AI for Good

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EN - Please note: This page has no German version because the course is only offered in English.

Quick Info: Master | Seminar | English | Summer Semester | 6 ECTS

Summary

Course	AI for Good
Chair	Institute of AI in Management
Lecturer	Prof. Dr. Stefan Feuerriegel
Assistants	Annually changing
Weekly Hours	Coaching sessions by individual arrangement
Target Group	MMT & Master programs at the faculty of mathematics, informatics and statistics
Examination	Seminar paper and video presentation, group work
Prerequisites	Sufficient programming skills required (e.g., R, Python), such as taught in one of our previous courses (e.g., AI for Managers, Introduction to AI, etc.)
Course Material	Course material will be shared via Moodle, students are required to self-enrol to the course through Moodle, self-enrolment key can be accessed via LSF
Rotation	Annual rotation, summer semester
Language	English
ECTS	6

In this seminar, students will apply AI methods on real world data to address societal problems, such as:

Detecting, analyzing, and countering malicious content and users on social media.

Students are also welcome to suggest own ideas after prior coordination.

Participants will analyse the data and apply different AI methods to visualize and gain insights on their data.

Students are encouraged to work in teams of four. The teams will summarize all findings in a report and a presentation.

Final dates and times will be shared via Moodle.
All topics will be published on Moodle approximately one week before the semester starts.
The first session usually takes place in the first week of the semester, via Zoom.
It is important to participate in the first session, because groups will be set-up and topics will be distributed.
Coaching sessions by individual arrangement.
Submission of seminar paper and video presentation via Moodle, usually towards the end of the semester.

Literature depends on the topics.