Course syllabus

Maskininlärning för sakernas internet (IoT)
Machine Learning for Internet of Things (IoT)

EITP40, 7,5 credits, A (Second Cycle)

Valid for: 2023/24
Faculty: Faculty of Engineering, LTH
Decided by: PLED C/D
Date of Decision: 2023-04-18

General Information

Elective for: C4-ks, D4-is, D4-mai, D4-ns, E4, F4, I4-pvs, MWIR1, MMSR2
Language of instruction: The course will be given in English


The purpose of the course is to provide an introduction to artificial intelligence and machine learning techniques for IoT systems e.g. wearable sensors for health monitoring.

Learning outcomes

Knowledge and understanding
For a passing grade the student must

Competences and skills
For a passing grade the student must

Judgement and approach
For a passing grade the student must


Examination details

Grading scale: TH - (U,3,4,5) - (Fail, Three, Four, Five)
Assessment: Approved laboratory assignments give grade 3. An approved final project is required for grades 4 and 5.

The examiner, in consultation with Disability Support Services, may deviate from the regular form of examination in order to provide a permanently disabled student with a form of examination equivalent to that of a student without a disability.


Assumed prior knowledge: Programming, Basic probability, statistics, and algebra.
The number of participants is limited to: No

Reading list

Contact and other information

Course coordinator: Amir Aminifar,