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EE50235: Autonomous systems engineering

[Page last updated: 23 October 2023]

Academic Year: 2023/24
Owning Department/School: Department of Electronic & Electrical Engineering
Credits: 6 [equivalent to 12 CATS credits]
Notional Study Hours: 120
Level: Masters UG & PG (FHEQ level 7)
Period:
Semester 1
Assessment Summary: EX 100%
Assessment Detail:
  • Examination (EX 100%)
Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Requisites:
Learning Outcomes: Design, validate and critically appraise autonomous systems (EP3, ET3, ET4, DP1, SM3).
Compare, contrast and evaluate autonomous systems design techniques and technologies (EP1, EP2, EA3).
Use a range of established and new techniques to design autonomous systems (ET5, EA1, EA2).


Aims: To introduce students to the key elements of autonomous systems design.
To introduce key concepts in understanding, designing and critically appraising autonomous systems.
To provide key skills in implementing autonomous systems.

Skills: Numeracy: Design digital systems (T,F,A)
Using IT effectively: Simulators and design tools (T,F,A)
Research and Analysis: evaluating designs critically (T,F,A)
Independent Working (T, F, A)
Problem Solving (T, F,A)

Content: Autonomy and control algorithms
* advanced automation.
* safety and fault tolerance.
* guidance, navigation, command and control.
* intelligent systems (e.g. sense and avoid, sense and follow).
Power optimisation:
* energy storage and management for vehicle platforms.
Sensing technologies:
* object detection and recognition.
* basic imaging and signal processing.

Course availability:

EE50235 is Compulsory on the following courses:

Department of Electronic & Electrical Engineering

EE50235 is Optional on the following courses:

Department of Computer Science
  • RSCM-AFM51 : Integrated PhD Accountable, Responsible and Transparent Artificial Intelligence
  • RSCM-APM51 : Integrated PhD Accountable, Responsible and Transparent Artificial Intelligence
  • TSCM-AFM51 : MRes Accountable, Responsible and Transparent Artificial Intelligence
  • TSCM-AFM52 : MSc Accountable, Responsible and Transparent Artificial Intelligence
  • TSCM-AFM48 : MSc Machine Learning and Autonomous Systems
  • TSCM-AWM48 : MSc Machine Learning and Autonomous Systems

Notes:

  • This unit catalogue is applicable for the 2023/24 academic year only. Students continuing their studies into 2024/25 and beyond should not assume that this unit will be available in future years in the format displayed here for 2023/24.
  • Courses and units are subject to change in accordance with normal University procedures.
  • Availability of units will be subject to constraints such as staff availability, minimum and maximum group sizes, and timetabling factors as well as a student's ability to meet any pre-requisite rules.
  • Find out more about these and other important University terms and conditions here.