SGN-44006 Artificial Intelligence, 5 cr
Lisätiedot
Suitable for postgraduate studies.
Vastuuhenkilö
Tapio Elomaa
Opetus
| Toteutuskerta | Periodi | Vastuuhenkilö | Suoritusvaatimukset |
| SGN-44006 2018-01 | 4 |
Tapio Elomaa |
Osaamistavoitteet
After completing the course the student will have an overview of different areas and techniques of artificial intelligence. In particular, the student is able to apply to problems arising in application fields the basic methods of solving problems by searching, informed search and exploration, inference in first-order logic, probabilistic reasoning, and reinforcement learning. Hands-on experience on artificial intelligence tools and techniques will be gathered in the weekly exercise sessions.
Sisältö
| Sisältö | Ydinsisältö | Täydentävä tietämys | Erityistietämys |
| 1. | Logic, knowledge, and reasoning | propositional and first-order logic | knowledge bases |
| 2. | Problem solving and search | heuristic search | algorithm A* |
| 3. | Uncertain knowledge and reasoning | probabilistic reasoning | decision making |
| 4. | Machine learning | reinforcement learning | applications of reinforcement learning |
Ohjeita opiskelijalle osaamisen tasojen saavuttamiseksi
The course grade will be based on the course exam and weekly exercises. If the student demonstrates thorough understanding of the core content, s/he may pass the course with grade 3. In order to achieve grade 4, the student must also demonstrate competency in complementary knowledge. The student may achieve grade 5, if s/he also demonstrates good command of specialist knowledge. If there are minor shortcomings regarding the core content, the student may receive the grade 1 or 2, depending on the number of flaws. If there are significant shortcomings regarding core content, the student will not pass the course.
Arvosteluasteikko:
Numerical evaluation scale (0-5)
Osasuoritukset:
Oppimateriaali
| Tyyppi | Nimi | Tekijä | ISBN | URL | Lisätiedot | Tenttimateriaali |
| Book | Artificial Intelligence A Modern Approach | Stuart J. Russell and Peter Norvig | 978-0-13-604259-4 | Main part of the lectures follows this extensive text book. | Yes |
Esitietovaatimukset
| Opintojakso | P/S | Selite |
| SGN-13006 Introduction to Pattern Recognition and Machine Learning | Mandatory |
Vastaavuudet
Opintojakso ei vastaan mitään toista opintojaksoa