The module will further enhance the learner's skills in designing and developing object-oriented programs.

1. Introduce object-oriented design and the concepts of encapsulation, abstraction, inheritance, and polymorphism.
2. Design, implement, test, and debug simple programs using object-oriented concepts
3. Compare and contrast the notions of overloading and overriding methods in an object-oriented language.
4. Develop code that responds to exception conditions raised during execution.
5. Implement simple programs involving interfaces and abstract classes.
6. Explain, use, and modify source code which implements introductory sort and search algorithms.

Students will develop expertise in applying calculus to curve description and its application to problem solving. The course will also include statistical analysis of data. The module is geared to providing students with the mathematical skills relevant for research and dissertation later in the course.

1. Apply calculus methods for optimisation and rate of change
2. Calculate probability of an event and establish number of permutations possible
3. Use a variety of methods to explore, summarise and present data.
4. Use inferential statistical models to analyse data and make predictive estimation

To introduce the learner to network standards and technologies in order to design and modify data networks.

1. Analyse and Evaluate the OSI model and the TCP/IP suite.
2. Evaluate and recognise the role of internetwork ing device technology in a LAN.
3. Configure, test and troubleshoot Switches as part of a Local Area Network.
4. Identify , analyse and evaluate the subnetting of a network.

Interaction design is concerned with producing interactive products that are easy, effective and pleasurable to use so that they provide a positive user experience. Many products can lead to a negative user experience. Interaction Design will look at the difference between good and negative design and focus on the user experience of interactive products. This will be categorised in terms of usability, user experience goals, and design principles. Focus will be placed on cognitive psychology, its application to prototype development and evaluation techniques.

1. Demonstrate an understanding of cognitive psychology and its application to the design space.
2. Identify specific usability and user experience goals concerned with designing interactive products that support the way people communicate and interact in their everyday and working lives.
3. Make reasoned design decisions so as to enhance the users understanding of the underlying conceptual model.
4. Demonstrate competence with interface development tools for interface development and provide a structure for planning evaluation studies.

JavaScript is one of the most popular programming languages used by developers and it powers the modern web. This module aims to introduce students to JavaScript language fundamentals, events, the Document Object Model and Ajax data transfer.

1. Apply the core language fundamentals
2. Create & m anipulate web content
3. Transfer and manipulate server data
4. Build a significant data driven web site using client -side and server – side technologies
5. Use a version control system

API Development will give the learner the skills to discover and utilize appropriate modern day APIs. It will enable the learner to design and develop advanced Graphical User Interfaces that connect to databases and respond to user events. Whilst the module has a particular emphasis on GUI and database APIs, it will also give the learner scope to discover and use new innovative APIs.

1. Design, write, test and modify , event driven Graphic al User Interfaces making use of appropriate classes from the Java API.
2. Evidence comprehension of the Model View Controller Design Pattern .
3. Use a subset of classes from the Java API to create programs that connect to databases.
4. Discover and utilize new innovative classes in class libraries.

This module aims to develop an understanding of algorithms and data structures commonly required by computer applications.

1. Describe, analyse, and apply stack, queue, list, tree, hash, and graph data structures.
2. Use big O to determine relative efficiencies of algorithms and construct empirical tests to verify and tabulate efficiencies.
3. Explain, implement, and apply recursive algorithms.
4. Choose and apply appropriate data structures to solve particular application problems.

The module will explore both the theorical and practical implementation of objects and structures relevant to relational and non-relational database systems. Transaction management, database administration, and query optimisation, will be examined and applied.

1. Develop database objects and structures applicable to relational and non- relational database s .
2. Illustrate t ransaction m anagement t echniques in a DBMS.
3. Examine and apply query optimisation concepts.
4. A pply administration and security concepts relating to database systems.
5. Examine and discuss recent database technologies and trends .

This module will provide the learner with the underlying knowledge to plan, implement and maintain networked services. The learner will investigate securing services and layer 2 devices.

1. Configure and maintain services for the support of a LAN .
2. Devise code for the configuration and management of networked services .
3. Identify and apply appropriate security measures to the networked services .
4. WLAN components and configuration.

This module provides students with an introduction to Microsoft's .NET framework and the C# programming language. Students will gain practical experience of developing and testing non-trivial, multi-class applications using C# and the .NET framework. They will utilise industry best practices such as version control, static code analysis and test-driven development (TDD) to validate and verify the quality of their software artefacts.

1. Develop non-trivial, multi-class applications using C#.
2. Apply test driven development to test and validate their software implementations.
3. Evaluate the performance and quality of code using industry standard code analysis and performance instrumentation tools.
4. Efficiently employ version control and collaboration tools to support multi-person development of multi-version programs.

JavaScript has many frameworks and libraries that allow for distinctive features to be added to web applications. This module aims to develop upon existing knowledge of the JavaScript language and use some of its more popular libraries.

1. Build upon existing core language features
2. Develop solutions using features of some popular libraries
3. Design and customise responsive websites using a front-end framework
4. Build a significant data driven website integrat ing existing library solutions
5. Use a version control system

This module will consolidate the skills learned in this and earlier programming modules. It will enable the learner to gain extensive experience in designing, implementing, testing and refactoring a substantial data management application using techniques appropriate to a DevOps environment where appropriate. They will examine a range of Design Patterns and use them where appropriate. The module has particular emphasis on writing code that adheres to clean coding principles.

1. Design, implement, test and debug a n application that serialize s and deserialize s objects .
2. Apply automated testing and test-driven development to validate and verify the quality of their applications . 
3. R ecognize , describe, and utilize appropriate Design P atterns .
4. Read, interpret and refactor code using clean coding principles.
5. Efficiently employ version control tools to support the development of multi-version programs.  
6. Develop applications that run different threads of control.

Object oriented analysis and design is concerned with the preparation and management of the requirements specification for a software system. An industry standard modelling technique supported by CASE technology will then be employed to represent these requirements.

1. Compare alternative approaches to the systems development life cycle.
2. Design data gathering techniques as part o f requirements elicitation.
3. Identify and document requirements.
4. Appraise and evaluate UML.
5. Apply the use of CASE technology to model a system using UML.

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, againstthe conventions of academic writing and against the usual standards of grammar and style.

To introduce the learner to advanced network device configuration and dynamic routing protocols. This module will build on previous knowledge and develop themes in the secure provision of local and wide area routing and switching, Internet connectivity.

1. Iden tify and implement VLSM .
2. Design and implement typical routing protocols within and between Autonomous Systems using both IPv4 and IPv6.
3. Configure, test and troubleshoot Routers as part of a Local Area Network.
4. Configure, test and troubleshoot Dynamic Routing protocols.
5. Implement basic network security and anal ysis

Building on the programming concepts introduced in Commercial Programming 1, students will expand their understanding of the .NET development environment. The module introduces students to asynchronous programming concepts and the use of Language Integrated Query (LINQ) for interacting with data collections. They will explore C# programming principles and the fundamental design patterns in .Net Core applications. Students will then get the opportunity to apply these programming principals and design patterns, to build an efficient, maintainable and responsive .Net Core application.

1. Implement OO design concepts through C#.
2. Develop applications using a consistent development environment, interacting with class libraries and APIs and development controls;
3. Develop and design Windows forms using the Code Editor to add and edit the C# code.
4. Apply specific data validation techniques to ensure good programming design principles specific to the C# programming language and .NET Framework

JavaScript is a powerful programming language used to create dynamic server-side applications and utility programs. This module aims to use JavaScript/Node.js frameworks to develop server-side applications and extract data from various web resources.

1. Advance existing core language concepts
2. Critique the role of server-side application development
3. Construct server applications using server-side frameworks
4. Extract data from various for web sources
5. Build a significant data driven website integrat ing framework technologies

Students taking this module may undertake a one semester (September to December in year 3) academic program of study worth 30 credits in another college outside Ireland. When taken in a partner college within the EU students may be eligible for Erasmus funding. When taken in a partner college in China part funding may be available from LYIT and the host/partner Chinese college. In all cases the program of activities and academic modules undertaken must be agreed in advance with the Head of Department or their nominee, it must be the equivalent of 30 credits and must adequately prepare the student for progression to semester 6.

In certain cases, an industry placement may be undertaken from June to December. The nature of the placement must be agreed in advance with the Head of Department or their nominee to ensure that the nature of the placement adequately prepares the student for progression to semester 6.

This 30-credit module will be graded Pass/Fail. Consequently, where the student chooses to take this 30 credit module they will not be eligible for a level-7 exit award as it will not be possible to calculate a Grade Point Average for the exit award.

The student will learn both the theoretical concepts underpinning vulnerabilities and also how to implement remediation strategies in a modern object oriented programming language.

1. Evaluate the issues involved in designing, developing and implementing a secure application.
2. Evaluate security vulnerabilities and propose solutions for a security-conscious environment.
3. Develop memory management techniques, evaluate problems and discuss strategies and practical solutions to these issues in a modern object oriented programming language.
4. Discuss future trends in the field of software security.

This module is designed to teach the essential skills students need to make effective contributions and to have an immediate impact on the accomplishment of projects in which they are involved. Students will learn techniques required to plan, manage and control projects

1. Compare and contrast different approaches to project management.
2. Apply risk management techniques.
3. Appraise techniques used to esti mate project cost and duration .
4. Prepare graphical representations to plan and control a project.
5. Compare and contrast team organisations and select a suitable organisation based on project characteristics .

This module will examine data analysis strategies and methods and the importance of data and business intelligence to an organisation. It will introduce the use of a statistical programming language and the evaluation of methods required to pre-process, condition and extract data prior to evaluation. Furthermore, the learner will develop an understanding of how to select and implement data analytic techniques, generate insight and interpret data visualisations.

1. Identify suitable data sources for an assigned use case and evaluate pertinence of captured data.
2. Manage datasets and evaluate content for pre-processing, conditioning and extraction.
3. Apply data analytic techniques to derive insight and value from datasets.
4. Analyse the importance of data analytics in deriving insight for business intelligence.
5. Critically appraise data analytics technologies and techniques across a broad range of use cases.
6. Apply research, information gathering, critical analysis, design and implementation techniques appropriately and effectively

The module will provide students with experience that closely approximates a real-world commercial project. Students will analyse, design, develop, implement and test an application. The module will also enable students to develop confidence in being able to work and contribute as part of a team.

1. Select and specify a project .
2. Produce a requirements specification to industry standards.
3. Implement the software system.
4. Demonstrate and document the software artefact.

This module enables students to explore various frameworks for developing web applications using C# and ASP.Net technologies. Students will examine modern design patterns in ASP.Net applications and apply these techniques in practice to build secure, data-driven ASP.Net application. Additionally, students will explore various libraries that provide authentication and authorization functionalities for enhancing application security.

1. Design and justify a system architecture for a modern web application, satisfying the requirements for real-world scenario.
2. Design and construct RESTful backed end web and data services.
3. Integrate front and back-end web services.
4. Deploy, monitor, and evaluate live web applications.

JavaScript has many wide-ranging libraries to help build feature rich websites and applications. This module aims to use various libraries to build data visualisations, interactive maps and integrate social media content.

1. Progress existing language skills
2. Consider the role of libraries and frameworks in web development
3. Create data visualisations
4. Embed mapping solution s
5. Access & add social media con t ent
6. Build a significant data driven website with librar ies

The module aims to provide students with an analytical and practical understanding of data structures and algorithms, including – but not limited to – classification of algorithms, tree storage mechanisms, path finding, and concurrency issues.

1. Discriminate between , and experiment with, different algorithm types such as greedy algorithms, divide-and-conquer, dynamic programming algorithms .
2. Appraise, develop and analyse fundamental graph algorithms including graph search, shortest path, and minimum spanning trees .
3. Investigate and experiment with mechanisms for tree storage and balancing .
4. Identify requirements on , and implications for, data structures that must support concurrency and/or parallelism; illustrate how those requirements are met

This subject will extend the learners knowledge of programming through an exploration of continuous integration, build management, automated testing. Learners will design and implement key processes to support an automated software delivery pipeline.

1. Construct software in a collaborative manner using Agile techniques most appropriate to a DevOps environment.
2. Devise an appropriate test methodology for the measurement of code under specific criterion
3. Recognize and mitigate factors which may have a negative impact on the delivery lifecycle.
4. Design and implement the processes appropriate for Release and Change Management in an agile delivery organisation

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 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.

This module will give students practice in academic research with the freedom to express their personal interests in the field of computing. Students will have an opportunity to critically analyse and synthesise pertinent literature regarding their area of exploration. Students will gain an appreciation of iterative development, critique and an ability to devise a plan for practical development.

1. Appraise 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 their impact on research and industry.
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.

The ubiquitous nature of modern computer applications requires software engineers to learn how to design, develop and deploy applications for a range of different devices from desktop computers to mobile devices such as smartphones. This module teaches students how to architect and develop cross-platform applications using cutting edge ubiquitous computing platforms.

1. Discuss and examine the different native platforms for .Net App UI development.
2. Identify and critically analyse the tools and techniques for UI design and development.
3. Design and implement a mobile or desktop app using a .Net Native application develop ment platform .
4. Discuss and justify the selection of appropriate data management procedures.
5. Investigate techniques available to connect to Azure Cloud serverless services.
6. Evaluate best practices for the packag ing and d eploy ment of the application through an appropriate play s tore.

JavaScript frameworks facilitate website construction through the concept of component-based design. This module aims to leverage a component-based framework to assemble web applications.

1. Elevate core language skills
2. Examine the RESTful architecture
3. Investigate a component-based website framework
4. Construct reusable web site co mponent s
5. Build a significant data driven component-based website

This module provides an understanding of context and methodology for contemporary software design.

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.

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.

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 developers and the role of relevant enforcement organisations.
4. Evaluate current computer-based threats.

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

In the submission of an accompanying document, it is expected the student will evidence the employment of an appropriate software 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. Evidence independent technical investigation .
2. Choose and apply an appropriate software design methodology for the development of a software artefact.
3. Evidence good software development skills such as efficient code, code commenting, code revision, extensibility, bug testing and deployment.
4. Explain development activities in a project report adhering to good academic standards.
5. Deliver a comprehensive presentation on the conception, research, design and development phases which led to their software artefact.

This module will explore the Data Science lifecycle utilising real-world dataset. The student will explore the tools and techniques available to clean, transform and analyse data to allow them to create a data science solution. Artificial Intelligence (AI) can be described as the simulation of human behaviour by a computer. Machine Learning (ML) is a subset of AI that provides computing systems with the ability to learn and improve through experience without explicit programming. This module will introduce the learner to the fundamentals of AI and ML, with specific focus on using these techniques as part of the Data Science lifecycle.

1. Critically appraise data analysis techniques available to ingest raw data, transform, clean and manipulate this data for further analysis.
2. Examine and appraise the ethical and governance considerations associated with machine learning.
3. Compare and contrast supervised and unsupervised machine learning methodologies.
4. Analyse and critique Artificial Intelligence or Machine Learning tools and techniques.
5. Design and implement a data solution for a given set of requirements using machine learning techniques.
6. Evaluate appropriate machine learning classification, optimisation and regression problems.

This module aims to enable the student to build scalable enterprise-level web applications using a structured development platform.

1. Employ a new scripting language
2. Explore a structured development platform
3. Produce integrated components using a suite of development tools
4. Build a substantial data driven scalable website