Detailed information |
Original study plan |
Bachelor's programme Computer Science 2021S |
Objectives |
This exercise track accompanies the VL "Artificial Intelligence". Students deepen their understanding of the technical contents taught in the lectures preparing them for the final exam to the VL.
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Subject |
Exercises entail answering written questions as well as implementing selected algorithms to solve toy problems with a relation to real world problems. Students may optionally participate in a friendly challenge, writing intelligent software agents that compete in a tournament, to earn extra credit.
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Criteria for evaluation |
Points acquired through correct answers, correct implementations and optionally through challenge participation.
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Methods |
The class is taught through recurring meetings with general, collected feedback. 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. (2004). Artificial Intelligence: A Modern Approach (3rd Edition). Englewood Cliffs, NJ: Prentice-Hall.
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Changing subject? |
No |
Corresponding lecture |
(*)ist gemeinsam mit INBIPUEAINT: VO Artificial Intelligence (3 ECTS) äquivalent zu INMWAKVKINT: KV Künstliche Intelligenz (3 ECTS)
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