| Detailed information |
| Original study plan |
Bachelor's programme Computer Science 2025W |
| Learning Outcomes |
Competences |
| See lecture series (Vorlesung) by the same name.
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| Skills |
Knowledge |
| See lecture series (Vorlesung) by the same name.
|
See lecture series (Vorlesung) by the same name.
|
|
| Criteria for evaluation |
Points acquired through correct answers to written questions, correct implementations of simple algorithms, and optionally through challenge participation.
|
| Methods |
The class is taught through recurring meetings, where students receive feedback on their solutions, and detailed explanations, if required. Students solve regularly assigned exercises (about biweekly), and may optionally form teams and participate in an AI game bot competition.
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| Language |
English |
| Study material |
(not required) Russell, S.J. and Norvig, P. (2020). Artificial Intelligence: A Modern Approach (4th Edition). Pearson, 2020. ISBN 978-0134610993.
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| Changing subject? |
No |
| Further information |
The exercise course (UE) and the corresponding lecture series (VL) form a didactic unit. The study results described here are achieved through the combination of these two courses.
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| Corresponding lecture |
(*)ist gemeinsam mit INBIPUEAINT: VO Artificial Intelligence (3 ECTS)
äquivalent zu
INMWAKVKINT: KV Künstliche Intelligenz (3 ECTS)
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