| Detailed information |
| Original study plan |
Bachelor's programme Computer Science 2021S |
| Objectives |
Students are able to apply the topics presented in the lecture in practice by designing and implementing algorithms in Java (LVA 340.31x, Computer Science) or Python (LVA 340.32x, Artificial Intelligence).
|
| Subject |
Topics are:
- Randomized Algorithms
- Search Trees
- Hashing
- Distributed Hashing
- Graphs
- Social Graphs
- Power Law/Epidemic Spread
- Evolutionary Algorithms
- Document Graphs
- PRAM Algorithms
|
| Criteria for evaluation |
The content of the lecture is deepened by weekly assignments.
|
| Methods |
The content of the lecture is deepened by weekly assignments.
|
| Language |
English and French |
| Study material |
All material will be available in the course section in Moodle.
Additional literature will be announced in the course.
|
| Changing subject? |
No |
| Further information |
https://www.jku.at/institut-fuer-pervasive-computing/
|
| Corresponding lecture |
(*)INBPDUEALG2: UE Algorithmen und Datenstrukturen 2 (1,5 ECTS)
|
