Teaching

For the coming spring term (FSS26) we are pleased to announce a new, exclusive class called „Foundations of AI Product Development“, focusing on practical industry applications and ethical design principles. This class will be taught by Dhara Mungra M.Sc. who is joining our team next spring. 
The primary aim of this course is to equip students with the skills to transform their project ideas into viable business products, all while maintaining a steadfast focus on the core principles of responsible computing and explainable AI. Students will collaborate with organizations in technology, policy, and government, developing projects that advance key areas like journalism, fact-checking, digital literacy, and healthcare. The program provides continuous mentoring and access to vital resources and networks, enabling participants to move beyond traditional academic boundaries and engage in real-world product development.

Prerequisites

To excel in this course, students should have a solid foundation in data science, data analysis, and machine learning algorithms.  A basic understanding of Large Language Models (LLMs) is essential. Working knowledge of advanced AI concepts like Retrieval-Augmented Generation (RAG), various prompting methods, and practical experience in developing prototypes with AI tools will be highly beneficial. 

Prior to admission, students must submit a one-page, single spaced statement of purpose.  This will share their interest in this project, summarize relevant coursework and grades, experience, and ideas.  Students can apply on one of two tracks: as software engineers or business entrepreneurs. Please state clearly which track is being selected and what academic program and degree you are currently pursuing.  Groups will integrate members from each track, integrating product development with software design and implementation.  A willingness to focus in one area but work and learn across both is essential. 

The course is open to students from Master and graduate programmes at the University of Mannheim (especially MMSDS, MMDS, MMM and CDSS) as well as students of the Mannheim Business School and it is limited to 20 participants. Classes will be held weekly during lecture time and consist of 2 sessions of 90 minutes each per week (Thursday morning + Thursday afternoon).

If you would like to register, please fill out the google form.
The deadline for applications will be 19.12.2025, selected applicants will hear back from us by mid-January.