The course gives a comprehensive introduction to machine learning, covering learning theory, methods and applications. The objective is realized by presenting methods and tools proven valuable and by addressing specific application problems.
Students must have knowledge about:
The course will be taught a combination of lectures, demos of applications, exercises and mini-project
Name of exam | Machine Learning |
Type of exam | Written or oral exam |
ECTS | 5 |
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 | Maskinlæring |
Module code | ESNESK1K6 |
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 Electronics and IT |
Department | Department of Electronic Systems |
Faculty | The Technical Faculty of IT and Design |