Holistic Engineering Design
10 credits
The Holistic Engineering Design module is vital for future engineers as it equips them with the skills and mindset needed to address the complex and multifaceted challenges of the modern engineering landscape. It encourages students to consider ethical, environmental, and societal aspects of engineering design, making them well-prepared to create sustainable and innovative solutions in their future careers. This course fosters creativity, critical thinking, and effective communication, which are essential skills for successful engineers.
Assessment
|
Weight
|
Type
|
Requirements
|
Coursework 1
|
20.00
|
Laboratory
|
Lab based exercise
|
Coursework 2
|
15.00
|
Presentation
|
Poster presentation
|
Coursework 3
|
5.00
|
Assignment
|
Poster peer assessment and completion
|
Coursework 4
|
60.00
|
Presentation
|
Group proposal presentation
|
Project Design and Development
10 credits
The Project Design and Development module equips students with the skills and knowledge needed to design, plan, and implement research projects – the module is essential for MSc students in the Department of Electrical and Electronic Engineering that will commence their individual project in the summer. Students will learn about the importance of developing proposals, time plans and project management, as well as the necessity to adequately explain the context and backgrounds of projects through critiquing literature. Students will engage with their assigned project supervisors to aid in this module.
Assessment
|
Weight
|
Type
|
Requirements
|
Coursework 1
|
80.00
|
Coursework
|
Thesis background review (Chapters 1 and 2)
|
Coursework 2
|
20.00
|
Presentation
|
Proposal Defence
|
Applied Computational Engineering
20 credits
This module covers the development of advanced engineering software projects, spanning a range of application areas. Generic topics to be discussed include: Large-scale software management, robust design and coding techniques, accurate and efficient numerical computing for technological simulations, parallel computing techniques applicable to several classes of parallel computer e. multicore, distributed and graphics processing unit (GPU) based systems, database design and implementation. You’ll have a two-hour lecture each week to study for this module.
Advanced Control (autumn)
20 credits
This module covers a range of advanced control techniques used in a wide range of engineering applications.
Typical topics include:
- multivariable state space modelling
- inear and nonlinear systems
- continuous and discrete domains
- observer theory.
Delivery
Activity |
Number of Weeks |
Number of sessions |
Duration of a session |
Lecture |
7 weeks |
2 weeks |
2 hours |
Practicum |
10 weeks |
1 week |
2 hours |
Assessment method
Assessment Type |
Contribution |
Requirements |
Coursework |
50% |
Part 1: weight 25%, 25 hours of student effort; assessment of student ability to demonstrate fundamental acquisition of the module's learning outcomes.
Part 2: weight 25%, 25 hours of student effort; assessment of student ability to demonstrate application of the module's learning outcomes to realistic engineering design and implement tasks.
|
Exam |
50% |
Formative health & safety risk assessment |
Advanced Power Electronics (autumn)
20 credits
This module covers the design of power electronic converters for real applications. Both component-level design and the impact of non-idealities on modelling and operation are considered.
Assessment
Exam, 40.0%
Coursework 1, 30.0%
Coursework 2, 30.0%
Coursework:
Power electronic systems design exercise that puts module content into practice using modelling and simulation tools.
Key Module Topics
Advanced modelling and control of power converters
Enabling technologies of power conversion (semiconductor devices, packaging, cooling)
Digital Signal Processing (autumn)
20 credits
This module introduces the principles, major algorithms, and implementation possibilities, of digital signal processing at an advanced level.
Method and Frequency of Class:
Activity |
Number of Weeks |
Number of sessions |
Duration of a session |
Lecture |
11 weeks |
2 weeks |
2 hours |
Workshop |
10 weeks |
1 week |
2 hours |
Method of Assessment:
Assessment Type |
Weight |
Requirements |
Coursework |
50.00 |
Part 1: weight 25%, 25 hours of student effort; assessment of student ability to demonstrate fundamental acquisition of the module's learning outcomes.
Part 2: weight 25%, 25 hours of student effort; assessment of student ability to demonstrate application of the module's learning outcomes to realistic engineering design and implement tasks.
|
Exam |
50.00 |
|
Advanced AC Drives (spring)
20 credits
This module covers the control of AC drives, covering drives for a variety of machine types and control strategies, for example, vector control.
This module:
- provides a good understanding of the concepts of field orientation and vector control for induction and non-salient and salient PM AC machines.
- provides information and guidance on the design of control structures and their implementations including parameter dependencies and field weakening
- imparts design skills through the design of a vector controlled drive using manufacturer’s machine and converter data and defined design specifications
- develops critical assessment skills through design evaluation
Delivery
Activity |
Number of Weeks |
Number of sessions |
Duration of a session |
Lecture |
12 weeks |
2 weeks |
2 hours |
Assessment method
Assessment Type |
Contribution |
Requirements |
Coursework |
50% |
2-hour written examination |
Exam |
50% |
Part 1: weight 20%, 20 hours of student effort; assessment of student ability to demonstrate fundamental acquisition of the module's learning outcomes.
Part 2: weight 30%, 30 hours of student effort; assessment of student ability to demonstrate application of the module's learning outcomes to realistic engineering design and implement tasks.
|
Advanced Electrical Machines (spring)
20 credits
This module introduces advanced electrical machine concepts and applications in the area of more electric transport, renewable generation and industrial automation.
The module will help you to:
- develop a fundamental understanding of the interaction of the electromagnetic, mechanical and thermal engineering disciplines related to electrical machine design.
- develop analytical skills in modelling and design of electrical machines.
- have a clear understanding of the different types and topologies of modern electrical machines.
- develop skills in designing electrical machines
- develop the ability to analyse and characterise an electric motor through its parameters and performance using FEA approach
Delivery
Activity |
Number of Weeks |
Number of sessions |
Duration of a session |
Lecture |
12 weeks |
2 weeks |
2 hours |
Practicum |
10 weeks |
1 week |
2 hours |
Assessment method
Assessment Type |
Contribution |
Requirements |
Coursework |
25% |
Part 1: weight 12.5%, 12.5 hours of student effort; assessment of student ability to demonstrate fundamental acquisition of the module's learning outcomes.
Part 2: weight 25%, 12.5 hours of student effort; assessment of student ability to demonstrate application of the module's leaning outcomes to realistic engineering design and implement tasks.
|
Exam |
75% |
|
Artificial Intelligence and Intelligent Systems (spring)
20 credits
This module will provide you with knowledge of the fundamentals of artificial intelligence technologies and their relevance to Electronic Engineering applications. It includes selected topics from the field of artificial intelligence with particular focus on the interface with electronic systems.
Delivery
Activity |
Number of Weeks |
Number of sessions |
Duration of a session |
Computing |
11 weeks |
1 week |
2 hours |
Lecture |
11 weeks |
2 weeks |
1 hours |
Assessment method
Assessment Type |
Weight |
Requirements |
Coursework |
60.00 |
Part 1: weight 30%, 25 hours of student effort; assessment of student ability to demonstrate fundamental acquisition of the module's learning outcomes.
Part 2: weight 30%, 25 hours of student effort; assessment of student ability to demonstrate application of the module's learning outcomes to realistic engineering design and implement tasks.
|
Exam |
40.00 |
|
HDL for Programmable Devices (spring)
20 credits
The module introduces both the syntax and application of HDL for the design of modern electronics. This includes:
- Xilinx
- Mentor Graphics
- combinational and sequential circuits design
You also be introduced to the VHDL syntax and its latest development. The module will use the software tools from both Xilinx and Mentor Graphics to present FPGA based digital system design flow with VHDL.
Delivery
Activity |
Number of Weeks |
Number of sessions |
Duration of a session |
Lecture |
11 weeks |
1 weeks |
2 hours |
Computing |
11 weeks |
1 week |
2 hours |
Assessment method
Assessment Type |
Contribution |
Requirements |
Coursework |
30% |
VHDL design project
|
Laboratory 1 |
5% |
Submission of laboratory exercises |
Laboratory 2 |
5% |
Submission of laboratory exercises |
Laboratory 3 |
5% |
Submission of laboratory exercises |
Laboratory 4 |
5% |
Submission of laboratory exercises |
Laboratory 5 |
5% |
Submission of laboratory exercises |
Laboratory 6 |
5% |
Submission of laboratory exercises |
Exam |
40% |
End of module exam |
Optical and Photonics Technology (spring)
20 credits
Selected topics from the interface between electronic and optical regimes. Issues regarding component, circuit and system design with applications to communications, material processing, biophotonics and optical imaging.
To introduce fundamentals of optical and photonics technologies and their relevance to Electronic Engineering applications.
Delivery
Activity |
Number of Weeks |
Number of sessions |
Duration of a session |
Lecture |
12 weeks |
2 weeks |
2 hours |
Workshop |
1 week |
1 week |
4 hours |
Assessment method
Assessment Type |
Weight |
Requirements |
Coursework |
50.00 |
Part 1: 25% weight, 25 hours of student effort; assessment of student ability to demonstrate fundamental acquisition of the module's learning outcomes.
Part 2: 25% weight, 25 hours of student effort; assessment of student ability to demonstrate application of the module's learning outcomes to realistic engineering design and implement tasks
|
Exam |
50.00 |
|
Power Systems for Aerospace, Marine and Automotive (spring)
20 credits
This module aims to develop an understanding of the design and operation of power systems in aerospace, marine and automotive applications.
With the introduction of more electrical technologies in these application areas, the understanding and expected performance of the power system has become a critical platform design issue.
Delivery
Activity |
Number of Weeks |
Number of sessions |
Duration of a session |
Lecture |
12 weeks |
2 week |
2 hours |
Practicum |
10 weeks |
1 week |
2 hours |
Assessment method
Assessment Type |
Weight |
Requirements |
Coursework |
25.00 |
Part 1: weight 12.5%, 12.5 hours of student effort; assessment of student ability to demonstrate fundamental acquisition of the module’s learning outcomes.
Part 2: weight 12.5%, 12.5 hours of student effort; assessment of student ability to demonstrate application of the module’s learning outcomes to realistic engineering design and implement tasks.
|
Exam |
75.00 |
|
RF Devices and Systems
20 credits
This module introduces typical analytical, computational and experimental tools used in the study of Radio Frequency (RF) and high frequency devices and systems. This module will detail the fundamentals of electromagnetic wave propagation and typical RF devices such as antennas, antenna arrays, amplifiers, mixers and metal wave guides.
Course Component
|
Number of weeks
|
Number of sessions
|
Duration of a session
|
|
|
|
|
Laboratory
|
11 weeks
|
1 week
|
2 hours
|
Lecture
|
11 weeks
|
1 week
|
2 hours
|
|
|
|
|
Assessment
|
Weight
|
Type
|
Duration
|
Requirements
|
Coursework
|
30.00
|
|
|
10 page report and LTspice simulation file
|
Coursework
|
30.00
|
|
|
Design files and documentation for an RF device
|
Exam
|
40.00
|
Written (in person)
|
2Hr
|