SGN-44006 Artificial Intelligence, 5 cr


Suitable for postgraduate studies.


Tapio Elomaa


Toteutuskerta Periodi Vastuuhenkilö Suoritusvaatimukset
SGN-44006 2019-01 3 Tapio Elomaa
Accepted exercises and final exam


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 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.


Numerical evaluation scale (0-5)


Completion parts must belong to the same implementation


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   


Opintojakso P/S Selite
SGN-13006 Introduction to Pattern Recognition and Machine Learning Mandatory    


Opintojakso ei vastaan mitään toista opintojaksoa

Päivittäjä: Kunnari Jaana, 05.03.2019