This module will seek to develop the learners' knowledge of coding principles by using a visual programming environment to create animations and games. This will enable them to teach visual coding at primary and post-primary level.

1. Appraise the rationale and remit of coding at primary and post-primary level.
2. Apply the principles of sequence, variables, selection, iteration, methods and lists.
3. Animate visual elements using code.
4. Develop a functional computer game which demonstrates knowledge of coding principles.

The study of programming and the development of programming competencies are central to learning computer science. This module provides learners with the opportunity to further enhance their knowledge of the core concepts of abstraction, decomposition and algorithmic development. In addition, students will develop the necessary technical competencies required to apply these concepts using a modern programming language to solve non-trivial problems and evaluate their solutions.

1. Apply computational thinking to design algorithmic solutions for non-trivial problems.
2. Develop algorithmic solutions by applying a structured approach to problem solving using programming constructs of sequence, selection, repetition, functions, and data types.
3. Utilise data structures to efficiently store, sort and retrieve data.
4. Validate and verify the correctness of a software implementation using modern debugging and testing techniques.
5. Measure and evaluate the algorithmic performance of a software implementation.

To provide the learner with a general description of the key hardware components of a generic computer system and how these components interact to produce a functioning computer. To introduce network technologies and standards in order to build data networks.

1. Appraise the operations that make up the fundamental workings of the computer.
2. Distinguish and evaluate the diverse components of the computer system by their basic function, their internal implementation, their inputs and outputs, and their relationship to each other.
3. Establish and explain the roles of the CPU and the main memory in the context of the overall system and the execution of programs.
4. Appraise the role of the main components of an operating system.
5. Appraise file, memory, process and input-output management techniques.
6. Apply the networking services and protocols for networking and cloud systems.

The learner will use HTML, CSS, and web authoring software to develop standards-compliant web sites. Learners will learn about information architecture, interface design, usability and accessibility and they will apply these techniques when developing websites.

1. Outline the steps involved in the web site development
2. Plan, design and develop standards-compliant web page.
3. Implement web pages using HTML and CSS.
4. Describe and apply principles of screen, navigation and interface design.
5. Evaluate web sites according to well-known criteria for effective web design.

This module will teach students to design and develop simple 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.

1. Uti lise the fundamentals of programming in an everyday situation .
2. Learn the key concepts of problem solving and then implement coding techniques to solve problems.
3. Design and deploy a mobile application using a web based visual programming environment .
4. Appreciate the concept of using mobile design methodologies along with sensors and on-board applications to build context aware, pervasive applications.
5. Apply the design and development decisions that need to be considered when developing for mobile versus more traditional environments.
6. Teach basic mobile app development in the classroom or in coding clubs.

Computer-controlled models are a useful aid in teaching introductory programming. Some of the latest trends includes LEGO Mindstorm Robots, Raspberry Pi's and Arduino kits. Physical and simulated models provide an interesting alternative to teaching coding using a traditional pedagogy. This module aims to enhance and support the work of the teacher by utilising a pedagogy that uses robots and other simple hardware devices. The main material covered in the module will seek to develop the learners' knowledge as it pertains to teaching computer coding at primary and post-primary level.

1. Assemble a simple robot and investigate how it can be used to teach problem solving.
2. Identify and implement appropriate logic to control simple robot behaviour
3. Examine how code and sensors can be used to automate robot coordination
4. Evaluate and critically appraise the utilisation of appropriate robotic devices.
5. Independently research, devise and document robotic devices for use in the classroom.

This module will guide learners to become a digital citizen that understands the rights and responsibilities of inhabiting cyberspace. The main material covered in the module will seek to develop the learners' knowledge as it pertains to implementing and instilling digital citizenship at primary and post-primary level.

1. Develop an understanding of relevant and pertinent laws.
2. Appraise the rationale and remit of digital citizenship at all educational level.
3. Evaluate digital citizenship implementation in schools.
4. Evaluate and appreciate the concepts of privacy and freedom of speech in a digital world.
5. Develop critical thinking skills for cyberspace.
6. Independently devise strategies and lesson plans to raise awareness of digital citizenship in schools.

This module will allow the learner to appreciate and examine the differing database environments and develop a design framework for relational database development. This module provides a practical led approach to fully understand the database design process and the extraction of data from the database using SQL.

1. Give an appraisal of the database environment.
2. Evaluate database models and their integrity rules
3. Design and implement a relational database
4. Write SQL commands for data manipulation of a database schema.

Data Science includes obtaining, managing, analysing and visualising data to understand and extract knowledge. This module will provide the learner with the skills to demonstrate the effective use of statistical methods within a data science project. It will introduce the fundamental elements of a data science project, and how each element facilitates the data science lifecycle. The learner will then be given the opportunity to practice their knowledge through a real-life data science project which will be designed in order to meet identified business requirements.

1. Identify data categories and how data can be processed to solve a problem.
2. Apply best practise for data gathering, data cleaning, and data transformation.
3. Identify and justify the selection of a suitable descriptive statistical techniques for a given set of requirements.
4. Design and implement a data pipeline and solution for a given set of requirements.
5. Identify and apply data analysis & reporting techniques with an awareness of emerging trends in data science.

This module will introduce the learner to a range of apps and interactive media for use in the primary school classroom. Learners will be provided an opportunity for exploration of these apps across curriculum areas and will appraise them in terms of their own contextual application. Learners will be provided with knowledge regarding accessibility applications to make their content more inclusive. They will also explore different methods of creating interactive and engaging formative assessment using emerging technologies.

1. Identify and demonstrate effective use of software for inclusion and accessibility
2. Evaluate tools, approaches and technologies for presentations
3. Appraise interactive tools for the primary school classroom
4. Choose suitable apps to incorporate and utilise in the classroom
5. Review and evaluate suitability of interactive tools

This module will introduce students to the concept of teaching Computer Science in an engaging and meaningful way, using a formal pedagogical strategy. Students will learn how computational thinking can be taught in a way that allows children to discover answers for themselves using a constructivist approach, without the need for specialised equipment.

1. Develop an understanding of how computing technology presents new ways to address problems.
2. Understand how to use computational thinking to analyse problems and to design, develop and evaluate solutions
3. Evaluate how learners can understand abstract concepts through physical objects that can be touched, manipulated, and described.
4. Develop an understanding of how problem solving can be taught using gamification techniques in a collaborative environment.

This module will seek to prepare learners to deliver the Applied Learning Tasks on the Leaving Certificate Computer Science course.

1. Deliver an Applied Learning Task on Interactive Information Systems
2. Deliver an Applied Learning Task on Analytics
3. Deliver an Applied Learning Task on Modelling and Simulation
4. Deliver an Applied Learning Task on Embedded Systems

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 .

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.