Durham University
Programme and Module Handbook

Undergraduate Programme and Module Handbook 2026-2027

Module ENGI4537: Advanced Electronics Measurements 4

Department: Engineering

ENGI4537: Advanced Electronics Measurements 4

Type Tied Level 4 Credits 10 Availability Available in 2026/2027 Module Cap None. Location Durham
Tied to H100
Tied to H711
Tied to H712
Tied to H713

Prerequisites

  • ENGI3331, ENGI3451, ENGI3391

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).
  • M3. Select and apply appropriate computational and analytical techniques to model complex problems, discussing the limitations of the techniques employed (exam assessed).
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

  • Lectures will take place once a week across Michaelmas and Epiphany terms.
  • The module content is delivered in lectures and through home exercises.
  • 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.
  • 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.

Teaching Methods and Learning Hours

Activity Number Frequency Duration Total/Hours Attendance Monitored
Lectures 20 Weekly 1 hour 20
Revision Classes 1 hour 1
Preparation and Reading 1 79
Total 100

Summative Assessment

Component: Examination Component Weighting: 100%
Element Length / duration Element Weighting Resit Opportunity
Online Examination 100%

Formative Assessment:

N/A


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.