Programming experience in MATLAB or Python is recommended.
The course is taught by a mixture of lectures, exercises, and e-learning activities.
Since it is a 5 ECTS course module, the work load is expected to be 150 hours for the student.
Name of exam | Artificial Intelligence in Energy Systems |
Type of exam | Oral exam
The exam is based on a report submitted by individual students or
small groups of students. |
ECTS | 5 |
Permitted aids | With certain aids:
For more information about permitted aids, please visit the course
description in Moodle. |
Assessment | 7-point grading scale |
Type of grading | Internal examination |
Criteria of assessment | The criteria of assessment are stated in the Examination Policies and Procedures |
Danish title | Kunstig intelligens i energisystemer |
Module code | N-EE-K3-27 |
Module type | Course |
Duration | 1 semester |
Semester | Autumn
|
ECTS | 5 |
Language of instruction | English |
Empty-place Scheme | Yes |
Location of the lecture | Campus Aalborg |
Responsible for the module |
Study Board | Study Board of Energy |
Department | Department of Energy |
Faculty | The Faculty of Engineering and Science |