Course syllabus - Autonomous Vehicles
Scope
5 credits
Course code
DVA348
Valid from
Autumn semester 2025
Education level
First cycle
Progressive Specialisation
G2F (First cycle, has at least 60 credits in first-cycle course/s as entry requirements).
Main area(s)
Computer Science
School
School of Innovation, Design and Engineering
Ratified
2025-01-16
Literature lists
Course literature is preliminary up to 8 weeks before course start. Course literature can be valid over several semesters.
Objectives
The aim with the course is to teach basic technology enabling fully autonomous vehicles. The aim is also to make students able to perform overall assessments of the usefulness of these vehicles including safety critical, environmental, and ethical considerations.
Learning outcomes
After completing the course the student should be able to:
1. explain different areas of application for autonomous vehicles,
2. summarize basic technical enablers for autonomous vehicles,
3. define typical requirements that are required for autonomous vehicles,
4. reflect upon people's perspective regarding driverless/pilotless vehicles, and
5. conceive and defend legal and ethical aspects arising when humans and autonomous vehicles interact.
Course content
Different application areas for autonomous vehicles will be identified and illuminated through a home assignment. Basic technical enablers such as artificial intelligence, computing platforms and specific safety requirements for these vehicles, will also be addressed through the home assignment.
During seminars, the omission of operators (pilots/drivers) in autonomous vehicles as well as legal and ethical aspects regarding the interplay between humans and autonomous vehicles will be discussed.
Specific requirements
75 credits of which 60 credits from completed courses in engineering including Requirements Engineering 7.5 credits.
Examination
Written assignment (INL1), 3 credits, examines the learning outcomes 1, 2 and 3, marks Fail (U), 3, 4 or 5.
Seminar (SEM1), 2 credits, examines the learning outcomes 4 and 5, marks Fail (U) or Pass (G).
A student who has a certificate from MDU regarding a disability has the opportunity to submit a request for supportive measures during written examinations or other forms of examination, in accordance with the Rules and Regulations for Examinations at First-cycle and Second-cycle Level at Mälardalen University (2020/1655). It is the examiner who takes decisions on any supportive measures, based on what kind of certificate is issued, and in that case which measures are to be applied.
Suspicions of attempting to deceive in examinations (cheating) are reported to the Vice-Chancellor, in accordance with the Higher Education Ordinance, and are examined by the University’s Disciplinary Board. If the Disciplinary Board considers the student to be guilty of a disciplinary offence, the Board will take a decision on disciplinary action, which will be a warning or suspension.
Grade
Pass with distinction, Pass with credit, Pass, Fail
Interim Regulations and Other Regulations
The course completely overlaps with FLA433 Autonomous Vehicles.
The course can be included in the technology field for dependable systems.