This module aims to provide learners with an understanding of the principles of programming. It introduces learners with an overview of the range of environments and approaches to developing applications based on the varying needs, technologies, and requirements. The module introduces the fundamental concepts of programming and exposes the learners to a high-level programming language to develop skills in reading and understanding the structure and logic of programs.

1. Analyse and Model solutions to a range of small given problems
2. Select appropriate data types, operations and expressions based on given problems
3. Create, edit, compile, execute and test simple programs using an integrated development environment
4. Find and fix syntax errors from a range of given programs
5. Trace and report the output from the execution of sections of code written in a high – level programming language
6. Identify , select and use suitable libraries and methods to solve small given problems

This module provides a theoretical examination of interaction design. It will deliver a foundation for future design work in, multiple modalities and various contexts. It will also introduce the student to methods for capturing feedback data on interactions in the digital space.

Students will be asked to write short papers on emerging interaction practices and their implications. They will deliver paper-based plans for solutions to interaction problems. With other class mates they will set up a data gathering scenario pertaining to interaction design.

The module is structured around a contemporary view of human computer interaction, its modes and contexts. It will engage the student user centric design practices and modern methods for data gathering in that domain.

1. Identify and understand interaction axioms.
2. Consider the implications of interaction axioms on future interface solutions.
3. Critique the process of data gathering in interaction-based scenarios.
4. Evidence competency in the design and set up of user centric tests.
5. Gather and analyse feedback data from user texting.
6. Design a solution to an interaction-based problem.

This module introduces the student to research methods, with a primary focus on statistics. Students will learn the knowledge required to use SPSS to conduct statistical analyses and to apply and interpret statistical tests. Students will gain an understanding of the research process and the design of experimental research.

1. Apply the underlying principles and assumptions of Statistics
2. Select, apply and interpret appropriately Statistical Tests according to specific real-life scenarios
3. Apply and use proficiently SPSS to load, clean and prepare a dataset
4. Employ SPSS to explore the data and perform Statistical data analysis
5. Use SPSS to apply and interpret statistical tests

Students should become sensitized to the ethical and social implications of the growing use of computers and will develop an understanding of the legal issues inherent in the discipline of computing. In addition, the student will understand the key elements involved on designing research in computing that is ethical.

1. Evaluate the utility of philosophical ethical theories in solving computer related ethical issues.
2. Examine what it means to be professional at work, in conduct and practice.
3. Discuss the consequences of pertinent legal and social issues on software development and the role of relevant enforcement organisations.
4. Evaluate current computer-based threats.
5. Distinguish the key elements involved on designing ethical Research in Computing

This subject will introduce the learners scripting with Python. Learners will design and implement object-oriented programs for handling the administration of business cases in server systems. At the end, the student will be able to create scripted programs which apply basic error handling/debugging and best practices.

1. Create scripts implementing data structures as appropriate to the business use case
2. Create objects which implement object relationships with reference to efficient code
3. Apply basic error handling/debugging techniques in scripted programs
4. Use best practices to create scripted programs

This module provides an understanding of context and methodology for contemporary software design in the mobile context. It explains the shift from a purely functional software design model to software design as part of complex socio-technical contexts. Students will be asked to think deeply on design solutions regarding the computer interface and how it can best be deployed to the demands of modern users and applications.

The module is structured around a contemporary design methodology suited to user focused application development. It will engage the student in user focused testing strategies and the practice of responding to those strategies. It will educate the student in communication practices that facilitate collaborative work in this domain. The student will apply a UX design strategy to a given software interface problem in team workshops. Almost half of the module will be occupied by these workshops.

1. Identify, analyse and consider the implications of an emerging technology for the human computer interface.
2. Employ a UX methodology in the design of an application solution.
3. Make reasoned and researched design decisions so as to enhance the users understanding of the underlying conceptual model.
4. Evidence a deep understanding of the mobile context in that treatment.
5. Evidence comprehension and application of user based testing strategies through interviews and user centred practical sessions.

This module provides students with an opportunity to explore the types of problematic behaviour which can emerge online and critically evaluate the underlying psychological theory and research which defines them. Digital spaces can create an anonymous and depersonalised space which can accentuate negative behaviours including prejudice, deception and extreme expressions of emotion. The module will focus upon why people behave inappropriately online and consider relevant psychological theory.

1. Analyse how online environments provide conditions for inappropriate behaviour.
2. Review current thinking on digital addictions and the underlying psychological theory. 
3. Review current thinking on cyberbullying, critically evaluating research in the area. 
4. Critique the activities and motivations for crime within digital technologies and the underlying psychological theory.  

This module explores online leisure activities such as social media, online streaming, dating, and gaming. It analyses areas such as the positive and negative impact of social media on behaviour, the shift to online streaming, how service providers use consumer psychology to attract and retain customers, and the psychology of online relationships including attraction and self-presentation online. It also explores how online gaming utilises biological responses in game design to enhance engagement.

1. Describe the impact social media has on various area of life
2. Outline the growth and impact of online streaming services and discuss the impact
3. Explore the psychology of online dating
4. Explain the psychology involved in online gaming

This module aims to give students operational experience of design and implementation of information systems. Students should also be exposed to a professional working environment with the objective of maximising their employability and future career prospects whilst providing employers with highly capable staff who can demonstrate and apply their technical skills to real-world situation. As a minimum student will be expected to complete a 35-week placement.

1. Work as part of a team in the design and development of information systems and related projects in commercial industry.
2. Identify, explore and make informed judgements relating to the work tasks/project on which they work.
3. Prepare a log book of their daily activities reflecting on personal professional practices appropriate in an industry setting.
4. Prepare a report on the work undertaken during the placement.
5. Apply reflective learning as part of their personal and professional practice
6. Apply research, information gathering, critical analysis, design and implementation techniques appropriately and effectively.
7. Communicate effectively in order to enhance the understanding and engagement of a professional audience.

The objective of this module is to provide the student writer with a detailed exposure to the general process of academic writing and to then relate this general process to the specific process of writing an academic report in the computing domain.

1. Develop a research specification which includes a research question and corresponding thesis,
2. Gather, evaluate and synthesise high quality evidence to support their thesis,
3. Plan and implement a writing strategy which is logically and rhetorically correct for the writing task
4. Critically review and revise initial drafts of the document against the research specification, against the conventions of academic writing and against the usual standards of grammar and style.

This module will examine business reporting and visualisation by introducing the student to fundamental design principles and techniques for creating meaningful visualisations of quantitative and qualitative data to facilitate business decision making. At the end of this module, the student should be able to collect and process data, create interactive visualisations and demonstrate how it provides insight into managerial decision making.

1. Define the role of business reporting and data visualisation and discuss its evolution, value and importance.
2. Critique existing visualizations based on data visualisation theory and principles and design and create new data visualisations.
3. Apply data transformations such as aggregation and calculations for visualisation.
4. Examine the capabilities and limitations of dashb0ards.
5. Develop competency in the use of an industry standard tool to prepare and present effective visualisations for various user needs.

Software engineering is an engineering discipline which is concerned with all aspects of software production, it is concerned with theories, methods and tools for professional software development. This module builds on what learners have already covered in previous modules and teaches the discipline of software engineering. Learners will evaluate the engineering methods, processes, techniques and measurements which are part of software engineering.

1. Compare and contrast software process models, including considerations of agile methodologies where relevant, and select a suitable software process model for use on a software project.
2. Evaluate quality in the software process and process improvement initiatives.
3. Appraise software quality models.
4. Establish a software measurement programme.
5. Manage software configuration for a software project.

The goal of Artificial Intelligence (AI) is to develop and implement machines that behave as though they are intelligent and have the capability to solve problems that are normally associated with the higher intellectual processing capabilities of humans. To achieve this feat, AI systems can become convoluted, causing potential problems with decision transparency and ethical responsibility. This raises fundamental questions about our responsibility towards these systems, how they should behave, what risks they can create, and how we can control them.

This module will provide the student with a good understanding of some tools used for AI development and implementation. The student will gain a comprehensive understanding of the components of an AI system. Furthermore, the student will explore the importance of ethical behaviour of an AI system, and the importance of ethical responsibility within such systems.

1. Appraise and debate the role of Artificial Intelligence for human interaction.
2. Explain the importance of ethical responsibility within Artificial Intelligence.
3. Explain, analyse, and examine key components required to successfully build an AI system.
4. Examine the procedures needed to pre-process and align data for AI automation whilst controlling and evaluating data ethics.
5. Examine and assess the ethical effectiveness, bias, and responsibility of an AI system

This module will give students practice in academic research with the freedom to express their personal interests in the field of computing. Students will gain an appreciation of iterative development, critique and an ability to devise a plan for practical development.

1. Identify and evaluate emerging trends from information sources and present findings.
2. Develop and document detailed aims and objectives from preliminary research.
3. Critically analyse and evaluate pertinent literature succinctly.
4. Analyse advancements in technology with regard to globalisation.
5. Develop and document a design solution using appropriate methodologies for the field of study.
6. Develop and present a prototype of high academic and technical standard.

This module will teach students to design and develop pervasive Mobile Apps via a web based app builder. The student will learn key coding concepts through visual programming, while demonstrating the ability to solve problems using a mobile methodology incorporating sensors and interacting with on-board applications, data stores and Web APIs.

1. Analyse the concepts and implications of mobile and pervasive computing
2. Design and deploy a mobile application using a web based visual programming environment
3. Critique the concept of using mobile design methodologies along with sensors and on-board applications to build context aware, pervasive applications
4. Create applications that connect to IoT devices and web services
5. Apply the design and development decisions that need to be considered when developing for mobile versus more traditional environments.
6. Use persistent data and connect to Web APIs

This module will introduce students to key technologies and concepts – Augmented Reality (AR), Virtual Reality (VR) and Artificial Intelligence (AI) – related to the Cyberpsychology field. It aims to provide an overview of the current state of the art, their features, benefits, concerns/implications, barriers, and applications in the Psychology and mental health fields.

1. Contrast the use of the key technologies – AR, VR, and AI – in Psychology and mental health. 
2. Examine the benefits of AR and VR for Cyberpsychology. 
3. Examine the benefits of AI for Cyberpsychology. 
4. Assess the concerns and implications of AI for Cyberpsychology. 
5. Appraise and criticise the different applications of AR and VR in Psychology and mental health 
6. Appraise and criticise the different applications of AI in Psychology and mental health 

This module considers the interactions between individuals and digital technologies within the areas of health, education and employment, informed by relevant psychological theory. The module provides students with an opportunity to develop an understanding of the psychological processes underlying and influencing the thinking, interpretation and behavior associated with this online interconnectivity in these specified areas.

1. Evidence an understanding of the interactions between individuals and digital technologies applied to health.
2. Evidence an understanding of the interactions between individuals and digital technologies applied to education.
3. Evidence an understanding of the interactions between individuals and digital technologies applied to employment.
4. Critically evaluate relevant research in relation to the psychology of online interactions within the areas of health, education and employment, with a focus upon applying theory and evidence-based practice to real world problems and consideration of the context of Covid-19.

This module will provide the student with an in-depth understanding of the theoretical and applied concepts and frameworks related to data analysis and data visualisation. Data analysis and data visualisation principles and techniques will be explored as a means for creating meaningful stories and visualisations. At the end of this module, the student should proficiently produce effective business presentations/visualisations to showcase the data story using Tableau.

1. Apply foundation knowledge and narrative frameworks to assess and create effective data visualizations
2. Explore the data and interpret the findings visualisations (organise data and structure analysis under a storytelling framework)
3. Design purposefully curated data visualisations
4. Design effective business presentations/visualisations to showcase the data story with Tableau

This module will offer the student the opportunity to present the synthesis of their computing skills through a personally chosen and independently developed artefact and supplementary document. Project Development will encourage independent investigation, design skills, revision and reflection on a specific area of computing science relevant to the student's course of study. The artefact should be a direct response to a research investigation carried out in semester seven.

In the submission of an accompanying document, it is expected the student will evidence the employment of an appropriate design methodology, critical thinking and problem solving with regard to issues raised during development. The excellent student will synthesise material from modules they have taken over their course of study and bring this knowledge to bear on their chosen topic.

1. Carry out independent technical investigation
2. Choose and apply an appropriate design methodology for the development an artefact
3. Apply effective design and development skills.
4. Deliver a project report to good academic standards.
5. Deliver a comprehensive presentation on the conception, research, design and development phases which led to their artefact.

This module explores the factors that influence online consumer behaviour. Students will study theories of online consumer psychology while learning of the impact our social circle, both offline and online, have on our consumer decisions.

Consumer perception, persuasion, motivation and decision making will be examined. Additionally, the accelerated growth of Electronic and Social Commerce, particularly following the Covid-19 pandemic, will be evaluated. This will include examination of the marketing strategies such companies use to attract customers and maintain the online relationships via mechanisms such as electronic customer relationship management.

1. Explain the fundamental aspects of online consumer psychology
2. Describe the key aspect of the online consumer decision making process
3. Assess the role of influencers, family, friends, media and culture in online consumer behaviour
4. Explain the historic development, growth and strategies of social commerce and online retailers
5. Appraise the use and importance of Electronic Customer Relationship Management (eCRM)

This module provides an overview of the CyberLifeSpan from childhood to old age. Having developed a good knowledge base of core areas of psychology, particularly developmental psychology and behavioural psychology, students will be afforded an opportunity to apply their understanding across the lifespan.

The focus will be upon the relationship between psychology and technology within a developmental psychology perspective. Consideration will be given to the impact of internet and online applications upon individuals. Digital technology is embedded in everyday life across the lifespan. How digital experiences develop / impact / present across the lifespan will be considered with a clear shift away from the 'good' or 'bad' debate.

1. Assess human interaction across the lifespan with digital technology through the application of theories of developmental psychology focusing upon childhood and adolescence. 
2. Apply critical thinking using theories of developmental psychology to the issues of human development in the digital space.  
3. Make critical evaluations of inappropriate online behaviour based on theories from behavioural psychology
4. Reflection upon digital life, both self-reflection and consideration across the lifespan