Computer Engineering
Electronic and Computer Engineering
Year 5
Computer Engineering (D)
The full set of modules available to Computer Engineering students can be found on the Engineering Year 5 website. These include the following modules from the School of Computer Science and Statistics:
CS7CS3 – Advanced Software Engineering
(Semester 1 & 2, 10 ECTS) Assess the theory of classic architecture principles and apply an appropriate architectural model in a team-based application under development
CS7CS4 – Machine Learning
(Semester 1, 5 ECTS) Understand what machine learning is and how it works.
CS7DS2 – Optimisation Algorithms for Data Analysis
(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.
CS7DS4 – Data Visualisation
(Semester 1, ECTS 5) This module aims to equip the student with the knowledge and tools to visualise data in ways that give insight and understanding.
CS7GV2 – Mathematics of Light and Sound
(Semester 1, 5 ECTS) Wave equation and its solution; Maxwell´s equations; Fourier transform and analysis; vibration; mass-spring-damper systems; numerical methods; simulation software.
CS7GV3 – Real-Time Rendering
(Semester 2, 5 ECTS) This module deals with programming for GPU pipeline architectures e.g. geometry,
rasterisation, texturing, fragment / pixel and vertex shaders.
CS7GV5 – Real-Time Animation
(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.
CS7IS1 – Knowledge and Data Engineering
(Semester 1, 5 ECTS) The module is designed to explore the management, delivery and inter-operability of knowledge, information and data through knowledge and data engineering.
CS7IS2 – Artificial Intelligence
(Semester 2, 5 ECTS) Appreciate the scope, applications and limitations of artificial intelligence;
CS7IS3 – Information Retrieval and Web Search
(Semester 1, 5 ECTS) Explain the process of content indexing in information retrieval including stop word removal, conflation (stemming, string-comparison), and the language dependency of these methods.
CS7NS1 – Scalable Computing
(Semester 1, 5 ECTS) This module aims to provide a theoretical and practical understanding of modern scalable systems and architectures, from billions of highly distributed Internet of Things devices, through to present and future concepts, such as Quantum and Nanotech systems.
CS7NS2 – Internet of Things
(Semester 2, 5 ECTS) In this module, students will explore the prevailing vision for an Internet of Things in
a practical, pragmatic manner.
CS7NS4 – Urban Computing
(Semester 1, 5 ECTS) This module aims to provide both a theoretical and practical understanding of urban
computing and associated cyber-physical concepts, principles, challenges and
solutions.
CS7NS5 – Security and Privacy
(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.
CSP55031 Open Configurable Networks
Module CodeCSP55031/EEP55C26Module NameOpen Configurable NetworksECTS Weighting [1]5 ECTSSemester TaughtSemester 1 Module Coordinator/s Marco Ruffini, Shreejith Shanker Module Learning Outcomes On successful completion of this module, students should be able to:…
CSP55E02 Engineering Research Project
Module Code CSP55E02 Module Name Engineering Research Project ECTS Weighting [1] 30 ECTS Semester Taught Semester 1 & 2 Module Coordinator/s Paula Roberts Module Learning Outcomes On successful completion…
CSU55001 – Fuzzy Logic & Control Systems
(Semester 1, 5 ECTS) This course will introduce you to the exciting new field of fuzzy systems and the related topics in machine learning and the so-called deep learning neural nets.
CSU55004 – Formal Verification
(Semester 1, 5 ECTS) Specification languages and logics; axiomatic program semantics. Formal proof
systems to verify software and system properties such as propositional, predicate
and Hoare logic.
Electronic and Computer Engineering (CD)
The full set of modules available to Electronic and Computer Engineering students can be found on the Engineering Year 5 website. These include the following modules from the School of Computer Science and Statistics:
CS7CS4 – Machine Learning
(Semester 1, 5 ECTS) Understand what machine learning is and how it works.
CS7GV3 – Real-Time Rendering
(Semester 2, 5 ECTS) This module deals with programming for GPU pipeline architectures e.g. geometry,
rasterisation, texturing, fragment / pixel and vertex shaders.
CS7GV5 – Real-Time Animation
(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.
CS7IS1 – Knowledge and Data Engineering
(Semester 1, 5 ECTS) The module is designed to explore the management, delivery and inter-operability of knowledge, information and data through knowledge and data engineering.
CS7IS2 – Artificial Intelligence
(Semester 2, 5 ECTS) Appreciate the scope, applications and limitations of artificial intelligence;
CS7IS3 – Information Retrieval and Web Search
(Semester 1, 5 ECTS) Explain the process of content indexing in information retrieval including stop word removal, conflation (stemming, string-comparison), and the language dependency of these methods.
CS7NS2 – Internet of Things
(Semester 2, 5 ECTS) In this module, students will explore the prevailing vision for an Internet of Things in
a practical, pragmatic manner.
CS7NS5 – Security and Privacy
(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.
CSU55004 – Formal Verification
(Semester 1, 5 ECTS) Specification languages and logics; axiomatic program semantics. Formal proof
systems to verify software and system properties such as propositional, predicate
and Hoare logic.