BSc (Hons) Applied Computer Science

CITY3111
Individual Project

The individual project gives students an opportunity to tackle a major applied computing related problem in an approved industrial related topic. Statistical methods applicable to the project will be included at the start of the course of study as well as the ethics involved. Students are expected to spend a minimum of 400 hours of time on their individual project. In addition, regular meetings with an allocated project supervisor will be scheduled for the duration of the individual project.

CITY3112
High-Performance Computing

High Performance computing is prevalent in all sectors (academia, government and industry) in today's world of computerisation. Some examples are weather simulation, prediction, and that of the development of sensitive instrumentation systems. This module will provide a grounding in this subject area and an insight into its applications.

CITY3113
Project Management

This module will build understanding of the key themes in project management and the generic methodologies, tools and techniques used in professional practice. Further, it will deliver practical knowledge through professional theory, example and practice of project design, control and change techniques, culminating in a Dragons Den style practical presentation to an Industry panel.

CITY3114
Machine Learning and AI

Modern Society is data-rich and there is a need to make sense of datasets of increasing complexity and size, from a broad spectrum of application areas in industry, healthcare, and academia. This module will introduce both supervised and unsupervised machine learning principles and practical methods for learning from real data. There is scope for applied project work with industry who can provide datasets for students.

CITY3115
Bio-Inspired Computing

Bio-inspired computational algorithms are increasingly used to solve a variety of problems and in particular they may be applied to scenarios where pattern recognition and intelligence are required. The algorithms themselves have been created from observing biological mechanisms in nature. There is scope for project work with industry and government organisations who can provide annotated datasets for students

CITY3116
Advanced Computer Forensics and Security

Using Open Web Application Security Protocol (OWASP) Top Ten benchmarks, students investigate Cyber Physical Systems and applications in instrumentation and critical infrastructure networks. By their very nature such systems require a different security posture. Students are introduced to the ensuing Security and forensic challenges through theoretical and practical experimentation using raspberry pi and data science mitigation implementations.