MJ2528 AI applications in Sustainable Energy Engineering 5.0 credits
The course aims to provide students with knowledge of central concepts in artificial intelligence (AI), and their applications in energy technology. The course focuses on machine learning for energy applications and the students will be given an insight into basic theory and algorithms that appear in models for machine learning, as well as how methods and data are chosen in different situations.
Information per course offering
Information for Autumn 2025 Start 25 Aug 2025 programme students
- Course location
KTH Campus
- Duration
- 25 Aug 2025 - 12 Jan 2026
- Periods
Autumn 2025: P2 (2.5 hp), P1 (2.5 hp)
- Pace of study
17%
- Application code
50962
- Form of study
Normal Daytime
- Language of instruction
English
- Course memo
- Course memo is not published
- Number of places
Places are not limited
- Target group
- Only for TMESM students, not open for exchange students
- Planned modular schedule
- [object Object]
- Schedule
Contact
Course syllabus and course offering missing
Course syllabus missing, showing available course information. Course offering also missing for current semester as well as for previous and coming semesters
Content and learning outcomes
Course contents
No information inserted
Intended learning outcomes
No information inserted
Literature and preparations
Specific prerequisites
No information inserted
Recommended prerequisites
Knowledge in Pyhton and Matlab
Literature
You can find information about course literature either in the course memo for the course offering or in the course room in Canvas.
Examination and completion
Grading scale
A, B, C, D, E, FX, F
Examination
No information inserted
Examiner
Further information
Course room in Canvas
Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.
Offered by
Main field of study
Mechanical Engineering
Education cycle
Second cycle