Course syllabus

Intelligent Autonomous Systems
Intelligenta autonoma system

EDAP20, 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: BME4, C4-sec, C4-pvs, D4-mai, E4, F4, M4, MMSR2, Pi4-pv
Language of instruction: The course will be given in English

Aim

To give an introduction to several subdomains of intelligent autonomous systems and robotics, and to give an orientation about fundamental methods and algorithms within these domains. 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

 

 

Examination details

Grading scale: TH - (U, 3, 4, 5) - (Fail, Three, Four, Five)
Assessment: To qualify for a passing grade (3) the laboratory work must be completed. With passing all assignments a student qualifies for participation in an optional exam, which gives opportunity to improve the course mark, i.e. if a 4 or 5 is achieved in the written exam, this will be the overall mark for the course.

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: 0120. Name: Intelligent Autonomous Systems.
Credits: 7.5. Grading scale: TH - (U, 3, 4, 5). Assessment: To qualify for a passing grade (3) the laboratory work must be completed. With passing all assignments a student qualifies for participation in an optional exam, which gives opportunity to improve the course mark, i.e. if a 4 or 5 is achieved in the written exam, this will be the overall mark for the course. The module includes: Laboratory work (passing all assignments is required for passing the course). Optional written exam.

Admission

Admission requirements:

The number of participants is limited to: 30
Selection: Completed university credits within the program. Priority is given to students enrolled on programmes that include the course in their curriculum.

Reading list

Contact and other information

Course coordinator: Volker Krueger, volker.krueger@cs.lth.se
Teacher: Elin Anna Topp, elin_anna.topp@cs.lth.se
Teacher: Jacek Malec, jacek.malec@cs.lth.se
Course homepage: http://cs.lth.se/EDAP20
Further information: Detailed rules concerning the assignments will be found in the course web site.