact, and (c) how to mitigate those issues. Finally, we will look at the other side of the coin: applications of modern AI for social good.
Link to course: Ethics and Modern AI
Winter Semester 2023/24
Introduction to Data Science (Bachelor)
In the digital age, the computational processing and analysis of data becomes more and more important. This course provides a general overview of theoretical concepts and methods relating to modern data pre-processing and analysis.
Link to course: Introduction to Data Science
Text Analysis for Interdisciplinary Research (Master)
In the digital age, techniques to automatically process textual content have become ubiquitous. The course „Text Analytics for Interdisciplinary Research“ introduces basic concepts of natural language processing as well as best practices for automatically obtaining knowledge from large collections of texts.
Link to course: Text Analysis for Interdisciplinary Research
Recent Developments in Conversational AI (Bachelor Seminar)
In this course, we will discuss the latest developments in the area of conversational AI. More information on the seminar will be published here soon. Stay tuned.
Link to course: Recent Developments in Conversational AI