This module builds on the learner's knowledge of trigonometry, trigonometric waveforms and differentiation and allows for a greater focus on more realistic problems. In addition, differential equations and the fundamentals of infinite series are introduced.

1. Determine inverse functions and sketch algebraic and transcendental functions, including exponential and logarithmic functions.
2. Apply the formulae associated with arithmetic progression and geometric progressions to explain series and use the binomial theorem to expand certain algebraic functions.
3. Solve trigonometry problems involving the use of trigonometry theorems, inverse trigonometry functions and algebraic techniques.
4. Differentiate a wide class of functions, use calculus methods to optimise functions, differentiate functions of several variables and solve second order constant coefficient differential equations.
5. Solve second order constant coefficient differential equations and apply these techniques to physical problems such as the spring-mass system.

The Aim of this syllabus is an extension of the objective of the Syllabus for Engineering Science 1 & 2 which is to provide a firm foundation in the concepts of Mechanics that can then be used as a basis for the understanding of other courses of study such as machine design and projects, as well as being an end in itself.

1. Solve problems in angular displacement, velocity and acceleration
2. Explain and give examples of what is meant by centrifugal and centripetal acceleration and force and the concept of balancing
3. Apply Newtons laws of motion to solve problems in angular motion, including centrifugal, centripetal acceleration/force and single plane balancing
4. Solve problems involving potential energy, linear and rotational kinetic energy and strain energy in springs
5. Explain what is meant by simple harmonic motion, periodic time and frequency and solve problems for linear and rotational systems
6. Construct technical reports on laboratory demonstrations/experiments conducted during the semester.

The Design process. Sizing mechanical components for simple stresses and bending. Safety in Design. Industry Standards in the design process. Detailed Design of mechanism for manufacture with emphasis on spatial design. Using 3D solid modelling software to design parts and assemblies and produce engineering drawings.

1. Describe the mechanical design process.
2. Size simple mechanical components for strength using standard formulae.
3. Construct a 3D solid model and engineering drawing of a simple part.
4. Carry out the design of a mechanism device and produce report.

This module follows on and builds from Engineering Workshop Technology 1. Students will utilise a range of engineering technologies commonly used in industry and will acquire the practical machining skills necessary to produce increasingly complex components to tight tolerances. There is particular emphasis on engineering workshop safety, tolerancing and process planning.

1. Demonstrate safe working practices and use personal protection equipment (PPE) correctly.
2. Enhance the ability to create components and assemblies from engineering drawings using hand tools, machine tools, CNC machines and joining operations.
3. Apply the principles of measurement and inspection for machined components.
4. Distinguish between grinding wheel types based on wheel composition material types to be machined.
5. Determine appropriate tolerances for a mechanical assembly using the ISO system of limits and fits.
6. Outline the principles of metal fabrication and welding for creating basic welded components.

The aim of this module is to equip the students with sufficient knowledge of material properties and the science that underpins material behaviour to select appropriate materials for mechanical design. The students will also learn to make more informed decisions regarding the environmental impact of material selection.

1. Perform calculations to determine the properties of materials.
2. Plot property charts to explore material properties, contrast materials and evaluate their relevant attributes.
3. Explain how composition, microstructure and architecture influence material properties.
4. Describe how material properties can be manipulated by processing.
5. Translate design requirements into material property constraints and select appropriate materials based on these criteria.
6. Demonstrate how environmental design objectives influence selection.

Through the introduction of Computer Aided Manufacturing (CAM) software, the student will develop a knowledge of current CNC technology, machine tool properties, speeds, feeds, operation sequencing and machining strategies. The learner will use industrial standard CAM software to program for manufacture, as well as set-up and operate CNC milling machines and lathes to manufacture components. Projecting, conveying, planning and producing a mechanical assembly using basic drawing skills and advanced workshop equipment within self-directed ‘Scope Cost Time’ constraints. Understanding the diversities associated with material types and compositions from a manufacturing, loading and failure perspective

1. Distinguish between grinding wheel types based on wheel composition material types to be machined
2. Explain key attributes of polymers and composites and describe the associated manufacturing methods
3. Demonstrate a knowledge of CADCAM software to generate CNC programmes
4. Specify suitable machining operations, machine parameters, tooling and workpiece set-ups
5. Design, convey and fabricate an engineering assembly using advanced manufacturing techniques
6. Evaluate personal conduct and practical approaches employed by means of documentation

This module builds on the learner's knowledge of vectors and integration providing a rigorous foundation for integrating a broad range of functions. In addition, linear systems and their solution and the fundamentals of probability and random variables are introduced.

1. Perform all the basic matrix operations
2. Solve linear systems via a number of matrix methods- Gaussian elimination, Cramers and inverse matrix method
3. Integrate a wide range of algebraic and transcendental functions
4. Apply integration to find areas and volumes
5. Calculate the probability of simple events and the probability associated with binomial, Poisson, and normal distributions

The aim of this syllabus is an extension of the objective of the Syllabi for Mechanics 1 which is to provide a firm foundation in the concepts of Mechanics that can then be used as a basis for the understanding of other courses of study such as machine design and projects, as well as being an end in itself.

1. Explain and give examples of what is meant by shear strain, hoop stress, axial stress temperature stress, neutral axis and second moments of area
2. Solve problems involving, bending stress, torsional stress, temperature stress, stress in thin cylinders under pressure and stress due to rotation
3. Draw shear force and bending moment diagrams for loaded beams
4. Solve problems in buoyancy and thrust on planes immersed in a fluid
5. Solve problems using Newtons law of viscosity, the continuity equation, the momentum equation and Bernouillis equation as applied to fluid flow
6. Explain how centrifugal pumps work and how they can be tested
7. Construct technical reports on laboratory demonstrations/experiments conducted during the semester.

Introduction to key concepts of engineering tolerancing. Fundamentals of failure by fatigue and stress concentrations in engineering components. Methodology used in design for specification of vendor supplied engineering components. Use of more complex features and design functions in 3D solid modeling software.

1. Specify tolerances on engineering components using ISO/BS limits and fits.
2. Specify suitable bearings for a specified application.
3. Apply best practice methods in design for fatigue.
4. Design a simple riveted lap joint.
5. Correctly annotate an engineering drawing with appropriate tolerances.

The aim of the module is to introduce students to the key issues and concepts of instrumentation. It aims to give the student an understanding of the use of instrumentation techniques and technology in monitoring and control systems and introduces different types of sensors, signal conditioning circuits, and actuators. The module will allow the student to use the latest Digital Design Software tools and fully implement sensor and actuator systems using hardware and software.

1. Define terminology related to sensors, including accuracy, precision, sensitivity, resolution, linearity, error, and uncertainty.
2. Explain the use of the Wheatstone bridge and operational amplifier circuits for signal conditioning.
3. Discuss the criteria for selecting a sensor for a particular measurement.
4. Interface various sensors and actuators to microcontrollers.
5. Analyse and specify ADCs and DACs.
6. Specify types of electrical and pneumatic actuators.
7. Capture data from a range of sensors.
8. Analyse & gather information from data sheets.

This module provides the learner with a basic introduction to Thermodynamics. Additionally, the learner will be introduced to combustion of fuels.

1. Apply the fundamental concepts and definitions used in thermodynamics.
2. Apply the first law of thermodynamics to a closed system or an open system with steady flow.
3. Determine the thermodynamic properties of common fluids.
4. Calculate stoichiometric air/fuel mixtures for combustion of fuels.
5. Apply the 2nd law of thermodynamics to a system to calculate the Carnot efficiency of a heat engine cycle and the coefficient of performance of a vapour compression refrigeration cycle.

The aim of this syllabus is to strengthen the manufacturing management approach identified in manufacturing and CNC 1 including scope of work undertaken and the significance of planning. A deliverable of increased complexity in terms of mechanical spatial design, the facilitation of motion and precision in machining using automation is undertaken as part of a team with emphasis on adherence to a specified project plan.

1. Detail the influence of surface texture on engineering components and describe how it can be controlled during machining
2. Recognise the importance of a systematic design for X approach for product and process design
3. Write, implement and execute part programmes for CNC milling and turning
4. Understand and demonstrate the importance of accuracy in the manufacture of components
5. Manufacture, assemble and evaluate a mechanical motion conversion device as part of a team using appropriate tolerances
6. Deliver a detailed plan to instruct on the manufacture and assembly of a mechanical device within a definitive timeframe.

This module builds on previous knowledge of complex numbers and trigonometric functions and provides a similar rigorous basis for the hyperbolic functions. Infinite series in the form of power series feature strongly and this knowledge is transferred to the solution of 2nd order differential equations using the Method of Frobenius. In addition, the integration techniques acquired in the previous module are used in solving first order differential equations and there is significant further development of the theory underpinning linear systems and their applications.

1. Graph periodic and hyperbolic functions, prove hyperbolic identities, apply calculus method to hyperbolic functions, prove and derive important identities for trigonometric and hyperbolic functions using complex variable properties.
2. Derive Maclaurin series and Taylor series for functions and approximate the roots of functions using numerical methods.
3. Solve first order differential equations exactly using separation of variables and the integrating factor method and find approximate solutions using numerical methods.
4. Solve second order linear differential equations using the Method of Frobenius, and examine the characteristics of some special functions.
5. Find eigenvalues and eigenvectors for matrices; solve linear systems approximately and exactly and obtain parametric solutions to linear systems.

The aim of this module is to use the principles of mechanics to analyse machine elements and explore the problems of balance, vibration, forced vibration and resonance.

1. Solve problems on balancing of multi-plane systems and dynamic forces on bearings.
2. Apply the theory of velocity and acceleration of links in plane mechanisms.
3. Explain the key elements of friction clutches, belt drives and gear trains.
4. Solve problems of free and damped vibration of linear and rotational systems.
5. Derive the theory and solve problem in respect of forced vibration and resonance.
6. Write reports on laboratory demonstrations/experiments to a specified layout

To build on the students’ knowledge and skills from MD1 and MD2 modules. To enable students to carry out mechanical engineering design effectively. Students learn how to apply geometric tolerances for critical design intent, comply with the EU safety requirements for machinery design and the CE mark and increase their skills in component selection. Students also learn how to design sheet metal and weldment parts ready for fabrication in 3D solid modeling software.

1. Size a power transmission shaft for strength and fatigue considerations.
2. Apply geometric dimensioning and tolerancing (GD&T) to parts in 3D CAD (Computer Aided Design) software.
3. Select suitable standard mechanical components for a particular application.
4. Carry out a Preliminary Hazard Analysis on a machine.
5. Create sheet metal and weldment parts in 3D CAD software.

The key focus of this module is to equip students with the basic knowledge of basic industrial PLC systems. PLC integrated systems play a vital role in industry and require both technicians and engineers alike to be able to design, integrate and troubleshoot these advanced systems. This module sets out to introduce the student to the fundamental concepts of PLC System design coupled with both the theoretical and practical aspects.

1. Explain the fundamental concepts of PLC System Design.
2. Design, test and troubleshoot ladder logic programmes.
3. Distinguish between processes requiring digital or analogue operations.
4. Implement sequential machinery processes.
5. Demonstrate good electrical safety practice and knowledge of the appropriate electrical regulations.
6. Integrate key components including sensors, actuators, contactors, relays, and overloads into their systems.

This module provides the learner with a basic introduction to Pneumatic Technology. Additionally, the module gives the learner an insight to the design and operation of pneumatically controlled systems.

1. Describe and build basic pneumatic control systems, including calculation of compressor power and sizing of receivers.
2. Read, draw, and implement pneumatic circuits, including devising solutions to system requirements.
3. Design valve systems to implement circuit and system logic requirements.
4. Size cylinders to meet system requirements
5. Design pneumatic circuits safely, including sizing and control of actuators.

The aim of this module is to provide students with the skills to identify and deliver on the design requirements of a machine build proposal. Students research developments in their engineering discipline and apply best practice design procedures. The module introduces students to the applied mechanical and system design process including concept proposals, selections, development and planning for manufacture. Students formally address ethical and societal impact aspects of their projects.

1. Complete research and develop a design brief with specification as part of a team
2. Conduct the mechanical and system design process to deliver an optimised solution
3. Interrogate and amend a design proposal for Function, Cost, DFM and DFA.
4. Specify, size and source external components and systems
5. Generate a CAD representation & working drawings of a machine to industry standards
6. Discuss ethical and societal issues arising from a project proposal
7. Develop and present a specification document and project plan for a project.

This module provides a good foundation for Laplace transforms, Fourier series and the application of these methods. There is further development of the learners' knowledge of vector quantities, and this is used to support the further development of calculus skills including optimising functions of several variables. In addition, a good foundation for sampling theory is provided addressing confidence intervals and hypothesis testing.

1. Derive Laplace transforms and inverse Laplace transforms and solve differential equations using the Laplace transform method.
2. Determine Fourier Series for periodic and non-periodic functions and introduce Fourier Transforms.
3. Evaluate areas, volumes and determine equations of lines and planes from vector quantities; and optimise functions of several variables and compute important vector calculus entities: grad, div and curl.
4. Apply the methods of sampling theory to determine confidence intervals and test hypotheses for means, proportions, and standard deviations.
5. Determine best fitting equations and appropriately assess the degree of correlation for linear and nonlinear equations.

The aim of this module is to use the principles of mechanics to analyse machine elements and explore the problems of balance, vibration, forced vibration and resonance.

1. Solve problems on balancing of multi-plane systems and dynamic forces on bearings.
2. Apply the theory of velocity and acceleration of links in plane mechanisms.
3. Explain the key elements of friction clutches, belt drives and gear trains.
4. Solve problems of free and damped vibration of linear and rotational systems.
5. Derive the theory and solve problem in respect of forced vibration and resonance.
6. Write reports on laboratory demonstrations/experiments to a specified layout

To build on the students' knowledge and skills from MD1, MD2 & MD3 modules

1. Outline the key principles and industry standards for sustainable design
2. Apply appropriate methods for design for reliability
3. Carry out a Linear Static Stress Analysis for a simple engineering part
4. Demonstrate ability to apply best-practice engineering design methods
5. Produce key Engineering design deliverables

The Engineering Management module will introduce the learner to the operations management field and how this contributes to the strategic success of an organisation. It will provide an understanding of project management techniques and their practical application. Learners will develop their ability to visualise and solve problems using quantitative management techniques.

1. Explain the nature of operations management in manufacturing and service organisations
2. Identify the key performance objectives in operations and recognise the role of operations in achieving strategic success
3. Apply project management techniques and tools
4. Demonstrate various layout types and the associated design and flow implications
5. Analyse the key elements of the Health Safety and Welfare at Work act and explain the importance of leading people in operations

This module provides the learner with a basic introduction to Hydraulic Technology. Additionally, the module gives the learner an insight to the design, specification, and operation of hydraulically powered systems

1. Describe and build basic hydraulic control systems, including calculation of pump efficiency.
2. Design and specify hydraulic systems, including selection of pumping systems based on efficiency.
3. Size an accumulator for both fail-safe and efficiency applications.
4. Design hydraulic circuits safely, including sizing and control of actuators.

This module provides the learner with experience of building and testing a machine which they designed in Automation Project Design. The project entails a source of power and control by means of automation with students conforming to and evaluating their predefined schedule as part of a team. Skillsets including procurement, manufacturing, CAM, assembly, programming, troubleshooting testing and documenting are employed.

1. Source information on a specific subject and present it in a coherent manner
2. Apply information gained in other elements of the course to solving a particular problem
3. Solve problems associated with a real interdisciplinary project
4. Evaluate design and assembly methods, function of build and provide subsequent recommendation
5. Utilise various CNC technologies, practice project management & demonstrate automation skills
6. Produce a technical report and present the operation of physical deliverable to a deadline.

The Key to this module is to broaden the student's knowledge on Industrial PLC Systems. This module will focus on advanced Ladder logic coupled with Human Machine Interface and Motor Control all of which will be tied into the PLC via a networked system. On Completion the Learner will be able to engage in complex system design and work on debugging and troubleshooting advanced PLC Problems.

1. Explain advanced PLC ladder logic programmes.
2. Design, implement and test HMI applications.
3. Implement motor control in conjunction with variable speed drives and the PLC.
4. Explain the key concepts behind networked system such as Melsec-net, Modbus, Profibus and CAN.
5. Design and test emergency stop functions with integration via the PLC.
6. Explain key areas where automation can be appropriately integrated with robotics.

The aims of this syllabus are to understand and use the principles of mechanics to analyse and solve problems in shaft and rotor vibration, gyroscopic motion and the balance of reciprocating masses and to use the principles of mechanics of materials to analyse failure modes and fatigue.

1. Analyse and solve problems in the Vibration of complex Rotor systems
2. Develop solutions to problems in transverse Vibrations of beams and the Whirling of shafts
3. Evaluate couples and reactions due to Gyroscopic Motion
4. Analyse and solve problems in the balancing of Reciprocating masses
5. Produce solutions to problems in Fatigue and failure of components under static and time varying loads.

The aim of this module is to prepare students for a career in a range of industries requiring mechanical design and analysis or new product development using advanced tools and techniques. Students will develop their understanding of Computer Aided Analysis in the design process and production setting. The module gives the student an applied knowledge in two areas of computer aided engineering including mathematical modelling using appropriate software and engineering simulations using Finite Element Analysis.

1. Explain the role of analysis and simulation in the design process and productionsetting
2. Implement curve fitting techniques using appropriate software
3. Interpret, filter, sort, analyse and graphically present production performance data using an appropriate software
4. Generate an appropriate Finite Element Analysis (FEA) model from a 3D CAD (Computer Aided Design) model
5. Perform a Linear Static Stress Analysis using Finite Element Analysis (FEA) software
6. Carry out the necessary checks to verify & validate an FEA Stress Analysis.

The Engineering Management module will introduce the learner to the operations management field and how this contributes to the strategic success of an organisation. The learner will explore a variety of techniques used in engineering operations for planning and control. The module will enable the learner to demonstrate knowledge and understanding of a broad range of lean process improvement techniques within a service/manufacturing setting. Learners will develop their ability to visualise and solve problems using quantitative models.

1. Use inventory planning and control techniques to evaluate stock requirements.
2. Recognise and describe the essential elements of quality assured organisations.
3. Develop statistical control charts for attributes and variables to ensure processes are in control.
4. Explain how lean synchronisation and the associated tools can improve operations performance.
5. Measure and manage risk and recovery for an operation.

This module provides the learner with a further understanding of thermodynamic concepts and the physical and engineering aspects of renewable energy. Additionally, the learner is provided with a critical evaluation of the technology underpinning exploitation of mechanical sources of renewable energy. An awareness of the application of thermodynamics to sustainable energy management and its economic, social, economic and policy impacts is created.

1. Integrate thermodynamic systems and concepts for application in sustainable energy management.
2. Evaluate conduction and convection heat transfer for typical mechanical examples.
3. Predict radiation heat transfer for typical mechanical examples.
4. Compare the technology underpinning solar and photovoltaic energy generation.
5. Critique the technology supporting energy generation using hydroelectric, tidal, wind and wave sources.

This module provides students with the opportunity to undertake an independent research project in a selected area of Mechanical Engineering. The chosen from a very broad range topics from within the engineering discipline and can be associated with Industry or STEM activities within the institute. Students gain an appreciation of topic scope, breadth and challenge associated with isolating variables to be evaluated by typically two of the following options including: computer aided simulation, numerical methods and experimental procedures. Students learn to conduct a critical literature review and enhance their communication skills through presentation of their proposal in written, oral and poster formats.

1. Identify an engineering parameter that lends itself to optimisation
2. Interrogate literature and research theories beyond that taught at level 8
3. Identify key quantitative and qualitative variables associated with the selected area of research
4. Plan an analysis process using simulation, experimentation, or numerical methods
5. Communicate research and proposed methods through various media including PowerPoint
6. Apply research concepts, skills and techniques in the construction of a formal report.

This module introduces students to a variety of Data Science and Machine Learning techniques, through practical experience of their use, application and evaluation in Engineering. Students will explore the tools and techniques available to read, analyse and create meaningful visualisations from quantitative and qualitative data to facilitate
decision making. Also, this module addresses the key elements of mathematics, Python and algorithms required to understand the field of Machine Learning and its application in Engineering. The module examines supervised and unsupervised approaches to Machine Learning with Regressions, Decision Trees, Random Forests, Ensemble Methods, Support Vector Machines, Clustering, Naive Bayes and Neural Networks encompassed as key topics.

1. Pre-process, manipulate and analyse a broad range of data types using Pandas.
2. Produce appropriate data frames and provide high quality visualisations for decision making.
3. Apply algorithms to develop mathematical models which resolve issues in Engineering.
4. Distinguish between supervised and unsupervised Machine Learning and apply these techniques.
5. Review the theoretical underpinning of Neural Networks and apply these techniques.

This module provides the learner with an understanding of the analysis of heat engine cycles, especially Air Standard cycles. Additionally, the learner is provided with a critical analysis of the benefit of bioenergy in renewable systems. The learner is introduced to the field of Psychrometrics and the analysis of air conditioning systems. The learner is provided with an awareness of the application of thermodynamics to sustainable energy management and its economic, social, economic and policy impacts.

1. Compare and critically analyse heat engine cycles through calculation of work output and efficiency.
2. Analyse the efficiency of various categories of bio-energy and their applications.
3. Perform design calculations for air-conditioning systems and cooling towers through the application of the principles of psychrometrics.
4. Critique the integration of thermodynamic systems and concepts and renewable energy sources in sustainable energy management.

This module will develop the technical knowledge of the student in areas relating to Computer Aided Engineering (CAE). The aim is to heighten awareness of developments in the field of CAE and to understand how CAE systems are integrated to enhance the product development process. Students will obtain an applied knowledge of the latest CAE technologies, including CADCAM and CNC (Computer Numerical Controlled) Simulation, Reverse Engineering/Scanning and Additive Manufacturing.

1. Recommend best practice in design methodologies and processes.
2. Select suitable tooling and processes for a variety of machining applications.
3. Create CNC programmes using CAM (Computer Aided Manufacturing) software to milled and turned components
4. Simulate and verify CNC programmes.
5. Carry out the scanning & reverse engineering of engineering parts.
6. Design a part/assembly for additive manufacturing.

This module ensures the learner understands project management tasks such as developing, managing, implementing, closing and evaluating the project plan. Students will gain an overview of the ethical and societal issues pertaining to engineering. This will review various intellectual property rights including copyright, patent, trademarks, and patents. Students will learn marketing techniques and practice these techniques by developing an online presence on linked in and other platforms to enhance their own employment opportunities. Students will examine Continuous Professional Development & Lifelong Learning.

1. Apply basic management ideas, principles and skills to the management of projects
2. Plan, schedule and control projects
3. Analyse ethical issues with respect to the design and manufacture of goods
4. Analyse various intellectual property rights including copyright, patents, trademarks and carry out a patent search
5. Explain key marketing concepts, marketing environment and marketing research
6. Develop personal marketing skills using LinkedIn or other platforms to attract employment opportunities

This module provides students with the opportunity to undertake an independent research project in a selected area of Mechanical Engineering. The aim of this module is to give the student the opportunity to apply their theoretical knowledge and practical experience in developing, implementing and critically assessing a detailed methodology for a defined problem within a prescribed timeframe. The learner works under the direction of a project supervisor and communicates the process, progress and outcomes of their work in a style and manner appropriate to professionals in the discipline.

1. Display initiative and problem solving skills in developing a detailed, viable methodology for addressing an open-ended problem
2. Design, plan and manage a project within a predefined timeframe
3. Perform critical assessment and review of the research, analysis and solutions derived in a project in an engineering, business and ethical context
4. Develop, design, analyse and apply theory within practical constraints
5. Communicate analysis results by oral means including PowerPoint and Poster Presentation
6. Construct a formal technical report detailing work undertaken and explaining results obtained