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 the module is, to use the methods of analysis most frequently used in DC multi source networks, to see how basic components and circuits respond to frequency variations in AC circuits, and to be able to use a transformer as an impedance matching device.

1. Operate standard laboratory equipment and test instruments
2. Construct circuits from schematic diagrams on prototyping boards
3. Use a suitable computer simulation package as an aid to understand circuit operation
4. Analyse DC circuits using fundamental laws, rules & theorems
5. Design transformers for impedance matching
6. Communicate technical content to non-specialists

The module will introduce the learner to the concepts and skills of programming in C. Students will implement key C programming concepts on microcontroller systems and on the desktop PC. Learners will develop skills in designing and implementing software solutions to basic engineering problems using a teamwork methodology.

1. Write small meaningful C programs that include major control structures
2. Interface and utilise electronic components using C programs on microcontroller systems
3. Explain key concepts of programming in embedded systems
4. Construct flowcharts and pseudo code and demonstrate logic to solve a given task
5. Develop and implement C programs for a desktop PC incorporating control flow, functions and files
6. Debug C programs on a microcontroller and a desktop PC

This module will introduce the student to the basic concept of the communications system. It will provide a fundamental analysis of signals and how they are represented in the time and frequency domain. An introduction to modulation and its associated circuitry will provide an understanding into how data is transported over distance through cable and air. The real problem of noise in communications systems is quantified and analysed and the importance of figures of merits such as signal to noise ratio are explained with noise figure analysis at a system level.

1. Calculate the power of electronic signals in watts and dBW
2. Perform Fourier analysis on basic signals to develop spectra
3. Design and perform power efficiency analysis of basic modulation circuits
4. Determine the system noise figure for Superheterodyne receivers and understand how to improve it
5. Use communications test equipment to analyze system performance
6. Communicate technical content to non-specialists

This module builds on the information gained in the Analogue Electronics 1 module in semester 2 and hopes to extend the learners knowledge of electronic devices. In addition, it will introduce the student to the key concepts of project design.

1. Analyse and describe common operational amplifier circuits.
2. Explain the implications of non-ideal properties on op-amp circuit performance.
3. Perform an analysis on certain linear and non-linear op-amp circuits.
4. Evaluate the performance of circuits using standard lab equipment through build and test.
5. Use computer simulations of circuits to illustrate their operation and properties.
6. Gather & analyse information from manufacturers data sheets and other resources.
7. Develop and present a project planning structure.
8. Prototype and test a range of project sub sections.
9. Produce an interim technical report, detailing the project aims, design and development to date.
10. Implement a simple printed circuit board layout of a circuit design using specialist software packages.

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 the module is to give the learner an understanding of the generation and use of an alternating voltage, to use the most frequently used methods of analysis and to develop a working knowledge of motors and generators.

1. Analyse AC circuits using fundamental laws, rules & theorems.
2. Determine the power in a circuit or system and any power correction if necessary.
3. Investigate the advantages of three phase generation over single phase generation.
4. Investigate the design of electrical motors and generators.
5. Differentiate between the various types of energy generation.
6. Communicate technical information to non-specialists.

The module aims to introduce students to microcontrollers, their architecture, programming and applications.

1. Use an Integrated Development Environment (IDE) to write, compile, download and debug microcontroller programs.
2. Describe the internal architecture of a typical microcontroller.
3. Interface external devices to a microcontroller.
4. Write C/assembly language programs to implement functions such as I/O, parallel and serial data transfer, logical operations, bit masking, bit shifting, etc
5. Implement a simple microcontroller-based measurement/monitoring/reporting system.
6. Analyse & gather information from data sheets.

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.

The aim of this module is to further develop the learner's knowledge in the area of Analogue Circuit Design and to improve the students troubleshooting, fault finding and testing skills. To enhance the students' ability to document, compile and present a comprehensive technical report. To produce a quality piece of electronic equipment (Project) and provide the student with a platform on which to apply information gained in other course modules.

1. Design and analyse a simple linear regulated power supply.
2. Examine the frequency response of standard amplifier circuits and represent it graphically (Bode plot).
3. Construct and analyse basic oscillator circuits.
4. Source, interpret and apply information gained from datasheets and technical specifications.
5. Demonstrate the ability to design a PCB.
6. Discuss ethical and environmental issues arising from their project.
7. Produce a technical report, detailing the project aims, design and development.
8. Construct, troubleshoot and test, to component level, a finished project.

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 provide students with the skills to research developments in their engineering discipline. The module aims to introduce students to new concepts that will support their learning in related modules. Students will formally address ethical and societal impact aspects of their projects. Students will initiate the implementation of their design solutions in this module.

1. Complete a detailed study in particular areas of their engineering discipline
2. Discuss ethical issues arising from their project
3. Identify potential societal impact of their proposed project
4. Identify potential systems solutions to technical problems and specifications
5. Develop and present a specification document and project plan for a project

The module aims to:
Introduce learners to Programmable Logic devices, and Hardware Description Languages (HDLs), with the main emphasis on FPGAs and VHDL. Allow learners to fully describe/implement a range of Synchronous\Asynchronous Digital circuits on Programmable Logic Devices (FPGAs). Allow learners to test their VHDL designs, by both synthesis and simulation. Develop learners' knowledge of microcontroller systems, their programming, and the use of internal and external peripherals to a microcontroller.

1. Decompose a software/design problem into simpler/smaller parts.
2. Gather and present data in a meaningful way.
3. Design and implement synchronous circuits on FPGAs using VHDL.
4. Use pre-existing VHDL components to develop more complex VHDL structures/devices.
5. Design/Write VHDL testbenches to test VHDL designs by simulation.
6. Differentiate between VHDL for synthesis and for simulation.
7. Incorporate simple self-testing into VHDL testbenches.
8. Implement basic Finite State Machines on FPGAs using VHDL.
9. Configure/control internal and external microcontroller peripherals via software.
10. Design and implement (in both hardware and software) a basic microcontroller user interface LCD, Keypad and serial communications link.

This course aims to address the efficient error free and secure delivery of information using binary data streams. The student will learn how to convert analogue sources of information into efficient digital format. For efficiency, the information source is coded to reduce redundancy. To minimise the effects of errors, channel coding is employed. Digital modulation is introduced together with the concept of multi-level modulation and performance comparison in terms of the Eb/No required to deliver a given BER. The aim is to present the basic theory and objectives of each of these steps, together with the basics of information theory. Transmission of signals through the various media is presented with a study of Electromagnetic waves, transmission line propagation, line coding, and an analysis of various cable types.

1. Derive and calculate the S/N ratio for PCM systems
2. Develop efficient source codes using entropy calculations
3. Derive a channel code to detect and correct single bit errors
4. Apply basic information theory to calculate channel capacity for given modulation schemes and BER
5. Communicate technical information to non-specialists
6. Use lab equipment to test system performance

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 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 increase the students' knowledge of electronics and computer technology. The module aims to allow students to develop their knowledge and skills in applying concepts and tools from the other programme modules. The module will include the completion of the project initiated in Project I.

1. Develop design solutions to specific technical problems
2. Implement solutions on various platforms
3. Document and present a design process
4. Document and present key issues and problems within an implementation
5. Develop personal skills in communications and self-organisation

This module aims to:
Broaden the learner's understanding and experience of certain areas of analogue electronics. Introduce a more theoretical dimension to the learner's knowledge of electronics. Introduce the learner to thyristors, switching voltage regulators, switching mode power supplies, power flow control and associated issues. Explore issues in both analogue and digital filtering. Use a circuit simulation package to understand/appreciate circuit operation.

1. Describe the operation of Field Effect Transistors- JFET and MOSFET – and contrast them with their bipolar counterparts.
2. Analyse and design a selection of active analogue filters and associated circuits.
3. Explain aliasing issues when sampling an analogue signal Nyquist sampling frequency.
4. Implement digital filters and analyse their fundamental properties order, BIBO stability, frequency response.
5. Describe the use of thyristors in power flow control and understand EMI generation by switching circuits.
6. Describe the operation of a typical SMPS system.
7. Understand the principle of operation of switching regulators Buck, Boost and Buck-Boost regulation.
8. Perform computer simulations of circuits to illustrate their operation and properties.
9. Gather & analyse information from manufacturers data sheets and other resources.

This module will allow the student to acquire knowledge of the technology and the physical, MAC and network layers of three major wireless communication systems: cellular systems (mobile phone), satellite communications, and LAN and WLAN (802.11). The students will learn some analytical techniques for these systems including link budget analyses, signal to interference calculations, traffic capacity. To complement this the module will provide
measurement.

1. Design and analyse performance of common antennas such as dipoles, log periodic, and reflector antennas
2. Explain the fundamental principles underlying satellite communications
3. Design a satellite link using link budget analyses and Microsoft excel
4. Calculate the frequency reuse factor and cluster size that should be used for maximum capacity and a given signal to interference ratio in cellular communications
5. Perform signal to interference noise analysis on WLAN/WiFi network
6. Calculate the Return Loss at the input or output port of a mis-matched 2 port network.

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

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 aim of this module is to give students the opportunity to undertake an independent research project in a selected area of Embedded Systems. Students will develop and complete a project on a research topic of their choice and will formulate a research plan in consultation with their supervisor. Students will also learn to conduct a critical
literature review and present their results in written and oral forms.The topic must be relevant to the engineering discipline being studied but can be chosen from a very broad range whether it be based in Industry or within the Institute

1. Describe the scientific, mathematical and engineering principles relevant to the project;
2. Conduct a technical literature review;
3. Identify specific research objectives and formulate a research plan;
4. Design an appropriate engineering solution to address the project objective;
5. Manage the execution of an engineering project in a limited time;
6. Collaborate with supervisor, co-workers and/or support staff to achieve a technical solution;
7. Present the research project and results via written technical reports and oral presentation
8. Engage with and observe applicable ethical considerations relating to their project content, personal conduct and the delivery of project components.

The aim of this module is to increase the student’s knowledge of microcontroller systems and peripherals, sensor interfacing, control and data acquisition, USB, I2C and SPI design & digital design using microcontrollers & FPGAs. The module will allow the student to use the latest Digital Design Software tools and fully implement systems using
hardware and software.

1. Employ Microcontroller Peripherals and low power techniques in sensor system designs
2. Design and Implement Microcontroller based state machines
3. Develop solutions to industrial, agricultural and domestic problems
4. Design and Implement USB, I2C and SPI Designs
5. Design and Implement Bluetooth Low Energy based designs
6. Extract appropriate information from data sheets

This module aims to provide the student with the major building blocks required to represent and quantify signals in embedded wireless sensor networks. Firstly, the student is introduced to the technical concepts and challenges that arise out of the growth of wireless sensor networks in our personal, working, and social environments. The student will develop basic probability theory learned through previous modules to use random variables, stochastic processes and information theory to represent wireless signals as random processes to allow signal detection and estimation. Key to designing low power wireless is successful propagation of an RF wireless signal through an environment with line of sight obstructed by buildings, terrain, and people. This module will allow the student to understand and use propagation models to quantify common signal paths. The Medium Access Control (MAC) protocol which allows devices to fairly accessing the radio channel will be studied with a particular emphasis on the MACs of ultra-low power wireless systems: Bluetooth Low Energy, Zigbee (802.15.4) etc. Finally, techniques for efficient use of communication channels for digital communication are explored.

1. Explain the increasing impact on our lives of wireless sensor technology deployed on our bodies and in our personal, working, and social environments.
2. Solve and analyse problems involving wireless signals represented by Ricean, Gaussian, or Rayleigh probability distribution functions.
3. Estimate the range of low power wireless signals through various environments using Path Loss Models.
4. Calculate the power efficiency of low power MAC applied to low power wireless system.
5. Analyse the performance of techniques such as spread spectrum, OFDM, and diversity, to improve the efficiency of digital communications through noisy channels.

Enhance the learner's knowledge of Hardware Description Languages with the main emphasis on VHDL. Allow the student to use Digital Software Design packages to design, test, and implement digital systems using VHDL. Allow the learner to design, write, and test advanced VHDL testbenches, including the use of files for input stimuli and results, testbench self-checking, etc. Explore various options for program data storage/manipulation, structures, pointers, various types of linked lists, etc.

1. Decompose a software problem into simpler/smaller parts. Use user-written subprograms/packages and components in VHDL projects. Reuse code
2. Write scalable/parameterised VHDL descriptions of devices using Generic declarations.
3. Write advanced testbenches, with file input/output and self-checking, to analyse/assess VHDL designs, by simulation
4. Design/Implement complex Finite State Machines in VHDL.
5. Write C programs to manipulate large amounts of data using suitable programming strategies.
6. Document and present their designs.

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 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.

The aim of this module is to give students the opportunity to complete the research undertaken in L8 Design Project and to develop all aspects of the project solution. Students will present their work in written, oral and poster formats.

1. Design an appropriate engineering solution to address the project objective
2. Implement solutions through analysis, simulation and/or experimentation
3. Analyse results, discuss critically and draw appropriate conclusions
4. Manage the execution of an engineering project in a limited time
5. Collaborate with supervisor, co-workers and/or support staff to achieve a technical solution
6. Present the research project and results to both specialist and non-specialist audiences through written technical reports, oral presentation and poster presentation
7. Engage with and observe applicable ethical considerations relating to their project content, personal conduct and the delivery of project components.

To increase the student's knowledge of Embedded Systems Design in the areas of low power internet enabled embedded systems, Mixed Signal Array applications, Touch Control and the implementation of a RTOS on a microcontroller. The module will allow the student to use the latest Embedded Processor, Internet Enabled Systems Design Tools and Mixed Array Development Tools to fully implement systems using hardware and software.

1. Develop IoT applications using a recognised Cloud Service.
2. Design and build a low power sensor application with connection to a LPWAN
3. Create and test Mixed Signal Array applications.
4. Design and implement RTOS applications
5. Develop Touch sensing applications
6. Extract appropriate information from data sheets

This module aims to give the student an understanding of the 'Internet of Things' (IoT) by providing an analysis of the existing and emerging low power wireless technologies that underpin these networks. The physical layer of established low power wireless technologies used to connect sensor networks in smart homes, cities, remote health, the environment, and industry 4.0 such as Bluetooth and Zigbee ,will be compared to those of the emerging Low Power Wide Area Network (LPWAN) systems, such as LoRa, NB IoT, SigFox, LTE CAT-M and the future 5G networks. The growth of embedded systems and the Internet of Things is dependent on ever smaller and smarter conformal antenna design. Emerging antennas and design solutions will be investigated in this module. Key to the networking of many very small ultra-low power wireless devices embedded in our lives and environment are new lightweight routing protocols which perform power efficient routing in mobile mesh networks. Underpinning the networking of embedded wireless devices is the understanding of queueing and queuing theory.

1. Quantify and compare the performance the physical layers of ultra-low power wireless systems used in IoT.
2. Explain how the low power wide area networks (LPWANs) aimed at Internet of Things achieves significantly longer range than standard ISM wireless systems.
3. Design and analyse the performance of low power small aperture antennas for wireless embedded applications including BAN applications
4. Model routing protocols required for wireless sensor networks (WSNs).
5. Build and analyse embedded mesh and star networks interfaced with internet.

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