School of Computer Science and Statistics
(Semester 1, 5 ECTS) This module aims to provide both a theoretical and practical understanding of
modern and next generation networking and systems concepts, principles, practices
and technologies. Contemporary and emerging wired and wireless network systems
are targeted.
(Semester 1, 5 ECTS) Explain the process of content indexing in information retrieval including stop word removal, conflation (stemming, string-comparison), and the language dependency of these methods.
(Semester 1, 5 ECTS) Locate, obtain and critique relevant knowledge and evidence to support innovation and research
(Semester 1, 5 ECTS) Understand what machine learning is and how it works.
(Semester 1, 5 ECTS) An introduction to machine learning using techniques including linear regression, logistic regression and neural networks in real-world scenarios.
(Semester 1, 5 ECTS) The objective of this module is to equip the students with the fundamental understanding of the major elements of Computer Graphics and explore related areas including geometric modelling, rendering and animation.
(Semester 1, 5 ECTS) This module aims to provide both a theoretical and practical understanding of
modern and next generation networking and systems concepts, principles, practices
and technologies. Contemporary and emerging wired and wireless network systems
are targeted.
(Semester 1, 5 ECTS) This course will introduce you to the exciting new field of fuzzy systems and the related topics in machine learning and the so-called deep learning neural nets.
(Semester 1, 5 ECTS) Microprocessor Systems 1 is a one-semester module taken by third year Electronic, Electronic/Computer and Computer Engineering students.
(Semester 1, 5 ECTS) This module provides students with a solid grounding in various aspects related to building large software systems.
This entails (i) recognising the general software life cycle and its stages from domain analysis to maintenance, (ii) analysing software in the problem domain, (iii) identifying the fundamental approaches to managing software projects and teams, (iv) distinguishing the roles of stakeholders in a software project in general and in software teams in particular, (v) to understand how to measure and reflect team performance.