Six Sigma 1 ‑ Introduction to Lean Sigma quality aims to provide learners with an understanding of the tools and techniques of quality that are used in the attainment of a six-sigma quality environment. The principal goal of Six Sigma is to reduce variation in the process and improve quality. Through practical examples and exercises, learners will become proficient in the use of the basic problem-solving techniques used to monitor and control processes. The topics include: the Six Sigma DMAIC problem-solving process, Lean principles, FMEA's and risk management, the seven traditional quality tools, surveys, descriptive statistics and an introduction to inferential statistics. The module now includes lectures on Minitab – the industry-leading Six Sigma statistical software.

This module is also designed to meet the requirements of the Six Sigma Yellow belt award. This module aligns with the internationally recognised Six Sigma Green Belt body of knowledge from the American Society for Quality (ASQ) and also from Quality America.

As this is an online course, the majority of students are working in industry.

1. Describe why organisations use Six Sigma andthe Design for Six Sigma (DFSS) and DMAIC improvement methodology.
2. Define and describe Lean concepts and tools
3. Define, select and use the seven quality tools for problems solving, prioritising problems and improving processes. eg. Cause & Effect, Scatter Plots and Pareto charts.
4. Define, select and use the seven (new) management and planning tools. eg. Affinity diagrams, matrix diagrams and tree diagrams
5. Generate FMEAs and understand how they are used in risk management.

6. Calculate process performance metrics such as DPU, FTY, DPMO and Cost of Poor Quality (COPQ).
7. Collect and summarise data using surveys, descriptive and inferential statistics and graphical methods.

This module covers Heat Transfer fundamentals, Vapour Compression cycle, metrological aspects, Hot and Cool room layout design and Advanced HVAC systems for Data Rooms, Water chemistry fundamentals, Water treatment technologies.

1. (KK) Understands the relationship between Heat Transfer fundamentals & thermodynamics principles and the practice of data centres facilities engineering.
2. (KB) Has sufficient knowledge and understanding of thermodynamics and heat transfer principles to solve common facilities engineering problems for data centres
3. (KHSR)Can understand the principles of the operation of water treatment technologies and water chemistry that are core to the field of data centres facilities engineering
4. (CR)Can exercise independent technical judgement in the analysis of data and implement of engineering solutions.
5. (KH & SS) Can identify, review and select techniques, procedures and methods in the area of cooling technologies and water treatment in data centres.

The student will be introduced to SCADA software development systems and the techniques employed in their configuration and deployment

1. Acquire the necessary skills to produce visual models of real world events
2. Demonstrate a proficiency in the design and development of a HMI
3. Broaden a knowledge of the theory behind and techniques employed in program design
4. Use visual programming techniques (i.e. Labview) to interface with industrial hardware
5. Understand the functiona and application of computer protocols
6. Understand the deployment of SCADA software for the development of increasingly complex tasks.
7. Understand the function and application of the OSI protocol.
8. Be able to implement remote telemetry over a Client/Server architecture.
9. Understand OPC Server and Client communication.

Control Principles module aims to introduce the learner to the technology required to design and build a control system for data centers. It will also cover areas regarding the communication of sensor outputs over networks and how to extract the data from the sensors via programming and other technologies.

1. (KB,CC,CR) Demonstrate a good knowledge of bus protocols such as Profi-Bus, Profi-Net, Modbus TRU, RS232, HART, CAN.
2. (KB,CC,CR,KH&SS) Define common electrical units, describe electrical terms, laws and relationships.
3. (KB,CC) Describe the electrical characteristics, and applications of PN junction diodes, LEDs and transistors, with loadlines.
4. (KB,CC,KH&SS) Describe the principles of operation, construction, characteristics, and use of a selection of components, including common sensors and actuators.
5. (KB,CC,KH&SR,KH&SS,CR) Demonstrate the use of key technologies such as C, LabView, PLC, HMI used in the design of control systems.

This module develops the student's ability to manage the energy, including auditing, services and facilities of a data centre. It also aims to develop an understanding of the functions associated with the management of maintenance and facilities, the nature and source of problems encountered and the mechanisms for ensuring compatibility in HVAC, fire protection and tier levels.

1. (KK) Understands the operational practice and roles of facilities engineering as applied to data centres , including codes of practice, the assessment of hazards, operational safety and environmental issues, energy auditing etc.

2. (KB)Has knowledge of ISO 5000, IPMVP, and JRC EU \”Code of Conduct\” for Data Centres and other relevant codes of practice from relevant authority.

3. (CC)Can interpret and apply Data Centre Performance metrics (PUE) and energy management power meters and metrics in the maintenance of control and energy systems, using soft and/or hard technologies as applied to facilities engineers role in data centres.

4. (CR)Can exercise independent technical judgement and plan for eventualities in the management of operations, Security system, maintenance, fire detection and suppression systems.

5. (CLL)Can identify gaps in personal knowledge, understanding and skills and identify appropriate means of gaining these attributes in their role as a facilities engineer, operator and manager for data centres.

Successful projects will demonstrate competence in reserch, design, assessemnt/analysius and reporting. Topics can include one or more of the following: measurement, data centre performance, energy management & metrics. HVAC prototype design/build, Simulation of Data Centre energy use, power system risk/reliabilities studies. Energy Efficiancy Perfroamnce Imprvement opportunity assessment, free air cooling. The Data Centre Project places emphasis on research rather than simply building a prototype of HVAC/data centre model.

The module runs full‑year with 10 credits and is full-academic year based

1. (KB)In consultation with assigned supervisor, select an area of research interest suitable for development into a L7 Data Centre project.
2. (KB, CR, CC & KHSR) Use appropriate peerreviewed academic resources to research the area of interest and to summarise the findings in a literature review

3. (KB, CR, CC & KHSR) Use the research from 2 above to develop appropriate research question and develop an appropriate project to address the research questions.
4. (CR, CC & KHSR) Assess the potential safety hazards associated with the project and complete the corresponding risk assessment form
5. (KB) Select and sourcesuitable hardware and softwareand design, build and test a project to answer certain research questions.

6. (KB) Draw appropriate conclusions from the project in relation to the research questionsComplete a project report documenting the projectresearch, results and conclusions

The objective of the module is to facilitate basic concepts of ac circuits and apply these to electrical generation, transmission, distribution and overall power system operation. Students develop and apply these concepts further to transformer configurations, reactive compensation, overhead and underground power transmission and distribution systems and electrical power system theory. All concepts are discussed and illustrated through continuous assessment and real-world examples.

1. 1. (KB,CC) An ability to analyse AC electric circuits with basic components of inductance, capacitance and resistance using the phasor method including power factor correction

2. 2. (KB, CR) Demonstrate an understandingof the power grid system and ability to differentiatebetween generation, transmission and distribution in terms of regulation, control and economics

3. 3. (KB, CR, CC, KHSR) Demonstrate strong technical knowledge of power systems, quality and reliability of supply and substation operation including transformers, multi voltage switchgear, harmonics,protection, safety and earthing/permitting processes.

4. 4. (KB & CC) Understand the processes involved in conventional and renewable generation worldwide, ability to calculate metrics associated with supply and apply independent thinking on the viability of a system

5. 5. (KB, CR, KHSR) Demonstrate knowledge of electrical power theory

6. 6. (KB, CR, CC, KHSR) Develop technical understanding of IEC 30134 and role of ISO 50015

7. 7. (KB, CR, KHSR) Understanding of design process when making changes to the Grid,including environmental, economic andtechnical constraints

This module consists of topics from Integral and Differential Calculus, Linear Algebra and Complex Numbers. These topics include differential equations and applications, Laplace Transforms, De Moivre's Theorem, Fourier Transforms, Gaussian Elimination and z-transforms.

1. Solve first order differential equations using separable variables technique and the integrating factor method
2. Solve first and second order differential equations using Laplace transforms
3. Solve second order differential equations using the complementary function and particular integral methods.
4. Calculate powers of complex numbers using theorems of DeMoivre and Euler.
5. Solve linear systems using Gaussian Elimination and apply this to engineering problems

6. Be able to obtain the z-Transform of some standard functions and solve first order difference equations.
7. Evaluate eigenvalues and eigenvetors and solve matrix transformation problems