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Artificial intelligence

Individual course

Max amount of FITech students: 30

Artificial intelligence course runs through different aspects of modern intelligent methods for data processing. Course topics include among others intelligent agents, search strategies, reinforcement learning and machine learning from observations.

This course gives the student acquirements to start designing various types of artificial intelligence based solutions for real life problems.

After passing the course, the student

  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. will be able to implement the most common search methods.

Students have a possibility to do an electronic exam using the EXAM software.

More information in University of Oulu’s WebOodi course page.

You can get a digital badge after completing this course.

AI tekoäly datankäsittely data-analyysi prosessointi koneoppiminen

Further information about the studies

University of Oulu
Riku Hietaniemi
riku.hietaniemi(at)oulu.fi

Contact person for applications

FITech
Pilvi Lempiäinen , Head of study services
pilvi.lempiainen(at)fitech.io
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Category:
ICT Studies
Topic:
AI and machine learning
Course code:
521495A
Credits:
5 ECTS
Price:
0 €
Level:
Teaching period:
11.1.–14.3.2021
Application deadline:
Application dates will be announced later
Host university:
University of Oulu
Study is open for:
Adult learner,
Degree student
Teaching methods:
Online
Language:
English
General prerequisites:
Basic programming skills are required on this course. Suggested prequisite courses are "Introduction to Artificial Intelligence" and "Elementary programming".
Study suitable for:
Students who wish to learn basics of modern methods for artificial intelligence.
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This course is included in the following theme