STU12502 – Introduction to Statistics
(Semester 2, 5 ECTS) To introduce students to the elementary ideas of statistical inference and the use of simple statistical methods in practical situations.
School of Computer Science and Statistics
(Semester 2, 5 ECTS) To introduce students to the elementary ideas of statistical inference and the use of simple statistical methods in practical situations.
(Semester 2, 5 ECTS) The objectives of this module are: to develop an in-depth understanding of risk, data
privacy, threats and risks of security breaches, an awareness of computer security
(cryptographic) and protocol techniques, and an ability to make appropriate
decisions about securing data.
(Semester 2, 5 ECTS) In this module, students will explore the prevailing vision for an Internet of Things in
a practical, pragmatic manner.
(Semester 2, 5 ECTS) Appreciate the scope, applications and limitations of artificial intelligence;
(Semester 2, 5 ECTS) The aim of this module is to provide students with a deep understanding of the theory and techniques behind real time animation.
(Semester 2, 5 ECTS) This module continues on from CS7CS4 (Machine Learning) with a focus on sampling methods and topical applications.
(Semester 2, 5 ECTS) The aims of this module are to give the student skills to model, analyse and solve optimisation problems that arise in data analytics and modern computing and communication systems.
(Semester 2, 10 ECTS) Instruction will be provided in Agile development methodologies and facilities will be provided in order to promote close collaboration between team members.
(Semester 2, 5 ECTS) An in-depth initiation into some topics in Knowledge Representation and Automata
(Semester 2, 5 ECTS). The objectives of this module are: to develop an in-depth understanding of risk, data
privacy, threats and risks of security breaches, an awareness of computer security
(cryptographic) and protocol techniques, and an ability to make appropriate
decisions about securing data.