Course development
MF2143 Introduction to Embedded Machine Learning 7.5 credits
On this page, you can track the course's development over time. Once the course analysis is published, data for each course offering is displayed, including the number of registered students, course results, and planned improvements for the next session. All course syllabuses and course memos are shown on the page Archive.
The information can help prospective, current, and former students with course selection, or to follow up on their own participation. Teachers, course coordinators, examiners, program directors, and others can use the page as a resource for course development.
2026
Course analysis not published
2025
Autumn 2025-50758 ( Start date 27 Oct 2025, English )
Changes planned for the next course offering
For the next course offering, the following changes will be implemented:
1. Admission control will be enhanced to ensure that participants have adequate background in programming and basic machine learning and are at master's level.
2. Weekly physical lab sessions with TA support will be introduced to strengthen hands-on guidance beyond online tutorials.
3. The assessment criteria will be communicated more clearly early in the course.
Coordinator
Dejiu ChenExaminers
Dejiu ChenStudents
22Course syllabus
Course syllabus MF2143 ( Autumn 2025 - )Course memo
Course memo MF2143 Autumn 2025-50758Compulsory within programme
No information insertedResults on course
Total number
18
A
3
B
6
C
3
D
4
E
2
FX
0
F
0