Artificial Intelligence, 5 credits

Academic year 2023/2024

  • Autumn 2023, 33%, Campus

    Start date: 28 August 2023

    End date: 30 October 2023

    Application deadline: 17 April 2023

    Application code: UU-11010 Application

    Language of instruction: English

    Location: Uppsala

    Selection: Higher education credits in science and engineering (maximum 240 credits)

    Registration: 28 July 2023 – 4 September 2023

Entry requirements: 120 credits including 15 credits in mathematics and 20 credits in computer science, including a second course in programming. Alternatively 45 credits in the Master's Programme in Language Technology (HSP2M). Proficiency in English equivalent to the Swedish upper secondary course English 6.


If you are not a citizen of a European Union (EU) or European Economic Area (EEA) country, or Switzerland, you are required to pay application or tuition fees. Formal exchange students will be exempted from tuition fees, as well as the application fee. Read more about fees.

Application fee: SEK 900

Tuition fee, first semester: SEK 12,083

Tuition fee, total: SEK 12,083

About the course

"What is intelligence"? is a deep philosophical question. The topic of this course is more practical: how can we make computers perform tasks that - up to now - are difficult for computers? Tasks that require an "intelligent" approach, because computing power alone is not enough.

Even before the first computer was built, it was thought of as possibly intelligent. Obviously, computers would talk - a three-year-old child can talk. Playing chess, now that would be intelligent! A computer has since beaten the world Master in chess and fulfilled many other promises. This course is about the successes of artificial intelligence (AI). However, knowing how they work takes away part of the magic, or "intelligence".

Artificial intelligence requires knowledge representation and reasoning. There are many different approaches. In expert systems knowledge consists of facts and rules, clearly visible and separate from reasoning. In neural networks, knowledge is implicit and entangled in the reasoning process. The reasoning is not a straightforward computation. It is a search: making guesses, and trying different solutions. At the heart of AI is heuristic search: methods that try to make "intelligent" guesses.

Nowadays many applications contain AI, often in disguise. Google finds relevant search results. You can talk to a computer and book a railway ticket. The monsters in computer games come right at you. This diversity of applications is reflected in the topics of the course: expert systems, learning, planning, playing games like chess, and so on.

More information


Department of Information Technology

hus 10, Lägerhyddsvägen 1

Box 337, 751 05 UPPSALA


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