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.
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Assessment
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Weight
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Type
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Requirements
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Coursework 1
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20.00
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Laboratory
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Lab based exercise
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Coursework 2
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15.00
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Presentation
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Poster presentation
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Coursework 3
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5.00
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Assignment
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Poster peer assessment and completion
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Coursework 4
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60.00
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Presentation
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Group proposal presentation
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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.
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Assessment
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Weight
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Type
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Requirements
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Coursework 1
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80.00
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Coursework
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Thesis background review (Chapters 1 and 2)
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Coursework 2
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20.00
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Presentation
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Proposal Defence
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MSc Project (Summer)
60 credits
In this module a student will be assigned to an individual supervisor who will be a staff member in the Department of Chemical and Environmental Engineering. The student will carry out a practical or theoretical project chosen from the current interests of the staff member concerned.
The principal aims of the module are to develop the student's ability to work as part of a group to develop and analyse a proposed process design and to identify research need. Then to develop the student’s ability to evaluate and select information and apply this knowledge to propose and execute a research programme to address the identified need.
The module is composed of four major deliverables, a mixture of group and individual project work.
Assessment: 100% coursework
Task 1 (30%) Group design project
Task 2 (Formative) Individual research proposal
Task 3 (50%) Individual research paper
Task 4 (20%) Individual design re-evaluation
Advanced Computational Engineering (autumn)
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.g. multicore, distributed and graphics processing unit (GPU) based systems
- database design and implementation
- distributed network based computing
- hardware interfacing
Delivery
| Activity |
Number of Weeks |
Number of sessions |
Duration of a session |
| Computing |
11 weeks |
1 week |
2 hours |
| Lecture |
11 weeks |
1 week |
2 hours |
Assessment method
| Assessment Type |
Weight |
Requirements |
| Coursework 1 |
12.50 |
|
| Coursework 2 |
12.50 |
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| Coursework 3 |
25.00 |
|
| Coursework 4 |
25.00 |
|
| Coursework 5 |
25.00 |
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Digital Signal Processing (autumn)
20 credits
This module introduces the principles, major algorithms and implementation possibilities of digital signal processing at an advanced level.
Delivery
| Activity |
Number of Weeks |
Number of sessions |
Duration of a session |
| Lecture |
11 weeks |
2 weeks |
2 hours |
| Computing |
10 weeks |
1 week |
2 hours |
Assessment method
| Assessment Type |
Contribution |
Requirements |
| Coursework |
60% |
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.
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| Exam |
40% |
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Instrumentation and Measurement (autumn)
20 credits
This module is an introduction to the principles and practice of instrumentation and measurement systems in an engineering context.
The module will cover the generally applicable basic principles and then look at specific classes of instrument and associated electronics and signal processing methods.
Topics covered include:
- Basic principles and instrument characteristics.
- Measurement errors, basic statistics, noise and its control.
- Dynamic characteristics of instruments, time and frequency domain responses.
- System identification using correlation techniques.
- Amplifiers, filters, ADCs and DACs.
- Position, strain, pressure and motion sensors (resistive, capacitive, inductive, optical).
- Flow sensors.
- Electronic and optical measurement instrumentation.
Delivery
| Activity |
Number of Weeks |
Number of sessions |
Duration of a session |
| Lecture |
11 weeks |
2 weeks |
2 hours |
Assessment method
| Assessment Type |
Contribution |
Requirements |
| Coursework |
60% |
Coursework Part 1: weight 0.5, 25 hours of student effort; assessment of student ability to demonstrate fundamental acquisition of the module's learning outcomes.
Coursework Part 2: weight 0.5, 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.
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| Exam |
40% |
2 hour exam. |
Integrated Circuits and Systems (autumn)
20 credits
The module introduces CMOS integrated circuit design and internal operating mechanisms of semiconductor electronics and opto-electronic devices.
Delivery
| Activity |
Number of Weeks |
Number of sessions |
Duration of a session |
| Lecture |
11 weeks |
2 weeks |
2 hours |
| Computing |
10 weeks |
1 week |
1 hours |
Assessment method
| Assessment Type |
Weight |
Requirements |
| Coursework 1 |
30.00 |
VLSI design coursework |
| Coursework 2 |
30.00 |
Devices coursework |
| Exam |
40.00 |
End of module exam |
IT Infrastructure and Cyber Security (autumn)
20 credits
Providing you with the skills required to commission a complete IT system, this module provides information on network design and implementation, services, security and management of systems.
You’ll also be introduced to new uses of IT infrastructure (such as VoIP).
Delivery
| Activity |
Number of Weeks |
Number of sessions |
Duration of a session |
| Lecture |
11 weeks |
1 weeks |
2 hour |
| Computing |
11 weeks |
1 week |
2 hours |
Assessment method
| Assessment Type |
Contribution |
Requirements |
| Coursework 1 |
10% |
Physical infrastructure coursework |
| Coursework 2 |
20% |
Logical design and implementation coursework |
| Coursework 3 |
30% |
Software vulnerabilities coursework |
| Exam |
40% |
E-assessment |
Scalable Cross-Platform Software Design (autumn)
20 credits
Development and deployment of software for a variety of platforms ranging from the web and mobile devices through to large scale parallel computers.
Delivery
| Activity |
Number of Weeks |
Number of sessions |
Duration of a session |
| Lecture |
11 weeks |
1 week |
2 hours |
| Computing |
11 weeks |
1 week |
2 hours |
Assessment method
| Assessment Type |
Contribution |
Requirements |
| Coursework 1 |
25% |
25 hours of student time |
| Coursework 2 |
25% |
25 hours of student time |
| Coursework 3 |
25% |
25 hours of student time |
| Exam |
25% |
1 hour, multiple choice |
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.
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| Exam |
40.00 |
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Digital Communications (spring)
10 credits
This module is an introduction to the operation of modern digital communication systems. Topics covered include:
- communication systems
- information content and channel capacity
- digital modulation techniques
- data compression techniques
- error-correcting and line coding techniques
- digital signal regeneration techniques
- system examples, telephone, digital television and CD technologies.
Delivery
| Activity |
Number of Weeks |
Number of sessions |
Duration of a session |
| Lecture |
11 weeks |
1 weeks |
2 hours |
Assessment method
| Assessment Type |
Contribution |
Requirements |
| Coursework 1 |
25% |
12.5 hours of student time |
| Coursework 2 |
25% |
|
| Exam |
50% |
2 hour exam |
Embedded Computing (spring)
10 credits
This module aims to introduce principal generic and distinctive features of embedded computing, and develop practical skills in designing firmware for PIC16 microcontrollers using assembly language.
The modules includes:
- Architectures for embedded programmable digital electronics
- operation of a microcontroller and its programming
- assembly language directives and instructions
- interfacing of microcontrollers
- embedded peripherals and interrupts in microcontrollers
- communications for embedded computing
- special features of microcontrollers (the above items are based on the PIC16 microcontroller family)
- various microcontroller families
- introduction to larger scale embedded systems
Delivery
| Activity |
Number of Weeks |
Number of sessions |
Duration of a session |
| Lecture |
11 weeks |
1 week |
2 hours |
| Workshop |
11 weeks |
1 week |
1 hour |
Assessment method
| Assessment Type |
Contribution |
Requirements |
| Coursework |
20% |
12.5 hours of student time |
| 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 |
50% |
2 hour exam |
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
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| 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 |
Mobile Technologies (spring)
10 credits
This module provides knowledge of the fundamentals of mobile communications and its application to real systems.
Typical subjects might be 3rd and 4th generation systems, OFDM and MIMO and how 5th generation systems are likely to develop.
Delivery
| Activity |
Number of Weeks |
Number of sessions |
Duration of a session |
| Lecture |
11 weeks |
1 week |
2 hours |
Assessment method
| Assessment Type |
Contribution |
Requirements |
| Coursework 1 |
25% |
|
| Coursework 2 |
25% |
|
| Exam |
50% |
End of module exam |
Optical and Photonic Technology (spring)
20 credits
This module covers selected topics from the interface between electronic and optical regimes.
You will also look at issues with:
- component, circuit and system design applications
- communications
- material processing
- bio-photonics
- optical imaging
Optical Networks (spring)
10 credits
You will be introduced to the concepts and operating principles of optical communication systems and networks and the devices that underpin them.
Topics typically include:
- characteristics of optical fibres
- active and passive optical devices: including transmitters, detectors, amplifiers, multiplexers, filters and couplers
Delivery
| Activity |
Number of Weeks |
Number of sessions |
Duration of a session |
| Lecture |
11 weeks |
1 week |
2 hours |
Assessment method
| Assessment Type |
Contribution |
| Coursework 1 |
25% |
| Coursework 2 |
25% |
| Exam |
50% |
Robotics, Dynamics and Control (spring)
10 credits
This module is an introduction to electromechanical fundamentals in robotics and covers:
- Direct kinematics
- Inverse kinematics
- Workspace analysis and and specifying appropriate robotic manipulators for industrial processes
Delivery
| Activity |
Number of Weeks |
Number of sessions |
Duration of a session |
| Lecture |
11 weeks |
1 week |
2 hours |
Assessment method
| Assessment Type |
Contribution |
Requirements |
| Coursework 1 |
25% |
|
| Coursework 2 |
25% |
|
| Exam |
50% |
2 hour exam |
Sensing Systems and Signal Processing (spring)
10 credits
This module covers a selection of topics where information is acquired from sensors and subsequently electronically processed.
Applications include:
- optical
- acoustic
- non-destructive evaluation
- medical
- biophotonics
Method and Frequency of Class:
| Activity |
Number of Weeks |
Number of sessions |
Duration of a session |
| Lecture |
11 weeks |
1 week |
2 hours |
Method of Assessment:
| Assessment Type |
Contribution |
Requirements |
| Coursework 1 |
25% |
Matlab exercises |
| Coursework 2 |
25% |
Research and design proposal |
| Exam |
50% |
End of module exam |
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.
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Course Component
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Number of weeks
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Number of sessions
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Duration of a session
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|
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Laboratory
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11 weeks
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1 week
|
2 hours
|
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Lecture
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11 weeks
|
1 week
|
2 hours
|
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|
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|
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Assessment
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Weight
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Type
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Duration
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Requirements
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Coursework
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30.00
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|
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10 page report and LTspice simulation file
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Coursework
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30.00
|
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Design files and documentation for an RF device
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Exam
|
40.00
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Written (in person)
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2Hr
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