Modules

Core Module Information
Module title: Engineering Electronics
SCQF level: 10:
SCQF credit value: 20.00
ECTS credit value: 10
Module code: ELE10112
Module leader: Hongnian Yu
School School of Computing, Engineering and the Built Environment
Subject area group: Cyber Security and Systems Engineering
Prerequisites

Requisites: AND Pre-requisite: Modules equivalent to SCQF level 9 AND Pre-requisite: [Module ELE09102] Electronic Systems
Description of module content:

This module introduces key concepts in analogue and digital electronics, focusing on the design and evaluation of single-stage amplifier circuits, including performance metrics such as gain, frequency response, and power efficiency. Students will analyse and compare amplifier classes (A, B, AB, and C) in terms of efficiency, linearity, and distortion, and apply industry-standard tools such as LTspice and MATLAB for circuit modelling and simulation. The module also covers power electronics and voltage regulation techniques, including linear and switched-mode power supplies. Additionally, students will develop and analyse digital filters using mathematical tools such as convolution and transfer functions, gaining a well-rounded foundation in modern electronic circuit design and analysis.
Learning Outcomes for module:

Upon completion of this module you will be able to

LO1: Design and evaluation of single-stage amplifier circuits, including performance metrics such as gain, frequency response, and power efficiency.

LO2: Understanding and analysis of amplifier classes, focusing on efficiency, linearity, distortion, and application suitability.

LO3: Application of simulation tools for circuit modelling, analysis, and performance verification.

LO4: Evaluation of power electronic circuits, including linear and switched-mode voltage regulation techniques.

LO5: Development and analysis of digital filters, using mathematical tools such as convolution, difference equations, and transfer functions.
Full Details of Teaching and Assessment
2025/6, Trimester 2, In Person,
VIEW FULL DETAILS
Occurrence: 001
Primary mode of delivery: In Person
Location of delivery: MERCHISTON
Partner:
Member of staff responsible for delivering module: Hongnian Yu
Module Organiser:


Student Activity (Notional Equivalent Study Hours (NESH))
Mode of activityLearning & Teaching ActivityNESH (Study Hours)NESH Description
Face To Face Lecture 20 Lectures will be used to explain theory, techniques and to highlight areas needing factual knowledge
Face To Face Tutorial 20 The problem-solving skills to demonstrate the understanding of the knowledge learnt from the lectures
Face To Face Centrally Time Tabled Examination 2 In this centrally timetabled examination, students are expected to demonstrate a comprehensive understanding of mathematics, statistics, natural sciences, and engineering principles in solving complex problems.
Online Guided independent study 158 Self-directed study and reading of materials with guidance from the module leader.
Total Study Hours200
Expected Total Study Hours for Module200


Assessment
Type of Assessment Weighting % LOs covered Week due Length in Hours/Words Description
Report 50 1~2~3~4 Week 10 , WORDS= 2500 words This coursework requires each student to design and analyse an electronic engineering system. By the end of the coursework, students are expected to demonstrate their ability to:- Apply comprehensive knowledge of mathematics, statistics, natural sciences, and engineering principles to solve complex engineering problems. This knowledge should reflect the forefront of the subject area and be informed by a critical awareness of recent developments and the broader engineering context [M1].- Formulate and analyse complex problems to reach well-substantiated conclusions. This involves evaluating available data using first principles of mathematics, statistics, natural sciences, and engineering, and exercising sound engineering judgement when dealing with incomplete or uncertain information. Students should also be able to discuss the limitations of the techniques employed [M2].- Select and apply appropriate computational and analytical techniques to model complex problems, while critically evaluating the assumptions and limitations of the methods used [M3].- Identify, select, and critically assess relevant technical literature and other sources of information to support the resolution of complex engineering problems [M4].- Apply an integrated or systems-based approach to the analysis and resolution of complex problems, considering interactions and dependencies across system components [M6].- Select and appropriately apply materials, equipment, engineering technologies, and processes, with an understanding of their capabilities and limitations [M13].- Communicate effectively on complex engineering topics with both technical and non-technical audiences, and evaluate the effectiveness of the communication methods employed [M17].
Centrally Time Tabled Examination 50 1~2~4~5 Exam Period HOURS= 2 hours In this centrally timetabled examination, students are expected to demonstrate a comprehensive understanding of mathematics, statistics, natural sciences, and engineering principles in solving complex problems. This includes applying knowledge that is often at the forefront of the discipline, informed by a critical awareness of emerging developments and the broader context of engineering [M1]. Additionally, students should be able to adopt an integrated or systems-based approach to effectively address complex engineering challenges [M6].
Component 1 subtotal: 50
Component 2 subtotal: 50
Module subtotal: 100

Indicative References and Reading List - URL:
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