Module Catalogues

Analogue and Digital Electronic Circuits for IoT

Module Title Analogue and Digital Electronic Circuits for IoT
Module Level Level 1
Module Credits 5
Academic Year 2026/27
Semester SEM2

Aims and Fit of Module

The aim of the module is to introduce students to A. fundamental electronic devices - diodes and transistors, and how transistors are used in design and analysis of amplifier and switching circuits. B. the binary number system, the laws of Boolean algebra, and basic design methods for combinational and sequential logic circuits.

Learning outcomes

A A Demonstrate understanding of the behaviour, important properties, equivalent circuit representations and applications of diodes and transistors. B Design and analyse simple BJT/MOSFET circuits. C Analyse the simple BJT/MOSFET amplifier’s frequency response. D Demonstrate understanding of and apply the laws of Boolean algebra in logic minimisation. E Demonstrate understanding of basic design methods for combinational and sequential logic circuits. F Demonstrate understanding of the practical skills in building and debugging electronic systems.

Method of teaching and learning

The teaching philosophy of the module follows very much the philosophy of Syntegrative Education. This means that the teaching delivery pattern, which follows more intensive block teaching, allows more meaningful contributions from industry partners. This philosophy is also carried through in terms of assessment, with a reduction in the use of exams and an increase in coursework, especially problem-based assessments that are project-focused. This module will be delivered through a combination of lectures, group discussions, case studies, hands-on practical exercises, and AI-assisted learning tools. Lectures and group discussions are conducted using the Problem-Based Learning paradigm, focusing on student-centred learning, where students develop critical thinking and problem-solving skills to address open-ended problems that lack a straightforward solution. AI-powered learning platforms will be integrated to provide personalised feedback and adaptive learning resources, enabling students to progress at their own pace while addressing complex challenges. This module is taught with an emphasis on student learning through practice and by projects, facilitated by a module leader and, where appropriate, industrial mentors. Students can identify particular areas of learning needs or interests according to the available project(s), with AI-assisted analytics helping to identify knowledge gaps and recommend targeted learning materials. They will conduct independent research to gather information and resources to better define the problem, utilising AI-enhanced research tools to efficiently analyse data and synthesise information. Progress towards the learning outcomes will be facilitated and monitored, where students are guided to progressively address the given problem through tasks, with AI-driven progress tracking providing real-time insights into their development. Independent learning will form an important aspect of the educational activities in this module, supported by intelligent tutoring systems that offer immediate guidance when needed. Assessed by a project, students shall gain practical experience in undertaking independent study and research on industry-focused real-world problems, with AI-assisted project management tools helping them organise their work and collaborate effectively with team members.