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Artificial Intelligence 7.5 credits

About the course

This course gives an introduction to the fundamentals of Artificial Intelligence (AI) including robotics and natural language processing, exploring both the historical roots and the latest applications. You will learn how to implement and apply classical AI algorithms for knowledge representation, planning, searching, and game-playing. The course focuses on symbolic artificial intelligence with techniques based on discrete mathematics and logics. Non-symbolic approaches common in machine learning and deep learning are briefly introduced and discussed in relation to symbolic AI.

Module 1, theory, 4.5 credits. The module introduces classical AI. It covers some historical background, fundamental problems, and modern-day applications. The course discusses problems such as the frame problem, the Turing test, the Chinese room argument, and various problem-solving techniques, including heuristic search algorithms and AI in games.

Additionally, the module addresses AI paradigms such as knowledge representation, logic programming, and robotics with an emphasis on sensors and actuators. It covers different agent paradigms, classical planning methods, and machine learning algorithms such as k-NN and deep learning.

The module also explores natural language processing (NLP), Large Language Models (LLMs), and Explainable AI. Ethical considerations and responsible AI use are emphasized, addressing biases and ensuring transparency and accountability.

Module 2, practice, 3 credits. In this module, some of the theories, methods, and concepts treated in the theory module are put into practice.

 

Apply

  • Autumn 2025

    • Artificial Intelligence

      Autumn 2025 / Umeå / English / On site

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      Starts

      1 September 2025

      Ends

      2 November 2025

      Number of credits

      7.5 credits

      Type of studies

      On site

      Study pace

      50%

      Teaching hours

      Daytime

      Study location

      Umeå

      Language

      English

      Application code

      UMU-57230


      Eligibility At least 60 ECTS within Computing Science. At least 15 ECTS programming; 7.5 ECTS data structures and algorithms; 7.5 ECTS discrete mathematics; and 7.5 ECTS logics. Students enrolled on the master's program in artificial intelligence (TAAIM) are eligible.
      Selection

      Academic credits

      Application

      Application deadline was 15 April 2025. The application period is closed.


      Application and tuition fees

      As a citizen of a country outside the European Union (EU), the European Economic Area (EEA) or Switzerland, you are required to pay application and tuition fees for studies at Umeå University.

      Application fee: SEK 900

      Tuition fee, first instalment: SEK 19,038

      Total fee: SEK 19,038

      Details about tuition, fees and funding

       

How to apply

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Late applications 
Admissions to most programmes and courses typically close after the final application deadline. However, some programmes and courses may still accept late applications if seats are available. These are marked “Open for late application” on universityadmissions.se. Please note that late applications are not guaranteed to be reviewed. 
 
More about application and admission 

Explore your future at Umeå University

Join a vibrant academic community where high-quality education meets groundbreaking research in science, technology, humanities, and the arts. At Umeå University, you will learn from passionate, expert teachers and benefit from a close connection between research, education, collaboration, and innovation.

Questions about the course?

Please be aware that the University is a public authority and that what you write here can be included in an official document. Therefore, be careful if you are writing about sensitive or personal matters in this contact form. If you have such an enquiry, please call us instead. All data will be treated in accordance with the General Data Protection Regulation.

Please be aware that the University is a public authority and that what you write here can be included in an official document. Therefore, be careful if you are writing about sensitive or personal matters in this contact form. If you have such an enquiry, please call us instead. All data will be treated in accordance with the General Data Protection Regulation.


Course is given by
Computing Science
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