Coronavirus (Covid-19) Information

Module ICE-3311:
Embedded Systems

Module Facts

Run by School of Computer Science and Electronic Engineering

20 Credits or 10 ECTS Credits

Semester 1

Overall aims and purpose

The module aims to develop concepts in embedded systems, their use and implementation. It provides the overview and usage of the tools necessary to deploy such system in a real context.

Course content

• Basic principles of embedded systems. • Specifying systems, hardware/software partitioning, target hardware platforms. • Microprocessors, microcontrollers, Systems-on-Silicon. • Realtime Operating Systems. • Interrupts, Polling, Watchdog timers. • System modelling, UML • Debugging, emulation and testing.

Assessment Criteria

excellent

Equivalent to the range 70%+. Assemble critically evaluated, relevent areas of knowledge and theory to constuct professional-level solutions to tasks and questions presented. Is able to cross-link themes and aspects to draw considered conclusions. Presents outputs in a cohesive, accurate, and efficient manner.

threshold

Equivalent to 40%. Uses key areas of theory or knowledge to meet the Learning Outcomes of the module. Is able to formulate an appropriate solution to accurately solve tasks and questions. Can identify individual aspects, but lacks an awareness of links between them and the wider contexts. Outputs can be understood, but lack structure and/or coherence.

good

Equivalent to the range 60%-69%. Is able to analyse a task or problem to decide which aspects of theory and knowledge to apply. Solutions are of a workable quality, demonstrating understanding of underlying principles. Major themes can be linked appropriately but may not be able to extend this to individual aspects. Outputs are readily understood, with an appropriate structure but may lack sophistication.

Learning outcomes

  1. Understand the hardware and software environment for system design.

  2. Apply system modelling methods to the design of embedded systems.

  3. Explain the principles of embedded system design.

Assessment Methods

Type Name Description Weight
Embedded System Investigations Portfolio 60
Unseen Examination 40

Teaching and Learning Strategy

Hours
Lecture

1 hour lectures run from weeks 1-12.

12
Tutorial

Supporting tutorials (2 hrs x 12 weeks).

24
Private study

Tutor-directed private study, including individual assessments.

164

Transferable skills

  • Numeracy - Proficiency in using numbers at appropriate levels of accuracy
  • Computer Literacy - Proficiency in using a varied range of computer software
  • Self-Management - Able to work unsupervised in an efficient, punctual and structured manner. To examine the outcomes of tasks and events, and judge levels of quality and importance
  • Exploring - Able to investigate, research and consider alternatives
  • Critical analysis & Problem Solving - Able to deconstruct and analyse problems or complex situations. To find solutions to problems through analyses and exploration of all possibilities using appropriate methods, rescources and creativity.

Subject specific skills

  • Apply an understanding and appreciation of continuous improvement techniques
  • Apply underpinning concepts and ideas of engineering;
  • Assess and choose optimal methods and approaches for the specification, design, implementation and evaluation of engineering solutions, especially ones that include embedded microprocessors
  • Solve problems logically and systematically;
  • Assess and choose optimal methods and approaches for the specification, design, implementation and evaluation of engineering solutions.
  • Knowledge and understanding of facts, concepts, principles & theories
  • Use of such knowledge in modelling and design
  • Problem solving strategies
  • Deploy theory in design, implementation and evaluation of systems
  • Specify, design or construct computer-based systems
  • Deploy tools effectively
  • Development of general transferable skills
  • Knowledge of systems architecture
  • Defining problems, managing design process and evaluating outcomes
  • System Design
  • Knowledge and/or understanding of appropriate scientific and engineering principles
  • Specify, deploy, verify and maintain computer-based systems
  • Principles of appropriate supporting engineering and scientific disciplines

Courses including this module

Compulsory in courses: