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521495A Artificial Intelligence, 5 ECTS cr 
Code 521495A  Validity 01.08.2012 -
Name Artificial Intelligence  Abbreviation Artificial Inte 
Scope5 ECTS cr   
Type Intermediate Studies Discipline4307 Information Engineering 
  Grading1 - 5, pass, fail 
Unit Computer Science and Engineering DP 

Pekka Sangi 
Jaakko Suutala 

ECTS Credits 

5 ECTS cr

Language of instruction 



Period 3.

Learning outcomes 

1. is able to identify the types of problems that can be solved using methods of artificial intelligence.

2. knows the basic concepts of intelligent agents, the common search methods used in artificial intelligence, logic based reasoning and applying planning techniques to problems of artificial intelligence.

3. can also apply simple methods to reasoning under uncertainty and machine learning from observation.

4. In addition the student will be able to implement the most common search methods.


1) Introduction, 2) Rational (Intelligent) Agents and Uninformed Search, 3) Informed Search, 4) Programming Project 1 (Pacman 1), 5) Adversarial Search (Games), 6) Programming Project 2 (Pacman 2), 7) Uncertainty and Utilities,  8) Markov Decision Processes, 9) Reinforcement Learning, 10) Bayesian Networks, 11) Machine Learning (learning from Observation), 12) Advanced Applications, 13) Conclusions

Mode of delivery 

Face-to-face teaching.

Learning activities and teaching methods 

28 hours of lectures and a programming exercise (approximately 25 hours) during period 3, the rest as independent work.

Target group 

Computer Science and Engineering students and other Students of the University of Oulu.

Prerequisites and co-requisites 

Programming skills.

Recommended optional programme components 

The course is an independent entity and does not require additional studies carried out at the same time.

Recommended or required reading 

The course material is based on the Artificial Intelligence course of Berkely University and the book "Artificial Intelligence, A Modern Approach" by Russell & Norvig.

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2) Russell S., Norvig P.: Artificial Intelligence, A Modern Approach, Second Edition, Prentice Hall, 2003.

Assessment methods and criteria 

The course is passed with a final exam and a passed programming exercise.

Read more about assessment criteria at the University of Oulu webpage.


1-5 / fail.

Person responsible 

Pekka Sangi and Jaakko Suutala (lecturer)
Mohammad Tavakolian (assistant)

Working life cooperation 


Other information 



Current and future instruction
Functions Name Type ECTS cr Teacher Schedule
registration period has ended Artificial Intelligence  Course  Pekka Sangi,
Jaakko Suutala 
08.01.20 -20.02.20

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