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Course syllabus - Robotic Systems

Scope

7.5 credits

Course code

DVA272

Valid from

Autumn semester 2026

Education level

First cycle

Progressive Specialisation

G1F (First cycle, has less than 60 credits in first-cycle course/s as entry requirements)

Main area(s)

Computer Science

Organisation

Department of Computer Science & Engineering

Ratified

2024-01-18

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: 2025-01-31
    • Latest update: 2025-05-27

    Miscellaneous

    Kursen innehåller ingen specifik litteratur. Ev tillkommer material som tillhandahålls via Canvas.

Objectives

The course will provide in-depth knowledge of some of the fundamentals of robotics, "Sense, Plan and Act". The course aims to provide the student with a good understanding and familiarity with of some of the commonly used tools used to simulate, model and visualize robots in software and then apply their knowledge in practice through the development of their own robot system.

Learning outcomes

After completing the course, the student shall be able to:

  1. use operating systems and control systems for robots, at a basic level,
  2. be able to use simulation environments as tools in the development process for a robot, at a basic level,
  3. develop and implement sensor solutions for robotics systems,
  4. develop and implement software for simple autonomous decision-making,
  5. develop and implement the action of a robot with safety in mind and
  6. explain the structure of a robot system orally, in writing and through block diagrams in a concise and informative way.

Course content

Design and develop robots and their subsystems. "Sense Plan Act". Multithreaded programming, inter-process communications and scheduling in embedded systems. Programming and implementation of sensor solutions, sensor fusion and sensordata-based decision making. Introduction to commonly occurring hardware in robotics platforms for the collection of sensor data or to interact with the environment. Working with robotic systems and robotic simulation software.

Specific requirements

Programming of Embedded Systems 7.5 credits, Electronic Systems 7.5 credits, Measurement Technique 7.5 credits, Architecture and Communication for Embedded Systems 7.5 credits, Electrical Measurement Systems 7.5 credits or equivalent.

Examination

Laboratory work (LAB1), 1,5 credits, examines the learning outcomes 1-2, marks Fail (U) or Pass (G).
Laboratory work (LAB2), 1,5 credits, examines the learning outcomes 3-4, marks Fail (U) or Pass (G).
Laboratory work (LAB3), 1,5 credits, examines the learning outcomes 4-5, marks Fail (U) or Pass (G).
Project (PRO1), 3 credits, examines the learning outcomes 1-6, marks Fail (U), 3, 4 or 5.

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

Grading scale: 5, 4, 3

Interim Regulations and Other Regulations

The course overlaps with 2,5 credits with DVA315 Operating Systems.