State-of-the-art in SE4AI 7.5 credits
Course Contents
The course is an advanced course in state-of-the-art research and practice in the field of software engineering, focusing on AI- and ML-enabled systems, covering advanced research and recent trends in the field.
Specifically, the course contains a selection of state-of-the-art research and trends in the field, discusses areas in need of further research, and gives students the opportunity to evaluate and critically examine a subset of the research topics covered.
The course includes the following elements:
- Exploration of recent trends in the field, alternating theory and practice
- Examination of current theories, methods and practices in software engineering for AI and ML
- Analysis of the main research challenges and future research directions in engineering AI-enabled systems
Prerequisites
Passed courses at least 90 credits within the major subject computer engineering, computer science, informatics, information systems or information technology, including a minimum of 15 credits in mathematics and at least 30 credits in programming/software development, or alternatively passed courses at least 150 credits from the programme Computer Science and Engineering, and taken Advanced Software Engineering for AI, Developing LLM-enabled Systems, 7.5 credits and Deep Learning, 7.5 credits.
Level of Education: Master
Coursecode/Ladok code: T2HEAS
The course is conducted at: School of Engineering
| Label | Value |
|---|---|
| Type of course | Programme instance course |
| Study type | Normal teaching |
| Semester | Autumn 2027 |
| Study period |
week 43 - week 2
|
| Rate of study | 50% |
| Language | English |
| Location | Jönköping |
| Time | Day-time |
| Tuition fees do NOT apply for EU/EEA citizens or exchange students | 21375 SEK |
| Syllabus (PDF) | |
| Application code | HJ-T1037 |