AI for Good

In this seminar, students will apply AI methods on real world data to solve societal problems. 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. Topics are selected with a focus on having a positive impact on society. Students will summarize all findings in a report and a presentation.

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

Summary

CourseAI for Good
ChairInstitute of AI in Management
Lecturer Prof. Dr. Stefan Feuerriegel
AssistantsAnnually changing
Weekly HoursCoaching sessions by individual arrangement
Target GroupMMT & Master programs at the faculty of mathematics, informatics and statistics
ExaminationSeminar paper and video presentation, group work
PrerequisitesSufficient 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 MaterialCourse 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
RotationAnnual rotation, summer semester
LanguageEnglish
ECTS6

Description

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.
  • Digital healthcare
  • The UN’s sustainable development goals
  • Etc.

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.

Outline

  • 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

Literature depends on the topics.