Unit Code: ITO4131

Contact Hours: 20-24 hours of study per week

Duration: 6 weeks

Description:

In ‘Java programming’ you will learn the basic concepts involved in the development of well-structured software using programming language. You will gain practical experience in program design and implementation of that design into programming language. This unit focuses on developing your problem solving skills and understanding new and existing code.

Unit Code: ITO4133

Contact Hours: 20-24 hours of study per week

Duration: 6 weeks

Description:

‘Introduction to Python’ teaches programming fundamentals and the Python language. You will develop a foundational understanding of program design and implementation of algorithms. This unit will cover basic input and output, program control structures, basic data structures and problem solving strategies.

Unit Code: ITO4132

Contact Hours: 20-24 hours of study per week

Duration: 6 weeks

Description:

Database management systems are integral to the success of organisations. ‘Introduction to databases’ serves as a thorough introduction to database management, built upon a theoretical foundational of relational modelling, analysis and design. You will learn all about the core principles of sound database design, and how to implement relational databases by employing an SQL approach.

Unit Code: ITO4137

Contact Hours: 20-24 hours of study per week

Duration: 6 weeks

Description:

A strong foundational knowledge of computer systems is at the core of computer science. ‘Architecture and networks’ focuses specifically on modern operating systems and networking technology. The unit covers CPU, memory, storage, operating systems and the basic concepts of computer and network security.

Unit Code: ITO4001

Description:

Mathematics and Computer Science cannot be untangled. Most of the problems found in computer science are often formalized and solved with mathematical foundations. Many important problems addressed by computer scientists need the skills in logical thinking, algebraic operations, probability theory and statistical tests and optimization techniques.

This unit is designed to explore various mathematical methods required to work in the area of computer science. You will learn the fundamental concepts in tree and graph data structures, set theory and logic which include predicate and propositional logic, probability and statistics as well as linear algebra, data encoding and calculus. While learning the fundamentals, the unit offers a variety of problem solving activities concentrating on areas where mathematical foundations pave a path to computing problems. It offers an opportunity to understand how to solve computer science problems using mathematical foundations that are relevant to the program the students follow.

Unit Code: ITO5163

Contact Hours: 20-24 hours of study per week

Duration: 6 weeks

Description:

The unit aims to provide the students with in depth knowledge of techniques required to deal with security problems in information systems. The main areas of study include symmetric and asymmetric encryption techniques, cryptographic hash functions with related topics of message authentication codes and digital signatures. Study of techniques and algorithms for providing mutual trust include key management and distribution and user authentication to establish trust in the identity of communicating partner are also included. It looks at various management issues, including use and abuse of encryption, distributed systems authentication and integrity management. A range of security applications are used as examples. Students will learn how to apply cryptographic techniques in practice.

Unit Code: ITO5047

Contact Hours: 20-24 hours of study per week

Duration: 6 weeks

Description:

‘Fundamentals of artificial intelligence’ interrogates core problems and approaches to designing intelligent software systems. You will cover automated search methods, knowledge representation and reasoning, planning, and reasoning under uncertainty. This unit will teach you how to explain, evaluate and apply appropriate AI theories, models and techniques into practice.

Unit Code: ITO5136

Contact Hours: 20-24 hours of study per week

Duration: 6 weeks

Description:

‘Software engineering’ allows you to put your existing programming skills to practice. You will be introduced to software engineering at the postgraduate level, with an emphasis on understanding and solving a wide range of software development problems. This unit will teach you how to identify and describe the software life cycle and its various models.

Unit Code: ITO5201

Contact Hours: 20-24 hours of study per week

Duration: 6 weeks

Description:

Machine learning is, in many ways, already revolutionising the broad ICT sector. In ‘Machine Learning’ you will explore the impact machine learning is having on the major statistical learning models and algorithms used in data analysis. You will build your understanding of these modelling algorithms – contextualised according to the emergence and evolution of machine learning – based upon foundational concepts, including: linear models for regression and classification (logistic regression, Bayesian classifiers), discriminative and generative models, k-means and latent variable models (Gaussian mixture model), expectation-maximisation, neural networks and deep learning.

Unit Code: ITO5217

Contact Hours: 20-24 hours of study per week

Duration: 6 weeks

Description:

In ‘Natural language processing’ you will gain an understanding in complex language expressions that are crucial to artificial intelligence. Natural language processing (NLP) is a vital piece of technology in the information age, therefore it’s vital for students to have a comprehensive understanding. This unit will cover essential techniques for analysing words, sentences, documents and applications.

Unit Code: ITO5221

Contact Hours: 20-24 hours of study per week

Duration: 6 weeks

Description:

In ‘Intelligent image video analysis’ you will learn fundamental and modern concepts of image and video analysis. Your learning is tailored to help you to understand and develop vision-enabled systems, including image formation, operations, features and segmentation. The unit will involve discussing computer vision concepts and theoretical and practical implementation of aspects of computer vision.

Unit Code: ITO5216

Contact Hours: 20-24 hours of study per week

Duration: 6 weeks

Description:

In this unit you will be introduced to the fundamentals of modelling for discrete optimisation. Your learning will focus on how to express a discrete optimisation problem in a way that can be solved. You will also cover specific topics, including decision variables, basic constraints, debugging discrete optimisation and fundamental algorithms.

Unit Code: ITO5001

Contact Hours: 20-24 hours of study per week

Duration: 6 weeks

Description:

The role of IT professionals is constantly evolving in the face of global technological change. ‘Applied practice 1’ provides you with a practical and theoretical understanding of what being a modern IT professional means, and how the role adapts. You will discuss issues relating to professional practice in the workplace, including the ethical and legal challenges of technology.

Unit Code: ITO5002

Contact Hours: 20-24 hours of study per week

Duration: 6 weeks

Description:

In ‘Applied practice 2’ you will have the chance to research contemporary approaches to developing a project. This unit is an opportunity for you to apply the skills and knowledge you have already gained in a practical setting. You will research and create a specific problem or question and then develop a solution according to industry standards for use by organisations or community groups.