Advanced Software Engineering for AI/ML-Enabled Systems

Education facts

Code: DIT978

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

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.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Advanced Software Engineering for AI/ML-Enabled Systems

  University of Gothenburg

  Start date: 24 March 2025

  End date: 8 June 2025

  Pace of study: 50 %