Postgraduate Programme and Module Handbook 2026-2027
Module ENGI48515: Advanced Electronics Measurements
Department: Engineering
ENGI48515: Advanced Electronics Measurements
| Type | Tied | Level | 4 | Credits | 15 | Availability | Available in 2026/2027 | Module Cap |
|---|
| Tied to | H1KE09 |
|---|
Prerequisites
- None
Corequisites
- None
Excluded Combination of Modules
- None
Aims
- This module is designed solely for students studying Department of Engineering degree programmes.
- To provide an overview and describe methods for measuring, characterising and assessing communication systems and semiconducting devices.
- To explain the working principles of various metrology and characterisation procedures for semiconductor devices and communication systems.
- To introduce and familiarise students with measurement techniques for radio channel characterisation, and wideband propagation models in various frequency bands.
- To introduce and familiarise students with solid-state device reliability tests and application.
Content
- Electronic and electro-optical characterisation techniques.
- Physical characterisation techniques.
- Instrumentation for measurements.
- Narrowband and wideband channel models.
- Estimation of channel parameters from measurements.
Learning Outcomes
Subject-specific Knowledge:
- In-depth knowledge of the common methods for communication systems and semiconductor devices metrology.
- A knowledge of current characterisation instruments and metrology techniques.
- Practical application of engineering methodologies to characterise devices and communication radio systems.
- An appreciation of emerging characterisation and metrology techniques.
- AHEP4 Learning Outcomes: In order to satisfy Professional Engineering Institution (PEI) accreditation requirements the following Accreditation of Higher Education Programmes (AHEP4) Learning Outcomes are assessed within this module:
- M1. Apply a comprehensive knowledge of mathematics, statistics, natural science and engineering principles to the solution of complex problems (exam assessed).
- M2. Formulate and analyse complex problems to reach substantiated conclusions. This will involve evaluating available data using first principles of mathematics, statistics, natural science and engineering principles, and using engineering judgment to work with information that may be uncertain or incomplete, discussing the limitations of the techniques employed (exam assessed).
- M3. Select and apply appropriate computational and analytical techniques to model complex problems, discussing the limitations of the techniques employed (delivered/developed).
Subject-specific Skills:
- An awareness of current characterisation practises in the electronics industry.
- An ability to critically analyse complex engineering problems in the electronic industry and apply appropriate methodologies to solve them.
- An ability to assess the quality of engineering data, based on the chosen characterisation methodology.
Key Skills:
- Capacity for independent self-learning within the bounds of professional practice.
- Mathematics relevant to the application of advanced engineering concepts.
- Problem solving skills.
- The ability to merge data from several sources for the solution of an engineering problem.
Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module
- The module content is delivered through lectures and reinforced by Formative Problem Sheets and Problem Classes, equipping students with the required problem-solving capability.
- Throughout the academic year, students will be required to submit Formative Problem Sheets via the virtual learning environment to monitor and consolidate their understanding as the course progresses.
- Students will attend one Discussion Class in the Michaelmas term and a second in the Epiphany term. These sessions provide an opportunity to consolidate material covered in lectures and to receive guidance and support from a demonstrator.
- At the start of the academic year, students will complete a benchmark test to assess prior knowledge and highlight areas needing further consolidation. This diagnostic activity directs students towards appropriate revision resources and independent study.
- A mock examination will be held in the Epiphany term to provide a formative, exam‑style experience. Students may then discuss their performance informally with academic staff, either during Office Hours or an Academic Adviser session, and receive targeted feedback ahead of the summative assessment.
- A further Revision Class will be held ahead of the main examination period to support students in preparing for their final assessments.
- Written timed examinations are appropriate because of the wide range of analytical, in-depth material covered in this module and allow students to demonstrate the ability to solve advanced problems independently.
- Students are encouraged to engage with staff Office Hours for one‑to‑one or small‑group discussion of any aspect of the module. These sessions are offered weekly during teaching, timings are published on Learn Ultra.
Teaching Methods and Learning Hours
| Activity | Number | Frequency | Duration | Total/Hours | Attendance Monitored |
|---|---|---|---|---|---|
| Lectures | 10 | Typically 1 per week | 1 hour | 20 | |
| Revision Classes | 3 | Throughout the academic year | 2 | Yes ■ | |
| Discussion Classes | 2 | Throughout first two terms | 3 hours (includes 1 hour preparation to be completed before attending the session) | 6 | Yes ■ |
| Preparation and Reading | 122 | ||||
| Total | 150 |
Summative Assessment
| Component: Examination | Component Weighting: 100% | ||
|---|---|---|---|
| Element | Length / duration | Element Weighting | Resit Opportunity |
| Online Examination | 2 hours | 100% | |
Formative Assessment:
Formative assessment is provided by means of formative problem sheets, benchmark test and mock examinations.
■ Students who do not attend monitored activities shown under Teaching Methods and Learning Hours, or who fail to complete the summative or formative assessment(s) specified above, may be subject to the Academic Progress procedures defined in the University's General Regulation V, and may be required to leave the University.