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Course syllabus - Robotics - Project Course

Scope

30.0 credits

Course code

DVA490

Valid from

Autumn semester 2026

Education level

Second cycle

Progressive Specialisation

A1F (Second cycle, has second-cycle course/s as entry requirements)

Main area(s)

Computer Science

Organisation

Department of Computer Science & Engineering

Ratified

2020-12-15

Revised

2025-11-03

Literature lists

Course literature is preliminary up to 8 weeks before course start. Course literature can be valid over several semesters.

    • Ratified date: 2021-07-01
    • Latest update: 2025-05-27

    Other Materials

    Litteraturen väljes i samråd med handledaren

    Akademin för innovation, design och teknik,

Objectives

The goal with the course is to design and build a complete robotic systems. The robot should have the following properties:

  • contain sensors for recognizing the surrounding world
  • be completely autonomous
  • be able to act, i.e. have actuators
  • contain some artificial intelligence (AI)

Learning outcomes

After completing the course the student shall be able to:

  1. describe how a fully working robot is designed,
  2. relate research that is close to that subsystem that the student has taken part in designing,
  3. have an understanding of the scientific methods that are relevant within the field,
  4. have full understanding of group dynamics in a project where the number of co-workers are more than ten people.

Depending on the main focus for the individual student, it is required that solutions are to be found in relevant research groups and in the scientific literature.

Course content

The course starts with a requirement specification and results from previous years project. Since the project in itself is so large, it is natural that
the tasks are divided into several sub projects, and they are adapted to the actual participating students. Each sub project has very good knowledge
about its problems and solutions, and all are informed about other sub projects progress and possible obstacles.

Specific requirements

Signal Processing 7.5 credits, Complex Electronic Systems 7.5 credits, Applied Artificial Intelligence 15 credits, and Intelligent Systems 7.5 credits. And also completed courses of 150 credits in the technical and/or natural sciences areas where at least 15 credits in courses at advanced level in Electronics. In addition Swedish course 3 or Swedish level 3 and English course 6 or English level 2 are required. For courses given entirely in English exemption is made from the requirement in Swedish course 3 or Swedish level 3.

Examination

Project (PRO1), 7,5 credits, examines the learning outcomes 2,3, and 4, marks Fail (U) or Pass (G)
Project (PRO2), 7,5 credits, examines the learning outcomes 2,3, and 4, marks Fail (U) or Pass (G).
Project (PRO3), 7,5 credits, examines the learning outcomes 2,3, and 4, marks Fail (U) or Pass (G).
Project (PRO4), 7,5 credits, examines the learning outcomes 1, 2, 3, and 4, marks Fail (U) or Pass (G).

A student who has a certificate from MDU regarding disability study support, can request adaptions for the examination. It is the examiner who takes decisions on any adaptions, based on the certificate and other conditions.

Grade

Two-grade scale

Interim Regulations and Other Regulations

The course completely overlaps with CDT508/DVA473 Robotics - Project Course.