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University of Gothenburg
Advanced Software Engineering for AI/ML-Enabled Systems
The course will comprise a number of themes with respect to Software engineering of AI/ML-Enabled Systems: Processes, Engineering Practices, and Interdisciplinary Teams<br> Requirements Engineering<br> Architectures<br> Verification and Testing<br> Analysis of Failure Cases and Debugging<br> Fairness, Bias, and Eth…
- Higher education
- Information unavailable
- 24 March 2025
- Information unavailable
- Information unavailable
- 50 %
Overview
The course will comprise a number of themes with respect to Software engineering of AI/ML-Enabled Systems: Processes, Engineering Practices, and Interdisciplinary Teams<br> Requirements Engineering<br> Architectures<br> Verification and Testing<br> Analysis of Failure Cases and Debugging<br> Fairness, Bias, and Ethics<br> User Management and Explaining AI Decisions
Admission scores
Entry requirements
To be eligible for the course, the student should have a bachelor ́s degree in Software Engineering, Computer Science, Computer Engineering, Information Technology, Information Systems, or equivalent. In addition, the student should have completed courses in: - Programming (e.g. DIT042 Object-oriented Programming, DIT012 Imperative Programming with Basic Object-orientation, DIT143 Functional Programming or equivalent) - A basic course in machine learning (e.g. DIT406 Introduction to data science and AI, DIT821 Software Engineering for AI Systems, DIT824 Software Engineering for Data-Intensive AI Applications, or equivalent) - A general Software Engineering course (e.g. DIT593 Software engineering principles for complex systems or equivalent) or 6 credits in one or more of the following areas of Software Engineering: Software processes and agile development, Software architecture, Software Quality Assurance or Testing, Requirements Engineering (e.g. DIT257, DIT347, DIT193, DIT344, DIT291, DIT083, DIT843, DIT046, DIT285 or equivalent). Applicants must prove knowledge of English: English 6/English B or the equivalent level of an internationally recognized test, for example TOEFL, IELTS.
The text is reproduced from the Susa source. Antagningsdata does not map GY11 and GY25 or assess personal eligibility.
Source, measure and data quality
- Source
- Skolverket Susa-navet
- Period
- 2025-03-24
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.gu.dit978.86088.20251
- Last checked
- 2026-09-23T10:36:42.164498+00:00
- Limitation
- Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.
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About the provider
Sources and data quality
Education facts for the selected offering come from Skolverket Susa-navet.
Retrieved . Published . Times are shown in Swedish local time.
Source identity and publication version
- Publication version
- 8e217193-f5fa-4778-b085-a4521fd03e8d
- Education identity in the source
- i.uoh.gu.dit978.86088.20251
- Offering identity in the source
- e.uoh.gu.dit978.86088.20251
- Education-form source code
- HS
- Education code in the source
- DIT978
- Change time according to the source
- 2024-09-13T12:44:55
The provider, education and education offering are separate identities. Application information should be checked on the official website. Supplementary statistics have not been obtained from this source.