This module provides a solid foundation in Object Oriented Concepts and introduces advanced topics in the Java programming language.

1. Have knowledge and understanding of Object Oriented Methodologies and associated Object Oriented Language

2. Create class hierarchies using the object-oriented design process

3. Use an integrated development environment to write,compileand run programs in an Object Oriented Language.

4. Design and implementprograms in an Object Oriented language for complex problems, making good use of the Object Oriented features of the language.

This module introduces the student to cross-platform development principles, tools and languages that are used to develop applications for multiple platforms using a single code base.

1. outline code sharing paradigms available for cross-platform development.

2. design simple applications focusing on a good user experience.

3. implement and deploy simple applications across multiple platforms, independent of physical form and input mechanisms.

4. incorporate and use third party libraries to implement functionality in a cross-platform application.

This module introduces the student to Information System development and the role the Systems Analyst plays in this development. It will provide the student with a foundation in the concepts, techniques and methodologies used in Information Systems Development.

1. Gain an understanding of Information Systems Development.
2. Have a solid foundation in the concepts, techniques and methodologies used in Information Systems Development.
3. Students will gain an appreciation of the role of the Systems Analyst in thedevelopment of Information Systems Development.

This module aims to introduce students to modern computer networking concepts, protocols, technologies and utilities. This module focuses on the lower 3 layers of the OSI model, Physical, Data Link and Network, looking at these networking protocols. Students will build, configure and test "virtual networks".

1. Demonstrate ability to configure, test and deploy a medium sized LAN.

2. Understand modern Physical network technologies, fibre optics, co-axial, copper

3. Identify functionality of various networking elements, switches, Routers

4. Configure DHCP, DNS and various other virtual servers

5. Understand IPv4 addressing including Public / private addresses, CIDR, NAT / PAT

The objective of this module is to provide the student with the tools and skills to communicate effectively in the modern software/ computing organisation using appropriate professional tools, digital technology / software and digital writing skills. This module will include local IT Company presentations, opportunities to work as a TEAM using collaborative software, create a positive digital footprint by creating a digital blog/ e-portfolio, This module will prepare the student for work placement / career in IT.

1. Have attained sufficient information and knowledge in presentation skills, digital writing , interpersonal skills and communication skills to work effectively and professionally in a modern software/ computing organisation.

2. Enhance the ability to work effectively in a team, using modern software tools and appropriate communication skills to work effectively on a technology project and present the findingsvia a class presentation, using modern presentation software.

3. Develop employability skills and career planning strategies to ensure preparation for work placement / working in a technology company

4. Assess the greater role that privacy, securityand legislation hasin modern digital communication, including concept of digital footprint

5. Develop Problem Solving / Critical thinking skills enabled by cloud technology applicationseg Wireframe sware / Mockup Sware/ Content Flowcharts rtc for professional digital communication

This module is intended to introduce the student to a procedural programming language. The module deals with programming constructs of the procedural language and positions the programming language in the context of the software development world.

1. The student will have knowledge and understanding of procedural language programming.
2. Be competent in the use of the basic constructs of the programming language.

3. Develop algorithms using appropriate techniques to solve a range of problems.

4. To design and implement an algorithm using the procedural programming language.

This module provides the learner with programmatic problem solving skills, by developing a knowledge of computer algorithms and data structures.

1. Solve computational problems using standard data structures.
2. Understand how to analyse and measure the performance of an algorithm.
3. Think in abstract ways about computational problems and applying the knowledge learned in this module to a solution.

4. Solve a computational problem by writing a computer programme that applies one or more of the algorithms and data structures described in this module.

This module provide a general introduction to front end web application building and covers specific techniques for stand alone web development using an IDE.

1. Demonstrate proficiency of the basicbuilding blocks of a front end webapplication development framework/library.

2. Demonstrate proficiency ofthe programming constraints that apply when developing front end web applications.

3. Design, develop and deploy a stand alone front end web application using an Integrated Development Environment (IDE)

4. Recognise and employ real-world best practices in developing front end web applications.

This module provides an introduction to the field of databases. It covers the theory of their design, construction and manipulation through the Structured Query Language.

1. Understand the limitations of the traditional file-based approach and how database systems overcome these limitations.
2. Demonstrate knowledge and understanding of the components and the typical functions of Database Management Systems.
3. Demonstrate familiarity with the structure, the integrity rules and the manipulation of databases based on the Relational Data Model.
4. Understand the principles of logical database design and will be able to produce a design model using Entity-Relationship(E-R) diagrams and Normalisation.
5. Explain how multi-user databases facilitate concurrent access to data, recover from failures, and implement security policies.
6. Create a Relational Database, write SQL statements to query the data stored in a thisdatabase and connect to this database using a high level programming language.

This module builds on the knowledge and competencies acquired in the previous networking module. This module will focus on networking concepts, protocols, technologies and utilities applicable to the top 4 layers of the OSI model. There is a particular emphasis on networking security protocols.

1. Demonstrate ability to configure, test and deploy a medium sized LAN.

2. Configure a DNS server using a zone file

3. Identify, understand and configure TLS security protocol

4. Understand the role of and functionality provided by Firewalls

This module provides the student with the skills needed to test software and web applications with emphasis on test strategies, test design and test execution and incorporates the Practices and Techniques for ensuring production of good quality software and web applications.

1. Structure the tasks defined in the test strategy in terms of business domain requirements

2. Understand the importance of Quality and be able to determine quality both in an end product and the processes which produce it.

3. Understand the importance of metrics and be able to apply them in a wide range of software development environments.

4. Have a solid understanding of preparation and execution of test activities, including ongoing reporting of progress

5. Provide the necessary evidence to support evaluation

6. Students will gain a knowledge of Software Testing in the following areas and appreciate the role of the Software Tester in conjunction with that of the Software Developer

Testing Processes
Test Management
Test Techniques
Test of Software Characteristics
Reviews
Test Tools and Automation
Test Case Design Techniques
Management of Incident Reporting and Associated Communication between Development and Testing Teams

This module builds on the work done in a Procedural Programming Language and introduces the advanced concepts of memory allocation and deallocation, pre-processor directives, file-handling and complex data structures. The student should have a working knowledge of a Procedural Programming language before taking this module.

1. Have knowledge and understanding of a procedural language programming

2. Be competent in the advanced features of the proceduralprogramming language

3. Understand the implementation of complex data structures in a procedural programming language.

4. Have the ability to organise the overall programming application using advanced techniques.

The principal objectives of this module are to develop an understanding of financial technology (fintech), Global financial systems, financial information systems, advanced reporting techniques, data analytics, insights into database setup. The student will also develop a knowledge of the use of modern financial technology systems (fintech) in a practical context. Relevant cloud based applications are also covered in this context.

1. Understand the principles of financial information systems, financial applications and data analysis software.

2. Understand the global financial system / stock market & use ofdata analytics software to represent data

3. Understand the principles of accounting and the application of these principles in a financial context

4. will be able to demonstrate an understanding of FINTECH ( financial technology) systems including decision support systems (DSS) and advanced data analysis.
5. Develop advanced skills for data analysis using advanced data analytics software ( eg Advanced MSExcel , Powerbi etc )

This module is intended to introduce to Operating Systems and through the use of Virtualisation Technology, their installation and management.

Additionally, this module is intended to introduce the student to the internal management structures of operating systems. The management of processes, memory and other system resources is examined and the student will have a detailed knowledge of the theoretical aspects of operating system design.

1. Demonstrate an understanding of the installation and practical setup of a range of modern operating systems.
2. Demonstrate a competency in the role and application of virtualisation technologies in Cloud Computing.
3. Critically evaluate design and configuration aspects of local, host-based and network operating systems
4. Demonstrate an understanding of the internal process management algorithms used in modern Operating Systems.
5. Understand how external devices communicate with the Operating System and how these devices are categorised, compiled and implemented.
6. Critically evaluate the different approaches taken to resolving Operating System problems like deadlock, memory management and interrupt handling.
7. Demonstrate an understanding of Compilers, Interpreters and Assemblers and their internal workings.

This module is designed to provide students with the knowledge and skills required in order to manage and configure a database management system. .

1. Demonstrate a detailed understanding of the theoretical aspects and principles upon which modern DBMS systems are based.

2. Demonstrate a knowledge and understanding of the role and functions of a Database Administrator (DBA) in the areas such as user management, DB security and recovery.
3. Use SQL and database management tools to build and manage applications in a relational database environment.
4. Effectively and autonomously design, develop and interrogate a Cloud based Database.

5. Store data in a secure (encrypted) format in a database

This module provides the learner with tools and techniques they will need to write secure software, It will also familiarise them with the most common vulnerabilities and how to guard against them.

1. Understandsecure software development frameworks

2. Identify, and guard against, traditional and emerging software attack techniques.

3. Evaluate the security of a modern application.

This module provides the student with the knowledge and skills to develop web applications using modern, industry-standard, architectures and frameworks.

1. Describe modern web application architectures.

2. Develop a web application using industry standard frameworks.

3. Use back-end services in a web application, for example access a database.

4. Apply appropriate testing and security strategies to ensure quality assurance.

This module provides an introduction to the object-oriented paradigm and develops in learners the ability to create loosely coupled, highly cohesive software artifacts comprised of robust, maintainable and reusuable components.

1. Understand the core principles of the object-oriented paradigm and their application to software development.
2. Explain the concepts of abstraction, encapsulation, delegation, composition, inheritance and polymorphism and apply these concepts correctly in an object-oriented design.
3. Implement abstraction, encapsulation, delegation, composition, inheritance and polymorphism in an object-oriented programming language.
4. Use Unified Modelling Language (UML) class, sequence and use-case diagrams to represent the structure, interaction and usage of an object-oriented design.
5. Develop scalable multithreadedapplications using concurrent programming techniques and data structures.

An introduction to modern graphics programming, data visualisation and computer vision libraries.

1. Programmatically create and manipulate image data.

2. Programmatically create interactive and animated 2D and 3D computer graphics.

3. Apply mathematical techniques to create and animate computer graphics.

4. Analyse images data using computer vision algorithms.

5. Create informative and interactive visualisations of data and information

The software placement / internship offers the student the opportunity to apply the knowledge and skills gained throughout the course in a relevant work-place setting and facilitates the student in developing the practical competencies and communication skills necessary to function as an effective team member in the work environment.

In the event of a work placement not being available to a student, the student will be required to undertake the following: Work on a 20-credit team-based software development project. The project will provide the learner the opportunity to gain experience at working on a project similar to one encountered in the software development industry, The project will be on a topic selected from a list, or alternatively one proposed by the student subject to suitability. The project must deal with a task or problem deemed to be of sufficient technical challenge and depth as agreed by an academic supervisor. Students will be encouraged to undertake the project as part of a team to simulate, in as far as possible, an industry placement / internship. Successfully complete the 5-credit Project Management module and demonstrably apply general project management principles to their software development project. Successfully complete the 5-credit Data Representation module and incorporate complex heterogeneous data formats and protocols into their software development project. Present their project to an expert panel constituted from the Course Board and, if possible, a representative from the ICT industry.

A third pathway through Semester 6 is for a student to enrol in an Erasmus exchange programme with an appropriate academic institution subject to approval by the programme board.

1. Contribute as an individual or as a full team member to the design, development, maintenanceor testing of software to solve a real-world problem.

2. Understand the importance of project management and its practical application to the software development process.

3. Use an appropriate development methodology to create or maintain a complex software application.

4. Understand the issues involved in designing,developing and maintaining software that utilises complex heterogeneous data.

This module is designed to enable the student to understand and apply project management concepts, methodologies, tools, and techniques to software development.

1. Have a comprehensive understanding of Project Management in the software industry.

2. Understand the general project management life cycle and general project management knowledge area processes,and how these apply to software development.

3. Understand software development project management concepts, tools, and techniques, as used in thedevelopment ofsoftwareprojects and applications.

4. Apply software development project management concepts, tools, techniques, and skills to a practical project assignment.

5. Have a comprehensive understanding of the Agilemethodology approach to software development, it’s origins, values, principles, approaches, tools, practices, and techniques in relation to the development of a software project.

6. Work both independently and as a team member using industry-standard project management tools and methodologies to navigate the inherent complexity in developing software.

A module in which students will investigate and operate the protocols, standards and architectures used in representing and querying the data that exists across the internet. Students will also gain practical experience in developing applications that interact with such data.

1. Compare data models, formats, and architectures used in applications.

2. Write software applications that adhere to common standards and protocols.

3. Explain the basic mechanisms by which application data is transmitted across the internet.

4. Design and utilise application programming interfaces for interacting with data sources.

This module is designed to provide students with an introduction to the methodologies (and their constituent methods) used to carry out a research project in Computer Science and cognate areas. The module aims to develop the critical thinking skills necessary for students to sift through an abundance of information in search of the pertinent and the factually accurate. The module will provide training and guidance in the application of modern research techniques in the delivery of several targeted assessments.

1. Apply appropriate research methods in the formulation and resolution of a research question.

2. Discuss current challenges and research foci in a selected area of Computer Science.

3. Independently acquire and assess relevant knowledgespecific to a chosenarea of Computer Science.

4. Formally exhibitresearch skills and domain knowledge within an area of Computer Science.

5. Demonstrate an understanding of relevant professional research standards.

An introduction to new and emerging technologies in computing. Technologies such as new paradigms, new programming languages, new infrastructures, and new communications protocols will be investigated.

1. Detect new and emerging technologiesin computing through reputable sources.

2. Contextualise an emerging technology by identifyingitsorigins and proponents.

3. Research an emerging technology in order to use it.

4. Implement a solutionto a computing problemusing an emerging technology.

The module extends the learner's understanding of software design through the explication and critique of software design patterns and metrics for analysing design quality.

1. Develop enterprise software applications using class and package level design principles and best practice.

2. Apply object-oriented design patterns to create reusable and flexible software and enterprise software artefacts.

3. Analyse a complex problem and apply a solution using object-oriented precepts and conventions.

4. Analyse the structural quality of software artefacts using state-of-the-art design metrics.

5. Understand the limitations ofobject-orientation and the role of functional, declarative and multi-paradigm programming styles in modern software development.

This module builds on the cross-platform development skillets with the integration of hardware sensors, design patterns, data sources and cloud-based technologies.

1. designa complexcross-platform application using appropriate design patterns.

2. use both local and remote data sources to manage relevant data for applications.

3. implement complex applications providing a good user experience that can be deployed across multiple platforms independent of physical form and input mechanisms.

4. incorporate advanced sensors and associated data into applications for a more rounded user experience.

Explores fundamental concepts in the design and development of the distributed systems behind modern large-scale applications. Provides learners with the knowledge and skills necessary to design and develop fault-tolerant and scalable distributed systems.

1. Define and discuss the theory and concepts that underpin modern distributed systems.

2. Implement techniques for inter-process communication and data sharing.

3. Develop distributed applications that are fault-tolerant and scalable.

4. Analyse strategies for distributed data storage.

This module examines modern approaches to the planning, design, delivery and maintenance of software systems.

1. Apply the principles and practices of modern software development processes.

2. Identify key patterns in the architecture and design of modern software systems.

3. Develop high-quality software using test-driven techniques.

4. Adopt effective strategies in maintaining, deploying, and securing software systems.

A single semester module in software development for gesture based user interfaces.

1. Understand the different data streams that are available in a gesture based interface and how to use them succesfully
2. understand how skeletal recognition and tracking are used in gesture based interfaces
3. understand how to effectively use gestures and voice to design interactions with systems
4. make gesture and voice into commands for a software system for actions like selection, pan, zoom, targeting and data entry
5. understand multimodal inputs (both synchronous and asynchronous) and be able to program successfully for them
6. understand the complexities of developing for multiple users in a gesture based interface

The objective of this module is to provide a general grounding in the theory and practice of key areas of artificial intelligence and their application to modern software development.

1. Discuss and implement the basic artificial intelligence techniques that relate to fuzzy and probabilistic inference, classification and predictive models, brute-force, heuristic and adversarial search.

2. Describe theoretical and practical aspects of the design and use of intelligent agents,including the technologies required for their development.

3. Design and implement an intelligent agent that can controla software artefact.

4. Apply the skills learned in the areas of intelligent computing to a variety of contexts and understand their limitations.

An introduction to computational theory, computational complexity, and the evolution of computation from its historical origins to modern day paradigms.

1. Identify difficult computational problems in everyday computing.

2. Define the common models of computation.

3. Design computer programs using a variety of computational paradigms.

4. Analyse the complexity of an algorithm.

A capstone module that requires the learner to design, develop and deploy a project, either individually or in a group environment, delivering a piece of software in a timely and standards-driven manner.

1. Demonstrate the application of appropriate research methodologies and techniques related to software development.
2. Demonstrate an awareness of the present state of the art in a specialist computing area including the ability to evaluate the literature base.
3. Integrate disparate technologies and principles to successfully develop and deliver an appropriately integrated solution to a computer-based project.
4. Apply research and critical thinking skills to a challenging computer-based problem.
5. Evaluate, select and apply standard and customised research tools and methodologies of enquiry.
6. Design and implement a computing solution that requires preliminary research.
7. Critically evaluate their work and research and reflect on the strength, weaknesses and future potential of such work.