Computer Science with Foundation Year BSc(Hons)

In this module you explore and practice using the necessary mathematical tools and principles required for your first-year studies. You will begin with some basics in arithmetic, algebra, and trigonometry these will be followed rapidly by the more advanced areas of sets, matrices, vectors and calculus.

This module will allow you to consider some of the main areas of study within computing and information technology. You will develop knowledge and understanding of computer systems and the principles of computing (including programming), as well as how these are applied to the solution of problems in the real world.

Problem solving, whether by human or by a computer, demands an in-depth understanding of the strengths and weakness of its underlying process. Computational thinking underpins the core fundamentals of this process by incorporating problem description, decomposition, abstraction and ultimately realisation. This module introduces you to the theoretical foundation of computational thinking through a collection of problems with incrementally challenging complexity. You will then put these concepts into practice through the introduction of key programming principles. These all serve as a gateway into further study on core computer science subjects such as discrete mathematics, data structures and algorithms.

In this module we introduce you to basic computing science and mathematical concepts related to software development. Topics covered include set theory, graphs and trees, finite state machines, grammars and languages, propositional logic and searching and sorting algorithms. You’ll put the theory into practice using a programming language and software that lets you directly implement finite state machines.

This module will provide you with fundamental knowledge of computer hardware and systems software. You will gain knowledge in the fundamentals of computer hardware ranging from basic digital logic to instruction sets and microarchitecture. The practical elements of this module will equip you with an ability to work with basic system software at a machine instruction-level.

This module introduces the core fundamental principles of computer networking. You will gain knowledge of the theoretical concepts of networking, such as addressing, switching and routing. Furthermore, you will be exposed to key issues, such as network security, along with typical techniques used to address these issues. In addition to the theoretical aspects of networking, you will plan, design and implement practical solutions using live or simulation tools.

Working as part of a team, this module aims to provide you with an understanding of hardware, software and industry best practices used by businesses. In your teams you’ll be supported in planning, designing and developing a prototype product. This experience has been designed to introduce you to the product development cycle, technology limitations and possible future developments.

This module aims to introduce you to fundamental programming concepts using an object-oriented programming approach. Additionally, you will gain knowledge of high-level notions of algorithms, data structures, and program testing and evaluation.

This module aims to equip you with the knowledge and skills needed to design, implement and query a relational database. You’ll be supported in gaining an understanding of the functionality necessary to enable web pages to interact with a database. You’ll be given the opportunity to become familiar with web architectures and the design considerations necessary for implementing a database driven web application.

In this module you will be supported in expanding your programming skills to cover a range of standard data structures (e.g. lists, trees and graphs) and algorithms (e.g. searching, sorting and traversals) for both sequential and concurrent systems. You will also study how to analyse systems in order to determine their complexity, correctness and safety, and to calculate their efficiency.

In this module you will study the architectures of computer operating systems, including how they deal with resource allocation, management and security, in both single processor systems and multiple distributed processor systems (networks).

Can machines (in particular computers) be intelligent? And what does that mean precisely? These are the main questions that we try to answer in this module. We will explore how machines can achieve intelligent tasks in a variety of settings. In the first half of the module we consider settings with full observability and determinism, these are like laboratory conditions or puzzle games. In this setting, we will look at knowledge representation, problem solving, and planning. In the second half of the module the settings are relaxed, and we will study how to deal with the uncertainties that arise from this. In particular, we will see how to deal with opponents, with incomplete and/or uncertain information, and how intelligent agents can learn.

This module introduces fundamental concepts in computer and network security, enabling the identification of vulnerabilities and the selection and implementation of suitable mitigation technologies. Throughout this module you’ll learn about securing data through the use of cryptography, operating system security and multi-user environments, creating secure programs, state-of-the-art methods for identifying potential threats, and legal and ethical issues surrounding computer security. This module teaches a broad range of subjects and you will learn both essential theoretical and practical aspects of computer security. This knowledge is in demand by employees and the module will empower you to start to specialise in security. The module covers issues pertinent to industry such as how to maintain data security through using strong encryption, detecting complex security threats, and also in maintain compliance with the General Data Protection Regulation (GDPR).

This module covers the mathematical foundations required for scientific computing. You’ll be introduced to fundamental concepts in algebra and be supported in developing an understanding of both analytical and numerical methods for solving equations in one variable. You'll also be introduced to error analysis and proof.

This module provides a detailed analysis of a range of techniques for the development of distributed and client-server systems architectures. You will indicatively explore remote method invocation, CORBA (Common Object Request Broker: Architecture and Specifications), web and cloud services. You will also examine some typical distributed systems, including distributed file systems, distributed databases, and other common architectures.

The module covers some of the more advanced approaches to developing web applications, examining both client and server-side technologies. You will explore and compare structured approaches to web development and multiple modern web frameworks, together with a range of contemporary development tools. As your understanding of the technologies and approaches develops, you will aim to critically evaluate them and assess the benefits and risks of using a given approach or framework for a given task.

This module aims to provide you with an understanding of computational perspectives of mathematics, with an emphasis on matrix methods and data modelling. You’ll be supported in developing the ability to use both analytical and numerical techniques for solving large systems of linear equations and in analysing the resulting algorithms in terms of robustness, performance, stability and accuracy. You’ll be encouraged to broaden your mathematical understanding by applying your knowledge to real-world problems in developing solutions to a range of computational challenges using industry standard software (such as Matlab).

Recent advances in information technology have facilitated massive collection of data in numerous areas, leading to major developments in data-driven Artificial Intelligence (AI) approaches. This module allows you to obtain a fundamental understanding of such approaches, particularly advanced machine learning techniques to construct intelligent systems capable to recognise, classify, or decide, among others. We will consider several widely known approaches, including deep learning, and investigate typical applications and potential limitations. You will learn which techniques are appropriate for which learning problem and their advantages and disadvantages. You will have the opportunity to apply this knowledge using industry standard tools and delve into high profile data-driven applications such as medical imaging and natural language processing.

Modern software engineering projects have become increasingly larger, in terms of hardware, source code, numbers of users or data volume. This module provides an analysis of the problems associated with large-scale software engineering projects and the practices, procedures, techniques and tools designed to address these issues. You will investigate all stages of a large-scale project: choosing a process model, scheduling, cost estimation, requirements engineering, risk management, security, modelling and design, quality assurance, testing and maintenance and overall management of the project. You will consider issues within these stages arising due to large scales, along with optimal solutions that can guarantee successful and timely delivery of a large-scale software project.