BSc (Hons) Computer Science (Software Engineering) with Year in Industry Bachelor's degree at Royal Holloway, University of London

This module teaches programming and object-orientation concepts. Students will learn about program basics (variables, types, scope, lifetimes), control flow (if-constructs, for-loops, while-loops), data structures (strings, sets, lists, trees), objects (classes and inheritance), exceptions (throwing and catching) and file I/O (streams, file reading and writing).

This module teaches programming and object-orientation concepts, (building on what is taught in Object Oriented Programming I). Students will reinforce their knowledge about program basics (eg variables, types, scope, lifetimes), algorithms (e.g. recursion, searching, sorting), data structures (eg sets, lists, trees), objects (eg classes, dynamic dispatch, interface, inheritance, generics), exceptions and I/O (eg streams, file reading, writing and copying). Furthermore, the course also teaches f

In this module you will develop an understanding of the building of computer systems and applying your knowledge as patrt of a small team to construct a fully-fledged software product.

In this module you will develop an understanding of how the internet works and its key protocols. You will look at the technologies used for web development, including scripting languages and their potential for adding dynamic content to web sites and applications. You will consider the role of web services and related technologies, and will examine the fundamental principles of network security.

In this module you will develop an understanding of the formal reasoning for sets, relations, functions and cardinality. You will look at the structures for program data and representation and learn to write and reason recursive definitions and prove results by induction and contradiction. You will also consider the representation and reasoning of problems using graphs.

In this module you will develop an understanding of the handling of large and infinite objects within a programming environment. You will learn how to use formal logic to design, reason about and minimise switching circuits, and write basic programs in assembly language. You will consider the binary representations of signed and unsigned integers and how to write regular expressions to describe sets and build deterministic automata to recognise these. You will also examine the use of automata ma

This module provides the necessary Mathematics to prepare you for topics such as Machine Learning and Information Security which have become essential to the discipline. In particular, this will include an introduction to Linear Algebra (taught in a way relevant to Computer Scientists), Probability and Statistics.

In this module you will develop an understanding of software design and engineering processes, including the Waterfall and Agile methodologies. You will learn how to identify common software requirements and see how these have been considered in existing systems. You will look the techniques of software design and how software engineers communicate their design ideas. You will consider the importance of documentation and the usage of current industry-standard notations such as user stories and t

This module will describe the key principles of academic integrity, focusing on university assignments. Plagiarism, collusion and commissioning will be described as activities that undermine academic integrity, and the possible consequences of engaging in such activities will be described. Activities, with feedback, will provide you with opportunities to reflect and develop your understanding of academic integrity principles.

In this module you will develop an understanding of software engineering techniques and the managerial discipline required to work as part of a team. You will look at basic object-oriented concepts and consider the need for effective program documentation, testing, readability, and modifiability. You will consider the tools used to support software development, such as version controllers, debuggers, and code style checkers, and see how these are integrated into an industry-standard development

This module aims to assist students in appreciating the role of the computer professional through the practical experience of developing medium scale software as part of a team. You'll study: The software lifecycle, including: software development, planning and documentation. Team development, communication, managing risks and conflicts. Practical experience of standard industrial software engineering. Agile project management, use of version control in a team, IDEs, etc. A medium scale agile so

In this module you will develop an understanding of the function and architecture of network operating systems. You will look at the role of an operating system, considering processes, memory and file systems. You will learn to write basic shell scripts, see how services are used at the operating system-level, and evaluate the theory and practice of existing operating systems. You will also examine the UNIX shell, including starting programs, input and output streams, pipes, filters, and utiliti

In this module you will develop an understanding of the basic concepts of database technology, including the need for database integrity and robustness, and the use of a modern database system in a web-based environment. You will look at database design and the theory of the relational view of data, learn to describe the crucial issues concerning database integrity and recovery from failure, and write search query language (SQL) queries. You will also consider the process of designing and implem

In this module you will develop an understanding of the design of algorithms, with a focus on time and space complexity. You will examine basic algorithms, looking at the implementation and analysis of linear search, binary search, and basic sorting, including insertion sort, selection sort, merger sort, quick sort, and heap sort. You will consider alternative data structure representations, such as binary search trees, hash tables, and binary heaps, and will gain an insight into the basics of g

In this module you will develop an understanding of how information security may be influenced by real-world design and implementation decisions. You will look at the different cryptographic algorithms, considering their use, advantages and disadvantages. You will use these cryptographic primitives to review and evaluate cryptographic protocols, and examine the rational decisions in the design of tokens and secure elements.

In this module you will develop an understanding of computer and network security. You will look at software vulnerabilities, hands-on hacking-oriented attacks, memory errors, and web and network security. You will learn how to identify such vulnerabilities and consider the countermeasures that can mitigate their exploitation. You will also examine malicious software (malware) as a typical consequence of a successful software exploitation.

The aim of this course is to introduce students to the basic principles, methods and techniques of the symbolic AI approach, where one develops an intelligent system using rules, knowledge and actions that are interpretable. The intention is to provide the foundations of the key principles of symbolic AI, so that these can be combined with non-symbolic AI courses in the area. The course will start by providing an overview of the approaches in the field by referring to the wider historical contex

You will spend this year on a work placement. You will be supported by the Department of Computer Science and the Royal Holloway Careers and Employability Service to find a suitable placement. This year forms an integral part of the degree programme and you will be asked to complete assessed work. The mark for this work will count towards your final degree classification.

This module provides the opportunity to demonstrate independence and originality, to plan and organise a large project over a long period, and to put into practice the techniques taught throughout the degree course.

This module introduces user-centred design aspects and challenges in interactive traditional, augmented and virtual reality contexts, and addresses the approaches that can be used to create displays and interfaces to enhance user experience.

In this module you will develop an understanding of key methods and techniques in machine learning. You will study approaches such as nearest neighbours, ridge regression, Lasso, and support vector machines for both classification and regression tasks. You will explore the use of different distance measures and the kernel trick, as well as practical kernels and their applications. The module also introduces conformal prediction and its application to various algorithms. You will gain experience

In this module you will develop an understanding of the fundamentals behind cryptography and how it is deployed in real systems. You will look a