Component

MA Public Opinion and Political Behaviour
BEng Computer Systems Engineering options

Year 2, Component 05

Option(s) from list
CE202-5-AU
Software Engineering
(15 CREDITS)

This module aims to equip students with the main principles guiding the activities involved in software development throughout its lifecycle, including software requirements, object-oriented analysis and design, software validation and testing, and software maintenance and software evolution.

CE203-5-AU
Application Programming
(15 CREDITS)

This module extends the students' knowledge and skills in object-oriented application programming by a treatment of further Java language principles and of important Application Programming Interfaces (APIs). The Java Collections API is explored in some more detail with emphasis on how to utilise these classes to best effect. A particular focus will be on the interaction with databases (e.g. via JDBC) and on writing secure applications.

CE204-5-AU
Data Structures and Algorithms
(15 CREDITS)

Data structures and algorithms lie at the heart of Computer Science as they are the basis for the efficient solution of programming tasks. In this module, students will study core algorithms and data structures, as well as being given an introduction to algorithm analysis and basic computability.

CE212-5-SP
Web Application Programming
(15 CREDITS)

The aim of this module is to provide an understanding of the principles that underlie the design of web applications, and to provide practical experience of the technologies used in their construction.

CE215-5-SP
Robotics
(15 CREDITS)

The robots are fast becoming part of our daily lives, autonomous cars will drive themselves, drones will deliver packages, and underwater vehicles will explore the oceans. This module covers fundamental knowledge on sensing, navigation, localisation, motion control, and decision making involved in most robotic platforms. You will be able to program simulated or real robots to perform a range of tasks.

CE221-5-AU
C++ Programming
(15 CREDITS)

The aim of this module is to provide an introduction to the C++ programming language. The contents covered by this module include basic concepts and features of C++ programming (e.g., operator overloading), C++ Standard Template Library, and inheritance, function overriding and exceptions.

CE231-5-SP
Computer and Data Networks
(15 CREDITS)

Want to configure Internet routing protocols for interconnecting networks? Or configure Ethernet switches and associated protocols? Build on your understanding of Internet routing protocols, Ethernet and other IP networking. Gain practical experience of configuration. Design addressing structures and interconnecting strategies for campus scale networks.

CE235-5-SP
Computer Security
(15 CREDITS)

This module introduces a number of ideas of computer security, ranging from ciphers to malicious software. After completing this module a student will be able to make a sufficiently informed judgement on most computer security issues and computer security solutions. The module includes programming coursework encouraging the students to experiment with ideas of computer security on simplified examples.

CE264-5-AU
Digital Systems Design
(15 CREDITS)

Digital systems are an important part of most electronic devices and systems. In this module students learn to design a small system using an industry-standard prototyping board based around a Xilinx FPGA. The module is laboratory based using Xilinx Computer-Aided Design (CAD) software and it builds on knowledge of digital circuits that students learn in CE161. Students learn how to design, and more importantly, how to debug and test a design, using laboratory test equipment, to convert an idea into working hardware.

CE294-5-SP
Introduction to Digital Signal Processing
(15 CREDITS)

This module introduces fundamental concepts of digital signal processing and their applications in the analysis of biomedical signals. It describes how signals can be represented as digital waveforms, explores the application of digital filtering techniques to enhance noisy signals, and looks at analysis of signals in both the time and frequency domains. Additionally, the module explores the extraction of biomedical signal characteristics for classification tasks. The module is designed to teach Digital Signal Processing to students without prior knowledge of calculus or Fourier analysis. However, you should take an introductory mathematics module to prepare you for this module, such as Mathematics for Computing.

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