Electrical and Electronic Fundamentals for Masters (autumn)
20 credits
The module expands students lifelong learning skills by developing their proficiency in self- assessment of their knowledge. This will be achieved by asking students to identify gaps in their knowledge in the core areas of electrical and electronic engineering and the development and implementation of an improvement plan.
The problem/project based learning will be used to reinforce the fundamental skills of an electrical and electronic engineer. These problems will be introduced in student led small group seminars where students will discuss the problem and discuss what background knowledge is required and suitable resources. A member of academic staff will aid the students identify appropriate learning material where students find it difficult to do so. As part of the learning experience, students will keep a weekly online log detailing the learning activities undertaken, what they have learnt and the areas they still need to develop.
Practical skills, both ICT and laboratory based skills will be developed using both individual and group activities.
To provide formative feedback during this learning period, there will be 4 compulsory on-line tests. Although the mark attained is not used in the calculation of the module mark, failure, without good cause to complete 3 of the 4 tests within the given time window, will result in a zero module mark.
ICT technology plays a key role in modern engineering and this module will introduce typical commercial engineering packages used in their area of interest. The software packages are Matlab, Keysight ADS ( Circuit Simulation), ADS (communication systems simulation), Simulink, PLECS
Experience of these packages will be gained from solving exemplar problems. Students will be required to show competency in 2 packages. A student may elect to experience more ICT packages but will not be assessed on them.
Method and Frequency of Class:
Activity |
Number of Weeks |
Number of sessions |
Duration of a session |
Computing |
2 weeks |
2 week |
2 hours |
Lecture |
8 weeks |
1 week |
2 hours |
The formative progress tests will be on-line for completion within a 24 hour period.
Method of Assessment:
Assessment Type |
Weight |
Requirements |
Poster |
5.00 |
Poster presentation |
Presentation |
15.00 |
Oral presentation |
Coursework 1 |
20.00 |
Assessment of software competencies #1 |
Coursework 2 |
20.00 |
Assessment of software competencies #2 |
Exam |
40.00 |
End of module exam (autumn) - e-assessment |
Advanced Engineering Research Project Organisation and Design (spring)
10 credits
A project-oriented module involving a review of publications and views on a topic allied to the chosen specialist subject. The module will also involve organisation and design of the main project. Skills will be acquired through workshops and seminars that will include:
- Further programming in MATLAB and /or MSExcel Macros
- Project planning and use of Microsoft Project
- Measurement and error analysis
- Development of laboratory skills including safety & risk assessment
Students will select a further set of specialist seminars from, for example:
- Meshing for computational engineering applications
- Modelling using CAE packages
- Use of CES Selector software
- Specific laboratory familiarisation
- Use of MSVisio software for process flow
- Use of HYSYS process modelling software
- Use of PSpice to simulate analogue and digital circuits
The specialist seminars will be organised within the individual MSc courses.
Delivery: 3-hour seminars in 12 weeks
Assessment method
Assessment Type |
Weight |
Requirements |
Coursework 1 |
40.00 |
Project Plan Report for the Individual Postgraduate Project including risks and ethics as appropriate (3000 word limit) |
Coursework 2 |
20.00 |
Literature analysis of four sources relevant to the Individual Postgradute Project |
Exam 1 |
20.00 |
E-assessment: Experimental Design (Max 1 hour) |
Exam 2 |
20.00 |
E-assessment: Statistics (Max 1 hour) |
Exam 3 |
|
Health and safety test (pass required) |
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 student will be expected to conduct a literature survey, undertake practical or theoretical work and write a dissertation on this work.
The module aims to give experience of completing a major investigation within the topic area of their MSc course, including planning the work to meet a final deadline and reporting on the work both in a structured written report and by an informal oral presentation.
Assessment method
Assessment Type |
Weight |
Requirements |
Dissertation |
80.00 |
Final Thesis (100 pages maximum) |
Oral |
10.00 |
Bench Inspection |
Report |
10.00 |
Interim Report |
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 |
|
Coursework 3 |
25.00 |
|
Coursework 4 |
25.00 |
|
Coursework 5 |
25.00 |
|
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.
|
Exam |
40% |
|
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.
|
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.
|
Exam |
40.00 |
|
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
|
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% |
RF Electronics (spring)
20 credits
This module covers the main concepts in design of high-speed circuits and devices including:
- passive circuits,
- amplifiers
- active devices
Delivery
Activity |
Number of Weeks |
Number of sessions |
Duration of a session |
Lecture |
11 weeks |
1 week |
2 hours |
Practicum |
11 weeks |
1 week |
2 hours |
Assessment method
Assessment Type |
Contribution |
Requirements |
Coursework |
30% |
RF 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 |
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 |