School of Computer Science and Statistics
(Semester 1, 5 ECTS) The purpose of this module is to provide an introduction to the practical uses of computer applications particularly in the area of spreadsheets, web page design and development, and programming language.
(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.