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.

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.

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.

This module introduces the student to the operation and construction of fundamental automotive systems, components and their design. The student will learn to interpretate manufacturers' instructions so that they will be able to safely disassemble, inspect, reassemble and evaluate an automotive component in compliance with manufacturers specifications.

1. Explain the operation of the vehicle chassis, suspension, steering and braking systems
2. Identify vehicle chassis components and their interrelationships with the vehicle systems
3. Explain the operation of powertrain components and their interrelationships with the vehicle systems
4. Disassemble an automotive assembly safely, inspect components and verify tolerances
5. Reassemble an automotive assembly according to manufacturers specifications and document function, operation and action taken.

This module introduces the student to the fundamental concepts of power electronic solid-state switching devices, associated characteristics, and their applications. The module also provides students with basic analysis and design techniques for power processing circuits and systems.

1. Explain the fundamental principles of power electronic devices, their characteristics and operating principles
2. Design and analyse basic power electronic circuits such as rectifiers, converters and inverters
3. Explain the operation of EV components and their interrelationships with the overall EV system
4. Identify the different variants of EV components and their characteristics
5. Select components that will work efficiently together as an overall EV solution
6. Apply mathematical models and analysis techniques to predict and optimise the performance of power electronic circuits
7. Employ simulation software tools to model and simulate basic power electronic circuits and systems.

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.

This module introduces students to the concept of automotive electrical and electronic control systems, components, function, operation and fault finding. Specifics are afforded on how modern vehicle electrical circuit power supplies and wiring is shared across the sensors and control modules of different vehicle systems. Ultimately, insight and understanding into the extensive diversity in system types and brands is provided since this is a minimal requirement for associated work on Electric Vehicles.

1. Explain the fundamental principles of control systems and identify the components and functions of different control systems
2. Employ mathematical modelling techniques to analyse the dynamic behaviour and performance of Electrical, Mechanical and Electromechanical Systems
3. Manipulate the transient and steady state performance of various dynamic systems
4. Design classical controllers to improve the transient and steady state performance of dynamic systems according to a desired specification
5. Use fundamentals digital control system principles to identify and apply different techniques in the design of digital controllers
6. Create various linear control algorithms to control the performance of various systems and demonstrate by means of simulation.

This module provides an understanding of automotive high and low voltage systems associated with the extensive diversification in electrified vehicle and system propulsion types. The student interrogates the electric vehicle system operation through physical interaction to the extent of being able to isolate a high voltage system.

1. Evaluate the differences of battery Electric Vehicles, Hybrid Vehicles and Plugin Hybrid Vehicles and their running costs
2. Apply health and safety considerations when working on high voltage vehicles
3. Articulate legal requirements for safe working on high voltage systems
4. Discriminate between charger types, charging methods, battery telemetry, life cycle and repair
5. Identify and explain low voltage systems on a typical EV
6. Identify and explain high voltage systems on a typical EV
7. Safely isolate the high voltage system on an Electric or Hybrid Vehicle.

This module necessitates that the student employ learning gained from the course to date through the assembly and modification of a Formula 24 race car. Specific emphasis is placed on scope of work undertaken with the objective being to instil the needs associated with project coordination, teamwork, planning and delivering to a deadline. The final deliverable is comprised of a physical machine of increased complexity in terms of mechanical spatial design that affords electrified propulsion by means of incorporated externally sourced systems and components.

1. Interrogate compliance rules and procedures namely pertaining to safety, for the production of an electrified vehicle
2. Interpretate manufacturers schematics and construct all aspects of an electrified vehicle as part of a team
3. Critique an assembly for improved design from a mechanical or system perspective
4. Design a system, assembly or component relating to an electrified vehicle
5. Manufacture a system, assembly or component relating to an electrified vehicle
6. Assemble a system, assembly or component on an electrified vehicle
7. Compile a detailed document detailing the conception, design, manufacture, assembly and analysis of an automotive system, assembly or component

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.

This module introduces the student to the diverse array of electrified propulsion motor types and associated control systems. Particular emphasis is placed on operating parameters and control strategies associated with Alternating Current (AC) and Direct Current (DC) Systems.

1. Describe the fundamental principles of EV propulsion systems, namely the basic components of an EV drive system
2. Explain fundamental aspects and characteristics of DC drive systems including components and functions
3. Analyse the characteristics, operating parameters, and performance of various AC drive systems
4. Apply control theory concepts to design effective control strategies for DC and AC drive systems along with simulating their design using appropriate software tools
5. Identify and analyse various DC and AC drive control methods and their applications.

This module provides the learner with an understanding of the fundamental heat transfer principles associated with the thermal management of the battery and cabin on an electrified vehicle. The module digresses into battery chemistry basics and alternative energy sources including Hydrogen Technology.

1. Apply the fundamental concepts and definitions used in thermodynamics
2. 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
3. Evaluate conduction and convection heat transfer in the thermal management of batteries
4. Discriminate between different battery chemistries and their influence on range and longevity
5. Appraise the role of the battery management system in regards to state of charge and thermal management systems.
6. Evaluate hydrogen fuelled transport solutions as an alternative to battery and ICE technologies .

The aim of this module is to provide students with the skills to identify and deliver on the design requirements of an EV or EV System with emphasis on the Formula Student (FS) initiative. Students undertake a project related to the design and creation of a physical, mechanical or electrical systems related aspect of a vehicle whilst conforming to best practice design constraints. The module introduces students to the applied mechanical and system design process including concept proposals, selections, development, planning for manufacture and assembly. Students also formally address ethical and societal impact aspects of their projects.

1. Conduct research pertaining to the creation of a design brief and specification
2. Execute the mechanical and system design process to deliver an optimised solution that considers Function, Cost, DFM and DFA.
3. Specify, size and source components and systems to realise the projected build
4. Generate a CAD representation & working drawings of a machine to industry standards
5. Develop and present a specification document and project plan that considers arising ethical and societal issues.

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.

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 focuses on the analysis and design of control systems used in EV subsystems with a view to improve the vehicle performance and efficiency by means of simulation. Particular emphasis is placed on the importance of sensors and actuators in the role of controlling the various aspects of vehicle performance, with simulation and modelling techniques used to explore and implement them.

1. Design control strategies related to AC & DC motors
2. Create equivalent models for EV batteries with charging and discharging control
3. Correlate the physical fundamentals of the electric vehicle control systems with the virtual equivalent
4. Integrate sensors, actuators and EV control systems
5. Apply simulation modelling techniques to address specific challenges in electric vehicle control systems
6. Optimise electric vehicle control systems by means of modelling simulation.

This module focuses on the function and operation of existing generic high voltage (HV) physical hardware. Emphasis is placed on circuit design principles and a range of test procedures are conducted on low voltage and high voltage circuits.

1. Identify the dangers associated high voltage and know how to approach the circuitry in a safe and controlled manor
2. Interpret manufacturers schematics and documentation pertaining to specific vehicle brands and types
3. Identify, Configure, and Evaluate the Hardware Circuitry Requirement of an EV
4. Design high Voltage Circuits as they relate to an EV
5. Comprehend and diagnose faulty hardware in both the electrical and electronic systems of an EV.

This module provides the learner with experience of building and testing an EV system, component or assembly that has been designed in module 'EV Project Design'. The project entails producing a prototype system that adheres to a set of standards with the objective of ensuring safety and promoting innovative problem solving. The system should be manufactured and assembled as part of a team according to a predefined schedule, then tested and evaluated. Skillsets including procurement, manufacturing, CAM, assembly, programming, diagnostics, troubleshooting testing and documenting are employed.

1. Source components and incorporate according to specifications
2. Solve physical and theoretical problems associated with the production of an electric vehicle
3. Produce a system or assembly that conforms to and compliments a greater team effort
4. Evaluate design methods, assembly methods, function of build and provide recommendation
5. Produce an extensive technical design report and present the operation of a system or assembly according to a deadline.

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.

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.

This module provides the learner with an understanding of principles of Suspension and Chassis Dynamics and how this relates to Electric Vehicle ride and handling. The learner will understand how the mass and location of the battery influences the handling of the vehicle by optimising the suspension design.

1. Evaluate tyre behaviour and the influence of size for optimal ride handling and range
2. Differentiate between various steering and suspension systems and their influence on vehicle response identifying advantages and trade-offs
3. Appraise the location of main components such as motors and their effect on the centre of gravity
4. Ascertain the affect of weight transfer in transient situations involving vehicle dive, squat, roll and yaw on vehicle handling performance with respect to understeer, oversteer and neutral steer
5. Explain suspension spring rates, roll centres, centre of gravity, anti-dive geometry and their effects on yaw, dive, squat and general vehicle stability
6. Comprehend the significance of vehicle packaging in the design process and associated compromises.

Instrumentation driven module. Simulation and modelling pertaining to EV. Focus is on tools, interpretation and validity. Provides a structured approach to software development. Deploying Measurement and Control Instrumentation.

1. Explain concepts and principles of measurement, the importance of instrumentation in engineering applications
2. Demonstrate use of instrumentation including but not limited to the oscilloscope and digital multi-meter etc.
3. Identify suitable instrumentation solutions to address a specific need
4. Integrate instrumentation onto EV rigs or cars
5. Capture data from instrumentation equipment
6. Validate and analyse and captured data.

This module provides students with the opportunity to undertake an independent research project in a selected area pertaining to Electric Vehicle Engineering. The chosen project can be taken 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. Independently 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 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

Be able to design and implement a test bed to determine the reliability of the EV, performance of components, subsystems and the overall sub system integration. Validate electrical compatibility, software, target setting, tolerancing, safety analysis, functional safety.

1. Implement communication protocols for various interfaces
2. Evaluate various network protocols
3. Examine the physical network layout on a given vehicle, evaluate how multiple controllers are connected across the vehicle
4. Retrieve and analyse live vehicle performance data to identify trends
5. Model, simulate, integrate and optimise high voltage components on automotive hardware
6. Test and evaluate a system modification to invoke a predicted system response.

This module provides the opportunity to undertake an independent research project in a selected area of Mechanical Engineering. The aim of this module is to provide the opportunity to apply knowledge gained in Semester 7 module EV Development Project 1 by 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.