Artificial Intelligence

Introduction To Artifical Intelligence Applications

This module will allow students to research various applications of AI application and benefits of Artificial intelligence to enhance productivity and effectiveness of given business / application sectors. Using this research, students will present their findings. The module will also introduce students to the world of AI and several concepts and terminologies that can be used to implement AI applications.

Module code: DCOM40004

Fundamentals Of Artificial Intelligence

Artificial Intelligence is the automation of activities we normally attribute to human thinking and rationality, such as problem-solving, decision-making, and learning. AI lives within the intersection of many classic disciplines, including philosophy, neuroscience, behavioural economics, computer science, and mechanical engineering. This module introduces students to the basic principles, and techniques of AI. Emphasis will be placed on the teaching of those fundamentals, and an assigned project to promote a ‘hands-on’ approach for understanding, as well as a challenging avenue for exploration and creativity.

Module code: DCOM40003

Chatbots And Intelligent Systems

This module provides a broad ranging discussion of Artificial Intelligence techniques and principles, and knowledge of allied domains to aid students in designing applications for chatbots and intelligent systems that enrich and provide a natural implementation of human to computer interaction. Students will also become experienced in implementing Chat Bot and Intelligent System applications.

Module code: DCOM40006

Managing Information Systems

Data is collected from each of us many times a day perhaps through using social media or purchasing a product online. Information systems are used to store this data and generate information. This module will provide students with an understanding of the importance of information and the significance of managing the systems that are used to generate and store it. Learning will be complemented by an understanding of relevant legislation and issues associated with information systems.

Module code: DCOM40005

Programming And Problem Solving

In this module students will learn key programming and problem-solving skills and techniques. They will be able to draw upon these as they progress through University and on into a professional career. Students will be introduced to these as they progress through the module, building their knowledge through practical application. They will be guided through solving problems with feedback and encouragement so that they can reach their potential. They will learn how to break a problem down using a formalised process. They will learn how to design solutions and then implement them in a programming language.

Module code: DCOM40002

Application Architecture

Students will learn about how devices and services relate and work together. In the module we will explore hardware, virtualisation and cloud systems enabling students to explore the different areas of technology within computing and identify core elements within the field to make an informed choice for purchasing, designing, and developing systems. In addition to these core skills students will further bolster their mathematical skills in order to apply them later in the course.

Module code: DCOM40001

Cyber Security For Al And Data Management

Module code: DCOM50016

Ai Applications (Healthcare Systems)

This module will introduce students to AI applications and their key elements. Students will learn about human and artificial intelligence and various AI techniques such as evolutionary systems, fuzzy inference systems, machine learning, neural/hybrid systems, and data mining concepts. The aim of teaching theory-based elements on the module is that students take these and design and implement an AI / Intelligent system solution to a given problem scenario as applied to Healthcare Systems.

Module code: DCOM50005

Machine Learning

Module code: DCOM50001

Software And Web Development

This module teaches about web applications devices from both design, implementation, and testing perspectives? In this module we will explore the technologies and standards within the field to make an informed choice for designing, developing, and testing software and web applications for artificial intelligence and data management. In addition to these core skills students will further their programming skills to apply them to their desired specialism.

Module code: DCOM50003

Decision Analytics (Healthcare Systems)

This module looks at Data Mining algorithms, Big Data Analytics, and related technologies as the background to aid decision making. Students will be able to build skills with the R statistical software package or can choose to work in the Weka environment. They will look at the wider issues of working with data mining in a business context and at the challenges presented by Big Data and Big Data Analytics.

Module code: DCOM50030

Commercial Computing (Healthcare Systems)

Commercial Computing is about students developing a digital technology solution for a 3rd party live brief. Students will work in a group to identify the needs of the brief and develop a potential solution and present it back to the Engineering client for approval. They will run the project; will choose the technologies that will be used to develop the prototype solution and evaluate its success based on their understanding of the 3rd parties’ requirements. On completion of the project they will critically evaluate the performance of the team. There will be a series of project options available that will allow students to further develop their knowledge of technology projects in the context of their chosen pathway, i.e. Healthcare Systems.

Module code: DCOM50012

Ai Applications (Engineering Projects)

This module will introduce students to AI applications and their key elements. Students will learn about human and artificial intelligence and various AI techniques such as evolutionary systems, fuzzy inference systems, machine learning, neural/hybrid systems, and data mining concepts. The aim of teaching theory-based elements on the module is that students take these and design and implement an AI / Intelligent system solution to a given problem scenario as applied to Engineering Projects.

Module code: DCOM50033

Commercial Computing

Commercial Computing is about students developing a digital technology solution for a 3rd party live brief. Students will work in a group to identify the needs of the brief and develop a potential solution and present it back to the Engineering client for approval. They will run the project; will choose the technologies that will be used to develop the prototype solution and evaluate its success based on their understanding of the 3rd parties’ requirements. On completion of the project they will critically evaluate the performance of the team. There will be a series of project options available that will allow students to further develop their knowledge of technology projects in the context of their chosen pathway.

Module code: DCOM50037

Decision Analytics (Engineering Projects)

This module looks at Data Mining algorithms, Big Data Analytics, and related technologies as the background to aid decision making. Students will be able to build skills with the R statistical software package or can choose to work in the Weka environment. They will look at the wider issues of working with data mining in a business context and at the challenges presented by Big Data and Big Data Analytics.

Module code: DCOM50027

Commercial Computing (Engineering Projects)

Commercial Computing is about students developing a digital technology solution for a 3rd party live brief. Students will work in a group to identify the needs of the brief and develop a potential solution and present it back to the Engineering client for approval. They will run the project; will choose the technologies that will be used to develop the prototype solution and evaluate its success based on their understanding of the 3rd parties’ requirements. On completion of the project they will critically evaluate the performance of the team. There will be a series of project options available that will allow students to further develop their knowledge of technology projects in the context of their chosen pathway, i.e. Engineering Projects.

Module code: DCOM50010

Ai Applications

This module will introduce students to AI applications and their key elements. Students will learn about human and artificial intelligence and various AI techniques such as evolutionary systems, fuzzy inference systems, machine learning, neural/hybrid systems, and data mining concepts. The aim of teaching theory-based elements on the module is that students take these and design and implement an AI / Intelligent system solution to a given problem scenario.

Module code: DCOM50036

Decision Analytics

This module looks at Data Mining algorithms, Big Data Analytics, and related technologies as the background to aid decision making. Students will be able to build skills with the R statistical software package or can choose to work in the Weka environment. They will look at the wider issues of working with data mining in a business context and at the challenges presented by Big Data and Big Data Analytics.

Module code: DCOM50038

Ai Applications (Logistics And Distribution)

This module will introduce students to AI applications and their key elements. Students will learn about human and artificial intelligence and various AI techniques such as evolutionary systems, fuzzy inference systems, machine learning, neural/hybrid systems, and data mining concepts. The aim of teaching theory-based elements on the module is that students take these and design and implement an AI / Intelligent system solution to a given problem scenario as applied to Logistics & Distribution.

Module code: DCOM50007

Commercial Computing (Logistics And Distribution)

This module will introduce students to AI applications and their key elements. Students will learn about human and artificial intelligence and various AI techniques such as evolutionary systems, fuzzy inference systems, machine learning, neural/hybrid systems, and data mining concepts. The aim of teaching theory-based elements on the module is that students take these and design and implement an AI / Intelligent system solution to a given problem scenario as applied to Logistics & Distribution.

Module code: DCOM50013

Decision Analytics (Logistics And Distribution)

This module looks at Data Mining algorithms, Big Data Analytics, and related technologies as the background to aid decision making. Students will be able to build skills with the R statistical software package or can choose to work in the Weka environment. They will look at the wider issues of working with data mining in a business context and at the challenges presented by Big Data and Big Data Analytics.

Module code: DCOM50031

Ai Applications (Games Design And Development)

This module will introduce students to AI applications and their key elements. Students will learn about human and artificial intelligence and various AI techniques such as evolutionary systems, fuzzy inference systems, machine learning, neural/hybrid systems, and data mining concepts. The aim of teaching theory-based elements on the module is that students take these and design and implement an AI / Intelligent system solution to a given problem scenario as applied to Games Design & Development.

Module code: DCOM50006

Commercial Computing (Games Design And Development)

This module will introduce students to AI applications and their key elements. Students will learn about human and artificial intelligence and various AI techniques such as evolutionary systems, fuzzy inference systems, machine learning, neural/hybrid systems, and data mining concepts. The aim of teaching theory-based elements on the module is that students take these and design and implement an AI / Intelligent system solution to a given problem scenario as applied to Games Design & Development.

Module code: DCOM50011

Decision Analytics (Games Design And Development)

This module looks at Data Mining algorithms, Big Data Analytics, and related technologies as the background to aid decision making. Students will be able to build skills with the R statistical software package or can choose to work in the Weka environment. They will look at the wider issues of working with data mining in a business context and at the challenges presented by Big Data and Big Data Analytics.

Module code: DCOM50029

Ai Applications (Retail And Customer Experience)

This module will introduce students to AI applications and their key elements. Students will learn about human and artificial intelligence and various AI techniques such as evolutionary systems, fuzzy inference systems, machine learning, neural/hybrid systems, and data mining concepts. The aim of teaching theory-based elements on the module is that students take these and design and implement an AI / Intelligent system solution to a given problem scenario as applied to Retail & Customer Experience.

Module code: DCOM50008

Decision Analytics (Retail And Customer Experience)

This module looks at Data Mining algorithms, Big Data Analytics, and related technologies as the background to aid decision making. Students will be able to build skills with the R statistical software package or can choose to work in the Weka environment. They will look at the wider issues of working with data mining in a business context and at the challenges presented by Big Data and Big Data Analytics.

Module code: DCOM50032

Commercial Computing (Retail And Customer Experience)

Commercial Computing is about students developing a digital technology solution for a 3rd party live brief. Students will work in a group to identify the needs of the brief and develop a potential solution and present it back to the Engineering client for approval. They will run the project; will choose the technologies that will be used to develop the prototype solution and evaluate its success based on their understanding of the 3rd parties’ requirements. On completion of the project they will critically evaluate the performance of the team. There will be a series of project options available that will allow students to further develop their knowledge of technology projects in the context of their chosen pathway, i.e. Retail & Customer Experience.

Module code: DCOM50014

Digital Transformation (Healthcare Systems)

Module code: DCOM60018

Innovations In Artifical Intelligence

Module code: DCOM60022

Ethics And Legal Regulation Of Artificial Intelligence And Data Management

Module code: DCOM60021

Ai Capstone Project (Healthcare Systems)

Module code: DCOM60003

Micro-Certifications And Personal Development

Module code: DCOM60012

Ai Capstone Project (Engineering Projects)

Module code: DCOM60001

Digital Transformation (Engineering Projects)

Module code: DCOM60016

Digital Transformation

Module code: DCOM60028

Ai Capstone Project

Module code: DCOM60027

Ai Capstone Project (Logistics And Distribution)

Module code: DCOM60004

Digital Transformation (Logistics And Distribution)

Module code: DCOM60019

Digital Transformation (Games Design And Development)

Module code: DCOM60017

Ai Capstone Project (Games Design And Development)

Module code: DCOM60002

Digital Transformation (Retail And Customer Experience)

Module code: DCOM60020

Ai Capstone Project (Retail And Customer Experience)

Module code: DCOM60005

Group Project

Working in Teams on Projects is what so much of computing is about, this module given you the opportunity to develop your team working skills. You will explore some of the theories about teams and group work and importantly use them to inform your behaviour whilst working on a group project. You will identify an organisation to base your work around and produce an application to support their activity. Groups will be made up of students with interests in many areas of computing so the chance to draw on each others interests will enhance the potential solutions to the organisations you work with. Finally you will reflect on the successes and challenges of working in groups with an increase toolset for future collaborative activity.

Module code: COMP30001

Web Technology And Programming

This module will introduce you to web and programming techniques and develop your practical skills to enhance your employability in the growing area of software development. In studying the module, you will create solutions to computing problems you have been set. You will study web standards, design, implementation, and testing strategies.¿

Module code: COMP30004

Networking, Statistics And Probability

This module introduces a variety of topics to build your skills and understanding of networking and maths. The course also introduces networking devices and the iOS operating system (other OS can be used). You will learn how networks are set up, how devices are configured, how communication takes place on a network, and the basics of implementing network security best practices. This will enhance your confidence in communicating your knowledge and with working with networking-related professions. This course includes activities that expand on the course material presented. The module also covers maths, statistics and probability in order to develop required skills for future degree study.

Module code: COMP30002

Study Skills And Professional Development

This module is designed to help you to acquire the skills you will need to develop and succeed both academically and as a professional practitioner. The focus is on your personal and professional development. You will be encouraged and supported in the creation of a portfolio to record aspects of your academic and personal skills. The module also identifies and explores ethical, legal, communication, and other non-technical factors that contribute to the success (or failure) of the development of IT systems in a professional environment. It introduces fundamental skills and knowledge that will help prepare you for professional employment or for business start-up.

Module code: COMP30003