| Detailinformationen |
| Quellcurriculum |
Bachelorstudium Artificial Intelligence 2021W |
| Ziele |
(*)Students are able to think algorithmically. They know the basic static and dynamic data structures, the most important sorting and search algorithms, and the concepts of recursion and random numbers. Furthermore, they are able to analyze the complexity of algorithms with respect to runtime and memory requirements.
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| Lehrinhalte |
(*)Programming language is Python.
- Complexity
- Lists/Stacks/Queues
- Recursion
- Backtracking
- Trees
- Heaps and PQ
- Sorting
- Digital Sorting
- Strings and Patterns
- Random Numbers
• Randomised Algorithms
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| Beurteilungskriterien |
(*)Exam at the end of term
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| Lehrmethoden |
(*)Slide-based presentation
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| Abhaltungssprache |
Englisch |
| Literatur |
(*)Slides will be available in the course section in moodle.
Additional literature will be announced in the course.
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| Lehrinhalte wechselnd? |
Nein |
| Sonstige Informationen |
(*)https://www.pervasive.jku.at/Teaching
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