Postgraduate taught 

Robotics & AI MSc

Robotics Team Design Project M ENG5325

  • Academic Session: 2023-24
  • School: School of Engineering
  • Credits: 20
  • Level: Level 5 (SCQF level 11)
  • Typically Offered: Runs Throughout Semesters 1 and 2
  • Available to Visiting Students: No

Short Description

This project gives students knowledge and experience of implementing design architecture and processes, project management and trade-offs, and team work required to design, programme and analyse a system architecture for operating and controlling a robot or robotic system.


Weekly meetings with supervisor. Weekly meetings as a team without supervisor.

Excluded Courses





50% of the assessment grade comes from the group final report (to be submitted at the end of the project), weighted by self-assessment contribution from each student within the team.

20% of the assessment grade comes from 2 group presentations (one at the end of each teaching semester), weighted by self-assessment contribution from each student within the team.

30% of the assessment comes from the continual performance of the team members, weighted by contribution of each student based on individual time sheets agreed at regular meetings and self-assessment of each team members' contributions.

Are reassessment opportunities available for all summative assessments? No

Reassessments are normally available for all courses, except those which contribute to the Honours classification. Where, exceptionally, reassessment on Honours courses is required to satisfy professional/accreditation requirements, only the overall course grade achieved at the first attempt will contribute to the Honours classification. For non-Honours courses, students are offered reassessment in all or any of the components of assessment if the satisfactory (threshold) grade for the overall course is not achieved at the first attempt. This is normally grade D3 for undergraduate students and grade D3 for postgraduate students. Exceptionally it may not be possible to offer reassessment of some coursework items, in which case the mark achieved at the first attempt will be counted towards the final course grade. Any such exceptions for this course are described below. 


Due to the team nature of this course and the availability of specialised equipment/facilities, reassessment will not be available for this course.

Course Aims

The aims of this course are to:

■ introduce students to the practical issues involved in a team design project;

■ enable students to implement their knowledge of Robotics and Artificial Intelligence within a Robotic Systems based team design project;

■ provide an introduction to the project management and team building skills needed for such a collaborative project.

Intended Learning Outcomes of Course

By the end of this course students will be able to: 

■ develop suitable mathematical models and simulations of robotic systems;

■ design autonomous feedback control algorithms to control the position, orientation and motion of an actuated robotic system;

■ design health and response monitoring systems for a robotic platform;

■ design a system for autonomous control and monitoring operations;

■ analyse, evaluate and refine the control and monitoring algorithms;

■ assess and test the relative performance of the control and monitoring systems;

■ develop a practical project plan from requirements capture to test & validation;

■ employ project management concepts including costing of the activities and time/resource management.

Minimum Requirement for Award of Credits

Students must submit at least 75% by weight of the components (including examinations) of the course's summative assessment.