| Detailinformationen |
| Quellcurriculum |
Bachelorstudium Artificial Intelligence 2019W |
| Ziele |
(*)Students learn algorithmic thinking. They are able to apply the topics presented in the lecture in practice by designing and implementing algorithms in Python.
|
| Lehrinhalte |
(*)Topics are:
- Complexity
- Lists/Stacks/Queues
- Recursion
- Backtracking
- Trees
- Heaps, Priority Queue
- Sorting
- Digital Sorting
- Strings and Patterns
- Random Numbers
- Randomized Algorithms
|
| Beurteilungskriterien |
(*)Assessment of weekly assignments.
|
| Lehrmethoden |
(*)The content of the lecture is deepened by weekly assignments.
|
| Abhaltungssprache |
Englisch |
| Literatur |
(*)All material will be available in the course section in Moodle.
Additional literature will be announced in the course.
|
| Lehrinhalte wechselnd? |
Nein |
| Sonstige Informationen |
(*)https://www.pervasive.jku.at/Teaching
|
