Computer-Assisted Image Analysis I, 5 credits

Academic year 2023/2024

  • Autumn 2023, 33%, Campus

    Start date: 31 October 2023

    End date: 14 January 2024

    Application deadline: 17 April 2023

    Application code: UU-12030 Application

    Language of instruction: English

    Location: Uppsala

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

    Registration: 17 October 2023 – 7 November 2023

Entry requirements: 120 credits including 30 credits in mathematics and 10 credits in computer science, including Scientific Computing I/Introduction to Scientific Computing and Computer Programming I, 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

Have you worked with photos, using photo digital software? You might have improved the focus of a blurry photo. If that is the case, you have worked with digital image analysis. In digital image analysis, we deal with the problem of automatically transforming images into information and, in at its best, into knowledge. There are many applications, e.g. in forestry and agriculture, environmental supervision, astronomy, medicine and industrial quality control. The image can come from a microscope, a computer tomograph, a TV camera, a satellite or a telescope. The size of the image can range from a few micrometres to light-years. The aim can be analysis made by the human eye or a computerised analysis.

Through the use of computers and mathematical transformations, the image can be improved to make a visual interpretation easier. Data such as size, texture and number can be found in the image. The data can be processed statistically leading to an interpretation and a decision.

More information


Department of Information Technology

hus 10, Lägerhyddsvägen 1

Box 337, 751 05 UPPSALA


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