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Automation and Robotics
Bachelor of Engineering
Course Details
Course Code | GA_EAURG_B07 |
---|---|
Level | 7 |
Duration | 3 years |
Credits | 180 |
Method of Delivery | Blended |
Campus Locations | Galway City – Dublin Road |
Mode of Delivery | Part Time |
Course Overview
The part-time Bachelor of Engineering in Automation and Robotics is an industry-led degree designed to upskill employees in the manufacturing sector. This is an innovative programme that has been designed in close consultation with manufacturing industries in the western region who have identified a requirement to up-skill their employees.
The aim of the programme is to graduate engineers that can build and manage modern manufacturing cells. The graduate profile will be in automation and robotics applied to advanced manufacturing with skills in HMI configuration and networking.
This programme is a first step to addressing the emergent Industry 4.0 requirements of manufacturing companies. Graduates of this programme will have the skills and knowledge to design and maintain automated manufacturing processes, and integrate in-house and vendor automation solutions.
Flexible Study
This programme is offered on both a full-time and part-time basis.
Course Details
Year 1
Semester | Module Details | Credits | Mandatory / Elective |
---|---|---|---|
Year |
Academic and Professional Skills (TK)The aim of this module is to empower students with the skills to be successful in third level education and the workplace. This module focusses on areas such as academic writing, creative thinking, problem solving, communications, career planning, report writing, innovation, technology and presentation skills. Learning Outcomes 1. Apply the basic principles of critical thinking/problem solving to engineering systems 2. Demonstrate an enhanced capacity to communicate verbally in contexts relevant to an engineering environment 3. Explain the ethical standards required of the professional engineer 4. Demonstrate an ability to communicate via electronic media to the standards of the engineering industry 5. Appraise, select, and apply appropriate learning strategies |
05 | Mandatory |
Year |
Electrical Principles and Automation (TK)Electrical Fundamentals This module will cover the fundamental principles of electrical sciences and instrumentation. Students will learn to design, build, analyse and troubleshoot basic electrical and instrumentation circuits using microcontrollers through both theory and practical applications. Learning Outcomes 1. Analyse basic circuits using the fundamental laws of electrical science. 2. Describe the technology and use of common electrical and electronic components. 3. Illustrate and discuss the technology and use of common actuators. 4. Explain the basic principles of electrical power generation. 5. Apply basic safety principles 6. Specify, select, build, programand troubleshoot basic PLC circuits. |
05 | Mandatory |
Year |
Engineering ScienceThe aim of this module is to give students and understanding of, and practice in, engineering science concepts and techniques that are important to both other modules in the programme and also to real world automation and robotics engineering. This module introduces basic concepts of physics relevant to automation and robotic applications. Learning Outcomes 1. Identify the physical principles relevant to specified problems. 2. Solve theoretical and practical problems. 3. Work on optical, mechanical, and thermodynamic experiments using best laboratory practices. 4. Selectappropriate instrument(s)for specific tests/measurements. 5. Identify anomalous results and make decisions regarding the source of the anomaly. 6. Record results in compliance with standard practice including measurement uncertainties. 7. Conduct experiments in accordance with safe practice. 8. Independently read instructions and accurately follow a pre-determined methodology. |
10 | Mandatory |
Year |
Computer Aided Design (TK)Computer Aided Design 1 is a 3-hour weekly computer lab that introduces students to the modelling and creative design process through the use of CAD software. Computer Aided Design teaches the fundamental principles of technical drawing and modelling through an active learning environment where students are required to complete weekly assignments and also a design-and-build project at the end of each semester. Learning Outcomes 1. Use three dimensional solid modeling software (CREO 3.0) in the design of engineering components. |
10 | Mandatory |
Year |
Mathematics FundamentalsThe aim of this module is to give students and understanding of, and practice in, mathematical concepts and techniques that are important to both other modules in the programme and also to real world automation and robotics engineering. This module covers the fundamentals of Numeracy, Algebra, Trigonometry, Vectors, Matrices, Complex Numbers, Differentiation, Statistics, and a range of their applications in engineering contexts. Learning Outcomes 1. Perform simple arithmetic operations. 2. Work with mathematical formula and functions. 3. Draw graphs of standard functions and interpret graphs. 4. Work with trigonometric, logarithmic, and exponentialfunctions in solving problems. 5. Perform simple differentiation. 6. Perform calculations involving complex numbers in Cartesian and polar form. 7. Work with vectors and matrices. 8. Work with data and perform simple statistical analyses. |
10 | Mandatory |
Year |
Industry Module 1 (TK)This module is based on the theory of cognitive apprenticeship. In order to become engineers in the field of automation students need to learn about manufacturing processes and culture. In this module students are immersed in their company as an operator or trainee technician. They reflect on the culture, learn about manufacturing processes and attend around 30 hr of automation training which will allow them to operate and programme a robotic arm. Learning Outcomes 1. Comply with company’s procedures and policies, and describe the company’s ethical guidelines relating to the workplace, customers and the environment. 3. Wire and troubleshoot a Programmable Logic Controller using best practice. 4. Describe and explain manufacturing processes available in the work place. 6. Integrate in the company work place, communicating and contributing as an individual and team member, and describe the company’s organisational structure. |
20 | Mandatory |
Year 2
Semester | Module Details | Credits | Mandatory / Elective |
---|---|---|---|
1 |
Networking TechnologyThis Networking Technology module introduces the fundamentals of networking technology, with emphasis on Ethernet and wireless network systems for industrial and business applications. The module balances theory with practice, applying networking principles and techniques in practical laboratories. Learning Outcomes 1. Discuss current network technologies, applications and emerging trends for industrial and business applications. 2. Describe the Internet protocol suite (TCP/IP). 3. Recognise and analyse Ethernet, Industrial Ethernet and wireless network architectures, devices and data. 4. Select, configure and problem-solve networking elements in a practical application. 5. Design, build and test a basic network in a practical application. 6. Appreciate network management principles and challenges. |
05 | Mandatory |
1 |
Regulatory Affairs (TK)This module will deal with the Quality Assurance systems and quality management principles needed in manufacturing and specifically in the building of automated machines and automated systems. The course will cover both European Union (EU) and US regulations and related agencies. Learning Outcomes 1. Discuss the role of quality management in Manufacturing and the constraint linked to its implementation. |
05 | Mandatory |
1 |
Instrumentation and ControlThe aim of this module is to give students and understanding of, and practice with, instrumentation concepts and techniques that are important to both other modules in the programme and also to real world automation and robotics engineering. This module introduces the learner to the key principles and performance parameters of scientific and industrial instruments, and provides expertise in the application of such principles. It also provides an introduction to the principles and practice of control systems and automation. Learning Outcomes 1. Explain the differences in performance between open- and closed-loop control systems and explain the principles involved in such systems. 5. Choose the optimum sensor and /or instruments for specific applications and make sensible decisions on the purchase of suitable scientific equipment to meet requirements. |
05 | Mandatory |
2 |
Project Management (TK)The student will be introduced to the standards, tools, methodologies and techniques of project management. The student will complete a minor group project to an international standard. Learning Outcomes 1. Apply the principles and methodologies of project management to their specialist discipline. |
05 | Mandatory |
2 |
Programming with PythonPython is an interpreted, high-level programming language, with a wide range of applications. This module introduces the Python programming language and environment, the Python standard library and some common Python libraries. The module emphasises both principles and practice, technical and soft skills, and uses professional tools. Learning Outcomes 1. Develop Python code, incorporating fundamental programming principles and techniques, forrobotic technology. 2. Select, use and test a range of standard Python language features and common libraries, using professional development tools. 3. Apply software engineering principles in Python. 4. Design and debug code to address unforeseen tasks. 5. Display an appreciation of good programming practice, style and ethics. |
05 | Mandatory |
2 |
Mathematics 2The aim of this module is to give students and understanding of, and practice in, mathematical concepts and techniques that are important to both other modules in the programme and also to real world automation and robotics engineering. It is a module on mathematical methods and techniques employed in the solution of problems in Engineering. The course deals with the purpose, methods and applications of differentiation, integration, matrices, differential equations and probability theory. Learning Outcomes 1. Differentiate single variable functions requiring a combination of rules. 2. Determine the partial derivatives of functions of two variables. 3. Apply differentiation to solve rates of change and optimisation problems. 4. Select and apply appropriate techniques of integration to evaluate integrals. 5. Solve first order differential equations by direct integration and separation of variables. 6. Analyse the behaviour of systems and processes in engineering to recognise when differential equations are appropriate, formulate the problem, creatively model these behaviours in order to solve the problems, interpret and clearly communicate the results. 7. Apply the rules of probability and use probability models for data analysis . |
05 | Mandatory |
Year |
Automation 2 (TK)This module will provide the student with knowledge of electromechanical schematics symbols and drawings. The student will be able to read/create schematic diagrams for circuits such as pneumatic, electrical, electro-pneumatics, and PLCs/ PACs. Using simulation software, the student will be able to analyse and optimise their circuit design. This module will also provide the student with a practical knowledge of PLCs/PACs. Using software and hardware the students will analyse gate logic, boolean algebra and truth tables. They will learn to use subroutines and manipulation of data using advanced features of PACs. Learning Outcomes 1. Demonstrate competence in standards used in automation, including machine building standards 2. Construct schematic diagrams for basic industrial automated applications using the correct standards in pneumatic, electrical, electro-pneumaticsareas 3. Analyse and optimise circuit design using simulation. 4. Describe the industrial uses, feasibility and advantages/disadvantages of a PLC 5. Describe PLC technology using the correct terminology 6. Construct ladder logic programmes using Boolean Logic, IOs, timers, counters, sequencing, and advanced functions. 7. Discuss how automation can contribute to sustainable development goals. |
10 | Mandatory |
Year |
Industry Module 2 (TK)This module is based on the theory of cognitive apprenticeship. In this module, students are immersed in their company as a trainee technician. Students attend around 80 hr of formal training session where they further develop their skills in programming and troubleshooting PLCs and robotic arms. They learn to integrate vision systems and other sensors to their automated systems. In order to become engineers in the field of automation students also need to learn about manufacturing processes and quality control. Throughout the module they reflect on their work, learn about manufacturing processes and develop artefacts which include robotics, PLC, as well as vision systems. Learning Outcomes 1. Select the appropriate tools, methodologies and techniques to solve manufacturing problems, and design and implement solutions. 5. Designand build an automated rig for a basic operation, including safety features. 6. Reflect on their experiential learning, and their ability to solve problems using a structured technical approach, and identify gaps. |
20 | Mandatory |
Year 3
Semester | Module Details | Credits | Mandatory / Elective |
---|---|---|---|
1 |
Mechanical Systems (TK)This module will provide the student with knowledge of electromechanical components that are used in industrial automated applications. Components in the areas of motors, drive systems, levers and linkages wil be covered. The student will have a strong understanding of the operation, construction and uses of these components. Learning Outcomes 1. Describe the industrial uses, feasibility and cost effectiveness of types of mechanical systems 2. Select the components of a mechanical systemfor differentautomated applications 3. Defineactuators’ specifications for different applications. 4. Define conveyors’ specifications for different applications. |
05 | Mandatory |
1 |
Programming with C and C++C and C++ are foundation programming languages in the fields of automation, robotics and general embedded systems. This module introduces fundamental programming skills through modern C and C++. The module emphasises both principles and practice, technical and soft skills, and uses professional software and hardware tools. Students develop code using basic programming techniques with good programming style, perform algorithm design, and consider applications and performance. Learning Outcomes 1. Develop and debug basic programs incorporating fundamental programming principles and techniques. 2. Select, use and test modern C & C++ core language and standard library features, using professional software andhardware development tools. 3. Apply basic algorithm design and documentation techniques. 4. Design & debug codeto address unforeseen tasks. 5. Display an appreciation of good programming practice, style and ethics. 6. Describe applications and principles of C & C++. |
05 | Mandatory |
2 |
Control SystemsThe goal of the module is to equip the learner with the knowledge and skills required to specify, analyse, implement and test industrial control systems including PID and motion control systems. Learning Outcomes 1. Explain the principles involved in different control systems and their differences in performance and applications 2. Select the appropriate control strategy for a given application in process and motion control 3. Specify the components for open loop and closed loopcontrol for industrial use cases 4. Develop process and motion control systems for industrial use cases |
05 | Mandatory |
2 |
Six Sigma Quality (TK)An introduction to Six Sigma, which will both explain the concepts and use of the tools and techniques of Six Sigma. Learning Outcomes 1. Distinguish and explain Lean Six Sigma concepts and explain why organisations use them. 2. Define, select and apply Lean and Six Sigma tools for problem solving, prioritizing problems, reducing waste, evaluating process performance and improving processes. 3. Collect, summarise, analyse and interpret data using graphical methods, descriptive and inferential statistics. 4. Explain the concept of ethics and integrity and examine various codes of ethics for engineers. 5. Communicate findings effectively, accepting responsibility for their own contribution and performance. |
05 | Mandatory |
Year |
Industrial RoboticsThis module will provide students with knowledge of robotic automation systems, including the use of vision systems in robotic applications. Students will learn how to integrate components in a robotic cell and program the cell using the teach-pendant. A 3D modelling software will be used for programming, optimisation and virtual commissioning of robotic cells. Finally, the module will cover cost and safety considerations when the automation of a manual operation is proposed. Learning Outcomes 1. Discuss robotics technology and anatomy. 2. Use a 3D model of a robotic cell for programming, optimisation and virtual commissioning. 3. Use a teach-pendant to programme a robotic cell. 4. Use vision systems for robotic industrial applications. 5. Discuss the industrial uses, feasibility and cost-effectiveness of robotic systems. 6. Integrate hardware components (PLC, sensors, end-effectors, vision systems) with a robotic system. 7. Discuss safety standards relating to robotic arms. |
10 | Mandatory |
Year |
Internet of Things ProjectThe Internet of Things (IoT) project module provides a structured engineering project experience in the general application area of the Internet of Things. Students develop an individual project in a collaborative learning environment, with structured support lectures, laboratories and mentoring on selected subject areas. The module progresses from idea creation, research and planning through design, build, coding, test, problem-solving, presentation and demonstration, while incorporating agile principles. Students focus on technical skills and soft skills concurrently throughout the module. Learning Outcomes 1. Research an IoT based application area and create a project proposal, following general requirements. 2. Discuss a selected IoT application area, including industry, trends, technologies, ethics and contribution to sustainable development goals. 3. Investigate & select suitable hardware and/or software elements to use in a project, following general guidelines. 4. Develop, integrate, build and test hardware and/or software elements of a project, on a specified Internet of Things development platform. 5. Apply problem solving techniques to technical and other issues that arise in the context of a project. 6. Manage project deliverables throughout the project timeline in an agile environment. 7. Contribute towards a collaborative working environment, as well as work independently towards project goals. 8. Demonstrate project technical functionality, including data capture, data storage anddata analytics. 9. Communicate project ideas, design and deliverables, using professional tools and guidelines. |
10 | Mandatory |
Year |
Industry Module 3 (TK)This module is based on the theory of cognitive apprenticeship. In order to become engineers in the field of automation students need to learn about manufacturing processes and culture. In this module students are immersed in their company as a trainee engineer. Students attend around 30 hr of formal training session where they further develop their skills in programming and troubleshooting PLCs. They reflect on the industry culture, learn about manufacturing processes and design and automated cell. Learning Outcomes 1. Design an automated cell integrating hardware such asrobotic arm, PLC controller, drive or vision systems as well assafety features. 2. Participate in process planning according to company quality policies and system. 5. Reflect on their experiential learning and their ability to solve problems using an engineering approach, identify gaps and devise self-learning strategies. |
20 | Mandatory |
Recommended Study Hours per week
Examination and Assessment
On-Campus Attendance Requirement
Download a prospectus
Entry Requirements
Applicants should be in employment and will be required to have support from their employer to engage with the course. The employer must agree to release learners to join online lectures on two evenings per and one day on-campus.
Applications are made directly to the Institute by participating companies. The main cohort of students will come from local manufacturing industries. They will attend the course while maintaining their full-time employment.
Students from industry may start in Year 1, or they may avail of advanced entry depending on their background and qualifications. It is expected that students with a cognate QQI HETAC Level 6 (e.g. Technicians) may avail of advanced entry into Year 2. Those students have to complete the Industry training that is part of the Industry Module in Semester 3 of Year 1.
Applicants with a cognate QQI FETAC LEVEL 6 (e.g. Electricians) may avail of advanced entry into Year 2. Those students have to complete the Industry training that is part of the Industry Module in Semester 3 of Year 1, plus a bridging module ‘Applied Science, Technology, Engineering and Maths’ to aid their transition back to education.
For applicants presenting Leaving Certificate qualifications standard entry requirements apply. This programme is not offered through the CAO.
Mature Applicants:
Applications from mature applicants (aged 23 on or before 1st January of the course commencement year) are welcomed by ATU. These applicants do not have to meet the Leaving Certificate entry requirements and are considered on an individual basis (previous education, work experience, and demonstration of ability and competence to undertake the programme). They may be invited for interview. This will be used to rank applicants where demand exceeds the available places on a programme.
Recognition of Prior Learning may be used to gain access to this programme in accordance with ATUs Recognition of Prior Learning policy. For more information on the RPL Process, please visit https://www.myexperience.ie/about/how-rpl-works/
Fees
Total Fees EU: €18000
Skillnet funding is available for employers registering learners on the course.
Further information on feesFurther Information
Who Should Apply?
The is an industry-led degree designed to upskill employees in the manufacturing sector. Graduates of this programme have the skills and knowledge to design and maintain automated manufacturing processes and integrate in-house and vendor automation solutions.
Contact Information
Admissions Office
Mechanical & Industrial Engineering