Project in Software Development in Image Analysis and Machine Learning
Course, Master's level, 1MD036
Autumn 2023 Autumn 2023, Uppsala, 50%, On-campus, English Only available as part of a programme
- Location
- Uppsala
- Pace of study
- 50%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 28 August 2023–14 January 2024
- Language of instruction
- English
- Entry requirements
-
120 credits including 40 credits in mathematics and 60 credits in computer science, including Statistical Machine Learning, several variable calculus, a second course in computer programming, Introduction to Image Analysis or Computer-Assisted Image Analysis I and Data Ethics and Law. Participation in Deep Machine Learning for Image Analysis. Proficiency in English equivalent to the Swedish upper secondary course English 6.
- Application deadline
- 17 April 2023
- Application code
- UU-11622
Admitted or on the waiting list?
- Registration period
- 28 July 2023–4 September 2023
- Information on registration
Autumn 2024 Autumn 2024, Uppsala, 50%, On-campus, English Only available as part of a programme
- Location
- Uppsala
- Pace of study
- 50%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 2 September 2024–19 January 2025
- Language of instruction
- English
- Entry requirements
-
120 credits including 40 credits in mathematics and 60 credits in computer science, including Statistical Machine Learning, several variable calculus, a second course in computer programming, Introduction to Image Analysis or Computer-Assisted Image Analysis I and Data Ethics and Law. Participation in Deep Machine Learning for Image Analysis. Proficiency in English equivalent to the Swedish upper secondary course English 6.
- Application deadline
- 15 April 2024
- Application code
- UU-11622
Admitted or on the waiting list?
- Registration period
- 26 July 2024–9 September 2024
- Information on registration
About the course
The course consists of group work on a project from outside academia or research, as well as a number of lectures on topics related to the development of software products. Examples of topics for such lectures are a framework for software development (for example, agile methods such as Scrum), project and time planning, IP and licensing issues, business plan and market analysis, quality systems, rules and regulations, oral and written presentation, and ethics.
The lectures are intertwined with the introduction of the projects, problem analysis and planning. The scope of the projects is suitable for groups of approximately six students. After the introductory phase, the students complete the projects, and at the end of the course, this is presented to the course participants and external project owners.
Ethical considerations are integrated into the projects, with the goal that you should develop the ability to participate constructively in dialogue on ethical issues and motivate your choices. At a project level, we can imagine multidisciplinary teams in collaboration with other programs, which in a suitable way combine skills.
Reading list
No reading list found.