Course syllabus

Applied Machine Learning
Tillämpad maskininlärning

EDAN96, 7.5 credits, A (Second Cycle)

Valid for: 2024/25
Faculty: Faculty of Engineering LTH
Decided by: PLED C/D
Date of Decision: 2024-04-16
Effective: 2024-05-08

General Information

Depth of study relative to the degree requirements: Second cycle, in-depth level of the course cannot be classified
Elective for: C4-pvs, C4-pvt, D4-bg, D4-mai, D4-se, D4-pv, E4-bg, F4, F4-pv, F4-fm, MSOC2, N4, Pi4-fm, Pi4-pv
Language of instruction: The course will be given in English

Aim

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

Competences and skills
For a passing grade the student must

Judgement and approach
For a passing grade the student must

Contents

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 written exam. To qualify for the exam students must have completed the assignments. The final grade of the course is based on the result of the written examination.

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.

Modules
Code: 0124. Name: Compulsory Course Items.
Credits: 5.0. Grading scale: UG - (U, G). Assessment: To qualify for a passing grade (3) the laboratory work and assignments must be completed. To take the exam it is necessary to pass all assignments. The module includes: Laboratory work and assignments (passing all assignments is required for passing the course).
Code: 0224. Name: Exam.
Credits: 2.5. Grading scale: TH - (U, 3, 4, 5). Assessment: To qualify for the exam the assignments must be completed. The final grade of the course is based on the result of the written examination. The module includes: Written exam.

Admission

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.
Kursen överlappar följande kurser: EDAN95 FMAN45 BMEN35

Reading list

Contact and other information

Course coordinator: Elin Anna Topp, elin_anna.topp@cs.lth.se
Course coordinator: Maj Stenmark, maj.stenmark@cs.lth.se
Teacher: Pierre Nugues, pierre.nugues@cs.lth.se
Course homepage: https://cs.lth.se/edan96/
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.