The goal is gaining hands-on experience on Artificial Intelligence/Machine Learning methods and algorithms in the context of a semester-long team project.
The projects fall into two categories:
A list of projects to select from will be provided in the first meeting.
10
The project is strongly recommended for Master's students. You should have successfully participated in some machine learning/deep learning/artificial intelligence or similar class. Since the course focuses on practical skills, strong programming skills are required.
The seminar consists of a few class-wide meetings and other group-mentor meetings.
The class-wide meetings are planned as in-person events, subject to FUB regulations regarding the Coranavirus pandemic.
The group-mentor meetings need to be arranged with the mentor.
Course No | Course Type | Hours |
---|---|---|
19332012 | Projektseminar | 2 |
Time Span | 21.04.2022 - 21.07.2022 |
---|---|
Instructors |
Eirini Ntoutsi
|
0086c_k150 | 2014, BSc Informatik (Mono), 150 LPs |
0086d_k135 | 2014, BSc Informatik (Mono), 135 LPs |
0087d_k90 | 2015, BSc Informatik (Kombi), 90 LPs |
0088d_m60 | 2015, MSc Informatik (Kombi), 60 LPs |
0089b_MA120 | 2008, MSc Informatik (Mono), 120 LPs |
0089c_MA120 | 2014, MSc Informatik (Mono), 120 LPs |
0159c_m30 | 2014, ABV Informatik, 30 LPs |
0207b_m37 | 2015, MSc Informatik (Lehramt), 37 LPs |
0208b_m42 | 2015, MSc Informatik (Lehramt), 42 LPs |
0458a_m37 | 2015, MSc Informatik (Lehramt), 37 LPs |
0471a_m42 | 2015, MSc Informatik (Lehramt), 42 LPs |
0511a_m72 | 2016, MSc Informatik (Lehramt), 72 LPs |
0511b_m72 | 2019, M-Ed Fach 2 Informatik (Lehramt an Gymnasien - Quereinstieg), 72 LP |
0556a_m37 | 2018, M-Ed Fach 1 Informatik (Lehramt an Integrierten Sekundarschulen und Gymnasien), 37 LPs |
0557a_m42 | 2018, M-Ed Fach 2 Informatik (Lehramt an Integrierten Sekundarschulen und Gymnasien), 42 LPs |
Day | Time | Location | Details |
---|---|---|---|
Thursday | 14-16 | T9/051 Seminarraum | 2022-04-21 - 2022-07-21 |