Course syllabus

Tillämpad maskininlärning
Applied Machine Learning

EDAN96, 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-pv, D4-bg, D4-mai, E4-bg, F4, F4-pv, F4-fm, MSOC2, N4, Pi4-fm, Pi4-pv
Language of instruction: The course will be given in English


To give an introduction to fundamental methods and algorithms within Machine Learning and to give an introduction into a selection of specific subdomains and applications. To convey knowledge about breadth and depth of the domain.

Learning outcomes

Knowledge and understanding
For a passing grade the student must

display basic knowledge concerning theories and methods related to the discussed material. Specific topics can include:

Competences and skills
For a passing grade the student must

complete a number of assignments based on problems related to the discussed topics and for some of them demonstrate the ability to:

Judgement and approach
For a passing grade the student must


Fundamentals of machine learning, i.e., concepts and methods for unsupervised and supervised learning, classification and regression:

Specific topics:

Application related topics (to be discussed on overview level) can include:

Examination details

Grading scale: TH - (U,3,4,5) - (Fail, Three, Four, Five)
Assessment: (Laboratory) Assignments and optional written exam. Completed assignments result in a pass (mark 3), better grades can be achieved through participation in the optional written exam. There is the possibility of a bonus point system, which means that answering specific parts of the assignments in addition to the general part can generate bonus points when participating in the written exam.

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.


Admission requirements:

The number of participants is limited to: 100
Selection: Completed university credits within the program incl credited such. Cut-off date for inclusion of credits in the ranking is the day after the enrollment period ends, if nothing else is published on the course website. Priority is given to students enrolled in programmes that include the course in their curriculum.
The course overlaps following course/s: EDAN95, FMAN45

Reading list

Contact and other information

Teacher: Pierre Nugues,
Course coordinator: Elin Anna Topp,
Teacher: Luigi Nardi,
Course coordinator: Maj Stenmark,
Course homepage:
Further information: Detailed rules concerning the assignments will be found in the course web site. Additional course literature will be announced and made available at course start.