COLLEGE OF ENGINEERING

UNDERGRADUATE STUDENT HANDBOOK

YEAR 2 (FHEQ LEVEL 5)

CHEMICAL ENGINEERING DEGREE PROGRAMMES

PART TWO OF TWO (MODULE AND COURSE STRUCTURE)

2017/18

DISCLAIMER The College has made all reasonable efforts to ensure that the information contained within this publication is accurate and up-to-date when published but can accept no responsibility for any errors or omissions. The College reserves the right to revise, alter or discontinue degree programmes or modules and to amend regulations and procedures at any time, but every effort will be made to notify interested parties. It should be noted that not every module listed in this handbook may be available every year, and changes may be made to the details of the modules. You are advised to contact the College directly if you require further information.

The 2017/18 academic year begins on 25 September 2017

DATES OF 2017/18 TERMS

25 September 2017 – 15 December 2017

08 January 2018 – 23 March 2018

16 April 2018 – 15 June 2018

SEMESTER 1

25 September 2017 – 26 January 2018

SEMESTER 2

29 January 2018 – 15 June 2018

WELCOME 

We would  like  to  extend  a  very warm welcome  to  all  students  for  the 2017/18 academic year and in particular, to those joining the College for the first time. 

The University offers an enviable range of  facilities and resources to enable you to pursue your  chosen  course  of  study  whilst  enjoying  university  life.  In  particular,  the  College  of Engineering offers you an environment where you can develop and extend your knowledge, skills  and  abilities.  The  College  has  excellent  facilities,  offering  extensive  laboratory, workshop and IT equipment and support. The staff in the College, many of whom are world experts  in  their  areas  of  interest,  are  involved  in  many  exciting  projects,  often  in collaboration  with  industry.  The  College  has  excellent  links  with  industry,  with  many companies kindly contributing to the College’s activities through guest lectures and student projects. We have close links with professional engineering bodies and this ensures that our courses  are  in  tune  with  current  thinking  and  meet  the  requirements  of  graduate employers. All the staff are keen to provide a supportive environment for our students and we hope that you will take full advantage of your opportunities and time at Swansea. 

We hope that you will enjoy the next academic session and wish you every success. 

Professor Stephen GR Brown Head of the College of Engineering 

 Professor Johann Sienz Deputy Head of College and Director of Innovation and Engagement 

Professor Cris Arnold Deputy Head of College and Director of Learning and Teaching   Professor Dave Worsley Deputy Head of College and Director of Research 

CHEMICAL ENGINEERING PORTFOLIO DIRECTOR:   Dr Paul Melvyn Williams (paul.melvyn.williams@swansea.ac.uk) Room C205, Engineering Central  YEAR 2 CO‐ORDINATOR:  Dr James Titiloye (j.o.titiloye@swansea.ac.uk) Room C213, Engineering Central 

 

 ADMINISTRATIVE SUPPORT: Should you require administrative support please visit the Engineering Reception, open Monday – Friday 8:30am – 5:00pm and speak with a member of the Student Information Team who will be happy to help.  

       

IMPORTANT INFORMATION 

IMPORTANT – EG‐208, EG‐220 and EG‐230 Please be aware that at Year 2 there are three modules where a student is unable to redeem their failure by a standard resit examination/coursework – EG‐208, EG‐220 and EG‐230. Failure of these modules will mean that the student must repeat the module(s) or repeat the year (subject to progression regulations). Failure to attend classes and activities related to these modules will mean that you fail the module; hence you repeat the module/year (subject to progression regulations). IMPORTANT – EG‐200; EG‐204; These modules are assessed by a combination of examination and coursework. In order for the coursework marks to count, you have to pass the exam component (with at least 40%). If you have less than 40% in the exam, then the module mark will be just the exam mark. If you pass the exam but have failed the coursework, you may still fail the module, depending on the marks achieved, so it is important to do the coursework. The re‐sit (supplementary) is 100% exam based.

Year 2 (FHEQ Level 5) 2017/18Chemical Engineering

BEng Chemical Engineering[H831,H835]MEng Chemical Engineering[H801]

Coordinator: Dr JO Titiloye

Semester 1 Modules Semester 2 ModulesEG-200

Separation Processes10 Credits

Dr RC ButterfieldCORE

EG-203Biochemical Engineering I

10 CreditsDr JJ Ojeda Ledo

EG-206Instrumentation Measurement and Control

10 CreditsDr CO Phillips

EG-204Reactor Design

10 CreditsDr JO Titiloye

COREEG-210

Thermodynamics of Process Design10 CreditsDr S Sarp

EG-208Process Design and Simulation

10 CreditsDr RC Butterfield/Dr CO Phillips/Dr JO Titiloye

EG-211Fluid Flow10 Credits

Prof PR Williams

EG-215Process Modelling

10 CreditsDr R Van Loon

EG-220Process and Pilot Plant Operations A

10 CreditsMr CD Jones/Dr P Esteban/Dr YK Ju-Nam/Dr PM Williams

EG-230Process and Pilot Plant Operations B

20 CreditsMr CD Jones/Dr P Esteban/Dr YK Ju-Nam/Dr CO

Phillips/...

EG-285Statistical Techniques in Engineering

10 CreditsDr M Evans

Total 120 Credits

Year 2 (FHEQ Level 5) 2017/18Chemical Engineering

BEng Chemical Engineering with a year in Industry[H832]MEng Chemical Engineering[H890]

Coordinator: Dr JO Titiloye

Semester 1 Modules Semester 2 ModulesEG-200

Separation Processes10 Credits

Dr RC ButterfieldCORE

EG-203Biochemical Engineering I

10 CreditsDr JJ Ojeda Ledo

EG-206Instrumentation Measurement and Control

10 CreditsDr CO Phillips

EG-204Reactor Design

10 CreditsDr JO Titiloye

COREEG-210

Thermodynamics of Process Design10 CreditsDr S Sarp

EG-208Process Design and Simulation

10 CreditsDr RC Butterfield/Dr CO Phillips/Dr JO Titiloye

EG-211Fluid Flow10 Credits

Prof PR Williams

EG-215Process Modelling

10 CreditsDr R Van Loon

EG-220Process and Pilot Plant Operations A

10 CreditsMr CD Jones/Dr P Esteban/Dr YK Ju-Nam/Dr PM Williams

EG-230Process and Pilot Plant Operations B

20 CreditsMr CD Jones/Dr P Esteban/Dr YK Ju-Nam/Dr CO

Phillips/...

EG-285Statistical Techniques in Engineering

10 CreditsDr M Evans

EG-233Placement Preparation: Engineering Industrial Year

0 CreditsDr GTM Bunting/Dr CME Charbonneau/Prof OJ Guy/Mr CD Jones/Mr P Lindsay/Dr A Rees/...

Total 120 Credits

EG-200 Separation ProcessesCredits: 10 Session: 2017/18 Semester 1 (Sep-Jan Taught)Module Aims: This module aims to give the student the standard methods to solve problems using specific keydesign parameters for a range of separation processes (Distillation, gas-liquid absorption, liquid-liquid extraction andevaporation). The module explains the underlying theoretical background to solving separation problems and thendemonstrates how problems are solved for a range of simple two component systems.Pre-requisite Modules:Co-requisite Modules:Incompatible Modules:Format: Lectures: 20 hours

Example classes/Tutorials/Feed back session on tutorial sheets: 5 hoursDirected private study: 75 hours

Lecturer(s): Dr RC ButterfieldAssessment: Assignment 1 (20%)

Examination 1 (80%)Assessment Description: Formal Examination: 2 hr closed book examination worth 80% taken in January.In Course assessment: Assessed assignment sheets, which are distributed evenly throughout the module, worth a totalof 20%

Specific rules for passing this module:This module is assessed by a combination of examination and coursework. In order for the coursework marks tocount, you have to pass the exam component (with at least 40%). If you have less than 40% in the exam, then themodule mark will be just the exam mark. Any resits are done by a supplementary exam. If you pass the exam but havefailed the coursework, you may still fail the module, depending on the marks achieved, so it is important to do thecoursework.Moderation approach to main assessment: Universal second marking as check or auditFailure Redemption: A supplementary examination will form 100% of the module mark.Assessment Feedback: Feed back is provided during the class tutorials. Model solutions are assignment sheets areprovided. Formal feedback of the examination will be provided following completion of the final exam in line withstandard College of Engineering protocols.Module Content: Distillation: Vapour-liquid equilibrium for binary systems (revision); application and differenttypes of binary distillation systems and equipment. Calculation of number of stages, column height, heat transfer incondenser and reboiler.

Gas Absorption: Application and different types; gas-liquid equilibrium (revision); two film theory; diffusion throughstagnant gas, diffusion in liquid phase; rate of absorption, film and overall coefficients, mass transfer correlations;process design of a column to find the height and diameter of the column, required solvent rate.

Liquid-liquid Extraction: Application and different types; solvent selection. Ternary diagrams; cross-current andcounter-current operations; calcuations to find minimum required solvent.

Evaporation: Application and different types. Heat transfer taking into account boiling point rises for solutions.Equipment selection, single or multiple effect arrangements. Design of evaporator systems to determine requiredarea's of heat transfer and the steam economy.Intended Learning Outcomes: 1. Develop understanding of the physical phenomena, theoretical concepts and designaspects of mass transfer in separation processes, including distillation, gas-liquid absorption, liquid-liquid extractionand evaporation; appreciate that the choice of equipment and process requires consideration of many factors includingeconomic evaluation, materials employed, the equipment design and the physical properties of the chemicals involved(health safety and evironmental impact).

2. Analyse the important separation processes of distillation, gas-liquid absorption, liquid-liquid extraction andevaporation and their operation; carry out design calculations for these processes involving binary systems.

3. Experience problem solving techniques having wider application; apply simplifying assumptions to complexproblems in order to gain useful design information; manage time to meet deadlines.

Reading List: Coulson, J. M, Coulson & Richardson's Chemical engineering: [print and electronic book] Volume 2,Particle technology and separation processes / J.F. Richardson and J.H. Harker with J.R. Backhurst and J.H. Harker,Butterworth/Heinemann, 2002.ISBN: 9780750644457Coulson, J. M, Chemical engineering. Volume 1, Fluid flow, heat transfer and mass transfer / J. Coulson, J. F.Richardson with J.R. Backhurst and J.H. Harker, Butterworth-Heinemann, 1999.ISBN: 9780750644440Treybal, Robert Ewald, Mass-transfer operations / Robert E. Treybal, McGraw-Hill, 1980.Cussler, E. L, Diffusion : mass transfer in fluid systems / E.L. Cussler, Cambridge University Press, 1997.ISBN:0521564778Henley, Ernest J.; Seader, Junior D; Roper, D. Keith, Separation process principles / Ernest J. Henley, J.D. Seader, D.Keith Roper, Wiley, 2011.ISBN: 9780470646113McCabe, Warren L. (Warren Lee); Smith, Julian C. (Julian Cleveland); Harriott, Peter, Unit operations of chemicalengineering/ Warren L. McCabe, Julian C. Smith, Peter Harriott, McGraw Hill, 2001.ISBN: 0070393664Seader, J. D; Henley, Ernest J, Separation process principles / J.D. Seader, Ernest J. Henley, Wiley, 2006.ISBN:9780471464808Backhurst, J. R; Harker, J. H. (John Hadlett); Porter, John Edward, Problems in heat and mass transfer / J.R.Backhurst, J.H. Harker and J.E. Porter, Edward Arnold, 1974.Geankoplis, Christie J, Transport processes and separation process principles : (Includes Unit Operations) / ChristieJohn Geankoplis, Pearson Education Limited, 2013.ISBN: 9781292026022Additional Notes: Available to visiting and exchange students.

The College of Engineering has a ZERO TOLERANCE penalty policy for late submission of all coursework andcontinuous assessment.

This module is assessed by a combination of examination and coursework. In order for the coursework marks tocount, you have to pass the exam component (with at least 40%). If you have less than 40% in the exam, then themodule mark will be just the exam mark. Any resits are done by a supplementary exam. If you pass the exam but havefailed the coursework, you may still fail the module, depending on the marks achieved, so it is important to do thecoursework.

EG-203 Biochemical Engineering ICredits: 10 Session: 2017/18 Semester 2 (Jan - Jun Taught)Module Aims: To provide an understanding of Biochemical Engineering as a sustainable activity concerned with thesafe economic processing of biological materials and feedstocks to make products for a healthy and prosperous qualityof life. Topics will cover biochemical reaction kinetics, fundamentals of enzymatic and microbial processes, reactordesign principles for enzyme and fermentation systems, recovery and purification of products, sterilisation techniques.Pre-requisite Modules:Co-requisite Modules:Incompatible Modules:Format: Lectures 20 hours

Example classes/class tests 10 hoursPrivate study 70 hours

Lecturer(s): Dr JJ Ojeda LedoAssessment: Examination 1 (90%)

Assignment 1 (10%)Assessment Description: The following assessments are all course requirements.(i) Tutorial sheet giving a total of 10% of the final mark.Moderation approach to main assessment: Universal second marking as check or auditFailure Redemption: A failure can be redeemed via a supplementary exam in August - 100% weighting.Assessment Feedback: Feedback is given during the class tutorials by model answers to problems and markedtutorial sheets.

Module Content: Biocatalysts and Biocatalyst Optimisation:Chemical and Biochemical Kinetics, Enzyme inhibition, Enzymatic processes.

Cell Kinetics:Continuous and Batch cultures, Growth phases, Kinetics and stoichiometry of cell growth and product formation.

Bioreactos, Heat and Mass transfer in Biological processes:Bioreactors, Effects of mixing, Diffusion, Bubbling Gas-Liquid reactors, Gas dispersion, Packed bed reactors,Fluidised bed reactors, Heat transfer, Scale-up and its difficulties, scale-down, Inoculation and aseptic operations.

Bioprocess Optimisation:Instrumentation and control of bioprocesses, physical, chemical and biochemical variables, aeration, agitation,downstream processes, cell liquid separation, sterilisation, kinetics of thermal death of cells.

Intended Learning Outcomes: After completing this module students should:

- be able to understand enzyme catalysis and different forms of enzyme inhibition;- be able to understand the principles of cell kinetics, stoichiometry of cell growth and product formation;- be familiar with heat and mass transfer in biological processes, modes of bioreactor operation and their relativemerits;- be familiar with downstream processes, recovery and purification of products, sterilisation techniques;- apply chemical and biological principles to the solution of engineering problems; express ideas in a logical andcoherent manner;

Reading List: Shuler, Michael L, Bioprocess engineering : basic concepts / Michael L. Shuler, Kifret Kargi,2014.ISBN: 9781292025995Coulson, J. M, Chemical engineering / [by] J.M. Coulson and J.F. Richardson. Volume 3, Chemical and biochemicalreactors and process control ; by J.F. Richardson, D.G. Peacock, Pergamon Press, 1994.ISBN: 9780080410036Doran, Pauline M, Bioprocess engineering principles / Pauline M. Doran, Academic Press, 2013.ISBN:9780122208515Bailey, James E, Biochemical engineering fundamentals / James E. Bailey, David F. Ollis, McGraw-Hill, 1986.ISBN:0070666016Atkinson, Bernard, Biochemical engineering and biotechnology handbook / Bernard Atkinson, Ferda Mavituna,Macmillan-Stockton Press, 1991.Stanbury, Peter F, Principles of fermentation technology / Peter F. Stanbury and Allan Whitaker, Pergamon Press,1984.ISBN: 0080244068

Additional Notes: PENALTY: ZERO TOLERANCE FOR LATE SUBMISSION.Photocopies of lecture notes and worked examples are available.Available to visiting and exchange students.

EG-204 Reactor DesignCredits: 10 Session: 2017/18 Semester 2 (Jan - Jun Taught)Module Aims: The chemical reactor is the ‘heart’ of the chemical process and this module aims to demonstrate howthe performance of the reactor is key to successful chemical process design and optimisation. The principles ofchemical equilibrium, reaction kinetics, mass balances and thermodynamics are applied to the design of the basictypes of chemical reactors (batch reactors, tubular flow reactors, and continuous stirred tank reactors) in order to showhow the design of the reactor influences the productivity, selectivity and economics of the chemical process leading tothe development of sustainable production facilities. Practical physical design of tanks and tubular reactors are alsoconsidered, along with typical industrial configurations and relevant safety systems.Pre-requisite Modules:Co-requisite Modules:Incompatible Modules:Format: Lectures 20 hours; Example classes / Tutorials 10 hours; Directed private study 70 hoursLecturer(s): Dr JO TitiloyeAssessment: Examination 1 (80%)

Coursework 1 (20%)Assessment Description: Examination:End of year examination accounting for 80% of the total markCoursework (numerical calculations on various topics delivered throughout the course): 20%

This module is assessed by a combination of examination and coursework. In order for the coursework marks tocount, you have to pass the exam component (with at least 40%). If you have less than 40% in the exam, then themodule mark will be just the exam mark and you will have to resit the exam.

Any resits are done by a supplementary exam only and the module mark is based on resit exam except it is a firstattempt. If you pass the exam but have failed the coursework, you may still fail the module, depending on the marksachieved, so it is important to do the coursework.Moderation approach to main assessment: Universal second marking as check or auditFailure Redemption: A supplementary examination in August will form 100% of the module mark.Assessment Feedback: Informal feedback will be provided during lectures and examples classes. Students willrecieve feedback on submitted coursework assessment. Formal feedback will be provided following completion of thefinal exam in line with standard College of Engineering protocols.Module Content: Introduction: The objectives of reactor design and safety considerations. What constitutes achemical reactor ? Types of industrial reactors, typical operation methodologies and conditions.

Chemical equilibrium and manipulation to achieve higher yields. Chemical kinetics, the rate of reaction, analysis ofchemical data, summary of the rate laws.

Batch reactors: The components and configuration of the batch tank, liquid mixing in vessels and scale-up, solid-liquid mixing in vessels and scale-up, scale-down considerations, modelling the performance of the ideal batch reactorto calculate batch time and production rates, examples of industrial processing from the fine chemicals andpharmaceutical industries, heat transfer in batch vessels including isothermal, non-isothermal and adiabatic modes,safety considerations for batch vessels including reaction enthalpies and adiabatic temperature rise, reactioncalorimetry, control and emergency procedures for batch reactors, design of safe sustainable processes. Mechanicaldesign of batch reactors.

Continuous flow reactors: The components of a continuous flow system, liquid mixing in continuous flow and the useof static mixers, modelling the performance of the ideal continuous reactor (CSTR and PFR) to calculate residencetimes and production rates, examples of industrial processing from the fine chemicals and oil and gas industries, gasreactions in continuous flow, non-ideal behaviour in continuous flow, the F-curve, C-curve and calculation ofdispersion, the tanks in series model. Mechanical design of tubular reactors

So which reactor do I chose, comparative analysis of different reactors, series and parallel reactions, throughputconsiderations and economic sense.

Intended Learning Outcomes: On completion, students should have an understanding and ability to:

• Recognise different reactor types and identify reactors and their components in a laboratory and industrialenvironment.

• Recognise the major safety implications in relation to physical reactor design, raw material handling and chemicalreactions.

• Manipulate data relating to reaction kinetics, reactors design equations, mass and energy balances, Isothermal andnon-isothermal reactor design.

• Select an appropriate reactor type and size for a given duty, including comparative analysis of the alternativeoptions.

• Locate and retrieve chemical and physical properties data relating to reactor design. Outline the procedures andapproach to basic mechanical design of vessels and tubular reactors, including configurations and associatedequipment.Reading List: Roberts, G. W. (George W.), Chemical reactions and chemical reactors / George W. Roberts, JohnWiley & Sons, 2009.ISBN: 0471742201Coulson, J. M, Chemical engineering / [by] J.M. Coulson and J.F. Richardson. Volume 3, Chemical and biochemicalreactors and process control ; by J.F. Richardson, D.G. Peacock, Pergamon Press, 1994.ISBN: 9780080410036Levenspiel, Octave, Chemical reaction engineering / Octave Levenspiel, Wiley, c1999.ISBN: 9780471254249Fogler, H Scott, Elements of chemical reaction engineering / H. Scott Fogler, Pearson, c2014.ISBN: 9781292026169Additional Notes: The College of Engineering has a ZERO TOLERANCE penalty policy for late submission of allcoursework and continuous assessment.Available to visiting and exchange students.Knowledge of chemical kinetics, mass balances and mathematics to 1st year university level is assumed.

This module is assessed by a combination of examination and coursework. In order for the coursework marks tocount, you have to pass the exam component (with at least 40%). If you have less than 40% in the exam, then themodule mark will be just the exam mark and you will have to resit the exam.

Any resits are done by a supplementary exam only and the module mark is based on resit exam except it is a firstattempt. If you pass the exam but have failed the coursework, you may still fail the module, depending on the marksachieved, so it is important to do the coursework.

EG-206 Instrumentation Measurement and ControlCredits: 10 Session: 2017/18 Semester 1 (Sep-Jan Taught)Module Aims: This module aims to develop an understanding of the fundamental principles of measuring elements incommon use in the processing industries, for selecting, specifying, operating and maintaining these instruments,sufficient to communicate effectively with subject experts. To introduce elementary concepts of control from a mainlyqualitative point of view. To develop an understanding of measurement and signal conditioning. To develop anunderstanding of the classification and operation of control valves and valve actuators and related equipment. Todevelop an understanding of pump selection and operation. At the end of this course students should be able tosynthesise and analyse the combined elements of pneumatic and electrical control loops.Pre-requisite Modules:Co-requisite Modules: EG-209Incompatible Modules:Format: Lectures 20 hours; Example classes 5 hours; Directed private study 75 hoursLecturer(s): Dr CO PhillipsAssessment: Examination 1 (90%)

Assignment 1 (10%)Assessment Description:Assignment 1 (This is a group piece of coursework) 10%

Exam 90%Moderation approach to main assessment: Universal second marking as check or auditFailure Redemption: A supplementary examination will form 100% of the module mark.Assessment Feedback: Assignment will be marked and returned to the student within 3 weeks.Module Content: Introduction - Reasons for automation [1], Certification/accreditation [1].Pressure - units, industrial measuring equipment [1].Flow - mechanical, integrating and industrial devices, theory of differential pressure meters, application to examplessuch as venturi, orifice, flow tubes, rotameters. Flow in open channels, flumes and weirs [3]. Pigging systems [1].Temperature - concept of temperature measurement, absolute and reference concepts, examples of industrialinstruments, Principles of radiation pyrometry, examples of optical and total radiation devices. [2]Pumps - Sizing, types, installation, seals and additional equipment. [2]Level - Industrial instruments for liquids and solids, basic coverage floats, probes, switches, [3]PH, Conductivity, Chlorination, Refractive Index, Redox, Brix - Measuring Equipment. [2]Control - introduction of basic principles on-off, open loop, concept of feedback, qualitative characteristics offeedback and feed forward control, introduction to three term PID control, concepts of gain, offset and load change,basic tuning characteristics, measurement, signal transmission.[2]Control valves - operating characteristics, rangeability, turndown ratio, flow-lift, actuation, pneumatic and electricaloperation. [2]Intended Learning Outcomes: • An understanding of the roles of automation and certification in the running of aprocesses plant.• A knowledge and understanding of the fundamental concepts of measurement of temperature, pressure, level andflow with selection of appropriate measurement equipment depending on requirements.• Basic knowledge and understanding of control systems including closed loop control, the principles of PID termcontrollers and operation of control valves.• An understanding of pumping equipment and how it is specified.Reading List:Additional Notes: Available to visiting and exchange students.The College of Engineering has a ZERO TOLERANCE penalty policy for late submission of all coursework andcontinuous assessment.

EG-208 Process Design and SimulationCredits: 10 Session: 2017/18 Semester 2 (Jan - Jun Taught)Module Aims: This module provides consolidation of earlier studies of material and energy balances with extensionto simultaneous heat and mass balances. To introduce the principles of process flow sheeting, using the sequentialmethod for processes without re-cycle, and parallel methods for processes with re-cycle.Pre-requisite Modules:Co-requisite Modules: EG-210Incompatible Modules:Format: Lectures 10 hours; Example classes / Computer Laboratory 30 hours; Directed private study 60 hours

(Case study and project)Lecturer(s): Dr RC Butterfield, Dr CO Phillips, Dr JO TitiloyeAssessment: Coursework 1 (100%)Assessment Description: Assessment is by coursework submission.3 items of tutorial /class exercises for assessment account for 100% . There is no formal examination.Moderation approach to main assessment: Second marking as sampling or moderationFailure Redemption: Due to the fact that proprietary software is used; which can only be accessed while on the BayCampus, it is not possible to redeem a failure in this module.Assessment Feedback: Students will be given continuous feedback during the examples classes on the use of thesimulation software.

Feedback on the assessed work will be given via overall marks and written comments.Module Content: Overview: The module utilizes a process design computer package ASPEN and UniSim to supportlearning in process design and optimization. Case studies grow in complexity culminating in a complete processsimulation exercise with economic and design variable sensitivity study. The laboratory time is hands on computertime.Specific topics are:- Introduction to Computer simulation and financial assessment.- Basic Cost Estimation and Economic Assessment.- A simple flash calculation, by hand and simulator.- Material Streams, energy balances and flow sheeting on computer.- Physical property data bases and predictive methods.- Degrees of freedom in problem solution.- Complex unit operations design.- Design with recycles.- Emphasis on operability & controllability of processes.Intended Learning Outcomes: After completing this module you should be able to• demonstrate a knowledge and understanding of: Specification and the importance of degrees of freedom; Types ofprocess simulators available and physical property data bases and predictive techniques including pinch technology.

• The elements and capabilities of ASPENTECH and UniSim process simulator. Solving problems by iteration.Methods and convergence criteria including Interpreting heat and energy balance output and recognizing viablesolutions.

• Select physical and thermodynamic property packages or predictors suited to the design conditions and dealing withdifferent sets of units. Conceptualise processes made up from individual unit operations and optimize conditions andcombinations.

• Be able to use a design simulator such as ASPEN and UniSim to produce a viable design. To recognise thecapability and limitations of programmes, and understand and respond to error messages.

• Use proprietary software design and simulation packages with confidence. Understand and be able to use thesolution strategy for multi-loop iterative problems.Reading List: Sinnott, R. K, Coulson & Richardson's chemical engineering: [print and electronic book] Volume 6,Chemical engineering design / R.K. Sinnott, Butterworth-Heinemann, 2005.ISBN: 9780750665384Kemp, Ian Cebrary, Inc, Pinch analysis and process integration a user guide on process integration for the efficient useof energy / by Ian Kemp, Butterworth-Heinemann, 2007.ISBN: 0750682604

Additional Notes: NOT available to visiting and exchange students.The College of Engineering has a ZERO TOLERANCE penalty policy for late submission of all coursework andcontinuous assessment.The PC classes that feature in this module are there provide students contact with academic staff and to support thelearning outcomes of the module. Therefore attendance to these classes is highly recommended and will be monitored.It is expected that students should achieve at least 70% attendance.Please note: Due to the fact that proprietary software is used; which can only be accessed while on the Bay Campus, itis not possible to redeem a failure in this module.

EG-210 Thermodynamics of Process DesignCredits: 10 Session: 2017/18 Semester 1 (Sep-Jan Taught)Module Aims: This module continues to develop further the fundamentals of thermodynamics studied in theYear 1 course (EGA114). It will develop the general applications needed in process engineering with particularreference to reactor design, separation processes, flow processes, heat engines and energy balance techniques.Pre-requisite Modules:Co-requisite Modules:Incompatible Modules:Format: Lectures 20 hours

Example classes/Tutorials 10 hoursDirected private study 70 hours

Lecturer(s): Dr S SarpAssessment: Examination 1 (85%)

Coursework 1 (15%)Assessment Description: Examination:End of year examination accounting for 85% of the total mark

Coursework (total 15%):Tutorial Sheet 1 on Sections 1 & 2 of the course (see syllabus) accounting for 7.5% of the total mark.

Tutorial Sheet 2 on Sections 3 & 4 of the course (see syllabus) accounting for 7.5% of the total mark.

Moderation approach to main assessment: Universal second marking as check or auditFailure Redemption: A supplementary examination will form 100% of the module mark.Assessment Feedback: Exam feedback will be given via exam results and the exam feedback forms available on theSwansea University intranet.

Coursework feedback will be given via coursework marks, individual written comments on the coursework scripts andprovision of model answers on the Blackboard website.Module Content: Section 1: Standard states; Ideal and non-ideal equations of state; Generalised compressibilityfactor charts; Systems of gas mixtures; Ideal and non-ideal gas mixtures; Fugacity of gases; Health and safetyimplications of thermodynamic calculations (e.g. design pressures for vessels); Case studies [4].

Section 2: Thermodynamic equations and the 1st and 2nd laws for mathematical modelling of processes; Entropy;Reversible, irreversible and spontaneous systems; Carnot engine, simple air standard cycles for engines, systemefficiency, P-V and T-S diagrams; Steam power cycles, including Rankine cycle, reheat and regeneration systems;refridgeration cycles; Case studies [6].

Section 3: Clausius-Clapeyron equation; Gibbs free energy; Chemical potential and activities; Maxwell's equations;Chemical reaction equilibria: free energy of reactions; reaction and equilibrium isotherms; Van't Hoff isochore andisotherm. Case studies of chemical equilibria for industrial catalytic reaction systems for chemical product design [5].

Section 4: Phase equilibria for separation process engineering design; Thermodynamics of molecular mixtures(enthalpy, entropy, free-energy and volume); General liquid-vapour equilibrium models; Bubble and dew pointprediction and the De-Priester nomogram; Ideal and non-ideal mixtures; Models for predicting activity coefficients ofliquid solutions (Van-Laar, Wilson etc.); Maximum and minimum boiling-point mixtures; Azeotropes and distillation;Henry's Law; Effects of pressure, temperature and composition on equilibria. Case studies [5].Intended Learning Outcomes: Upon completion of this module students should:1) be able to demonstrate knowledge and understanding of the essential facts, concepts, theories and principles ofthermodynamics2) have the knowledge to apply appropriate science, engineering and mathematical tools to the analysis of problemsarising in thermodynamics3) have an understanding of the wider context of the underlying theory of thermodynamics, including its applicationsto engineering design and application to real world problems

Reading List: Eastop, T. D, Applied thermodynamics for engineering technologists / T. D. Eastop and A. McConkey,Longman, 1993.ISBN: 0582091934Smith, J. M, Introduction to chemical engineering thermodynamics, McGraw-Hill, c2005.ISBN: 9780071247085Fundamentals of engineering thermodynamics / Michael J. Moran ... [et al.], Wiley, 2011.ISBN: 9780470917688Felder, Richard M.; Rousseau, Ronald W, Elementary principles of chemical processes / Richard M. Felder, RonaldW. Rousseau, J. Wiley & Sons, 2005.ISBN: 9780471375876Additional Notes: The College of Engineering has a ZERO TOLERANCE penalty policy for late submission of allcoursework and continuous assessment.Available to visiting and exchange students.This module will be suppported with Blackboard.

EG-211 Fluid FlowCredits: 10 Session: 2017/18 Semester 1 (Sep-Jan Taught)Module Aims: This module aims to extend the previous Fluid Mechanics (EG-160) module, to introduce the flow offluids around particles, through porous media, pipes and devices (with special reference to the design and operation ofdifferential head flowmeters) to provide a balance between theory and practical aspects of equipment used in chemicalengineering, such as mixing impellers (with special reference to the Rushton-turbine type mixer) and packed beds(spherical particles). The module also addresses elements of non-Newtonian fluid flow in terms of the Power-LawModel and the Bingham-Plastic Model (for yield stress materials) and considers the flow of these materials in pipes.Pre-requisite Modules: EG-160Co-requisite Modules:Incompatible Modules:Format: Lectures 20 hours

Example classes / Tutorials 4 hoursDirected private study 76 hours

Lecturer(s): Prof PR WilliamsAssessment: Examination 1 (90%)

Coursework 1 (10%)Assessment Description: Coursework includes numerical problems directly related to taught material. Courseworkcovers the principal headings of course and will be set as two pieces of individual work.Moderation approach to main assessment: Universal second marking as check or auditFailure Redemption: A supplementary examination will form 100% of the module mark.Assessment Feedback: Marked coursework is handed back to students and discussed.Module Content: Module content: [lecture hours]Basic Conservation EquationsFlow MeasurementFluid Agitation and MixingLaminar Flow in Newtonian and non-Newtonian FluidsFlow around submerged Bodies, including wings, drag, lift, etcPorous MediaSimilarity. Concept of dynamic similarity and its significance in practical fluid mechanics, Reynolds, Froudenumbers, model testing.Intended Learning Outcomes: A knowledge and understanding of:Basic conservation equations, flow measurement, agitation and mixing, laminar flow in Newtonian and non-Newtonian fluids, flow around submerged bodies and similarity.

An ability to: identify flow types and from first principles derive solutions for a wide variety of fluid flow problems.

An ability to: apply conservation equations appropriately to analyse fluid flow behaviour. Use dimensional analysisand similarity concepts and apply them to engineering fluid flow problems. Solve problems in the areas of flowmeasurement and laminar flow for Newtonian and non-Newtonian fluids as well as for flows around submergedbodies and in porous media.

An ability to: study independently, use library resources and manage working time.Reading List: Munson, Bruce Roy, Fundamentals of fluid mechanics: SI units / Bruce Munson, Donald F. Young andTheodore H. Okiishi, Wiley, 2009.ISBN: 9780470398814Coulson, J. M, Coulson & Richardson's Chemical engineering: [print and electronic book] Volume 2, Particletechnology and separation processes / J.F. Richardson and J.H. Harker with J.R. Backhurst and J.H. Harker,Butterworth/Heinemann, 2002.ISBN: 9780750644457Coulson, J. M, Chemical engineering. Volume 1, Fluid flow, heat transfer and mass transfer / J. Coulson, J. F.Richardson with J.R. Backhurst and J.H. Harker, Butterworth-Heinemann, 1999.ISBN: 9780750644440Massey, B. S, Mechanics of fluids / Bernard S. Massey ; revised by John Ward-Smith, Spon Press, 2012.ISBN:9780415602600Massey, B. S, Mechanics of fluids [electronic book] / Bernard Massey ; revised by John Ward-Smith, Taylor &Francis, 2006.ISBN: 9780203012321Additional Notes: PENALTY: ZERO TOLERANCE FOR LATE SUBMISSION.

Available to visiting and exchange students.

EG-215 Process ModellingCredits: 10 Session: 2017/18 Semester 2 (Jan - Jun Taught)Module Aims: The module aims to develop the ability to construct mathematical models of processes so as to be ableto predict their performance and optimise their design. Models of simple processes will lead to ordinary (or partial)differential equations, with special reference to biochemical and biomedical engineering processes, as well asenvironmental and general engineering systems..Pre-requisite Modules: EG-160; EG-189; EG-190Co-requisite Modules:Incompatible Modules:Format: Lectures:20 hours

Example classes: 10 hoursRevision: 3 hours

Lecturer(s): Dr R Van LoonAssessment: Examination 1 (85%)

Assignment 1 (15%)Assessment Description: The assignment will be set in week 4 or 5. The emphasis of this assignment will lie onconservation laws and the formulation of ODEs from them for a given process.

The examination will consist of 3 questions, all of which need to be solved. The examination will be closed book.Moderation approach to main assessment: Universal second marking as check or auditFailure Redemption: A supplementary examination will form 100% of the module mark.Assessment Feedback: The students will receive their marked work back and the answers to the assignment will bediscussed in class. Typical mistakes will be highlighted to prevent repetition in the final exam.

Feedback on the final examination is via the University feedback form.Module Content: Module content: [lecture hours]

Introduction to process modelling: Purpose of modelling, Making assumptions, Deriving ODEs from conservationlaws, Dependent, independent variables and parameters, steady versus unsteady problems [4]

Analytical Solution of Ordinary Differential Equations (ODEs): Revision and extension with emphasis on recognitionof order, degree and linearity as determinant of method of solution. Homogeneous versus non-homogeneousequations. Linear and non-linear first order equations. 2nd order equations with x or y missing. Linear nth orderequations with constant coefficients. [4]

Solving non-linear problems: Second order equations, Fixed point iterations, Newton Raphson (derivation andapplication) [4]

Numerical Solution of ODEs: When numerical methods are needed. Euler (explicit and implicit) methods. Computerarithmetic and round-off error. Numerical stability and accuracy. Truncation error by Taylor expansion; accumulatedtruncation and round-off error as functions of step size. Runge-Kutta methods [6]

Example problems:mixing in a continuous stirred tank (CST), heating/cooling in a continuous stirred tank (CST),fluidisation/sedimentation, draining/filling a tank

Intended Learning Outcomes: A knowledge and understanding of: How ordinary and partial differential equationscan be defined from conservation laws and how they can be used to describe simple chemical and biochemicalengineering processes with a view to understanding the process, predicting its performance and optimising its design.The processes will mostly involve fluid dynamics, mixing/reaction and heat transfer problems typically found inbioprocesses, and one learning outcome will be a reinforced and deeper understanding of these fundamental areas,already introduced in other modules.

An ability to: Analyse a process to decide what variables are present and what scientific laws govern it. Define amodel based on conservation laws with an awareness of the assumptions made and the validity of the model.Recognise whether modelling will lead to an algebraic equation, an ODE or a PDE. Distinguish betweendimensionally homogeneous and inhomogeneous equations and avoid the pitfalls of the latter. Solve the differentialequations using either numerical or analytical techniques. Interpret the results by sketching a graph of the solution, bymanipulation of the final equation(s) and by relating these equations to the physics in the process. Finally, use theequations to predict/control the physical process. Analyse physical processes. Define, solve and use mathematicalmodels to enhance the understanding of the physical process. Use basic numerical and analytical techniques to solveODEs. Reason logically. Perform and check calculations.Reading List: Chapra, Steven C, Numerical methods for engineers / Steven C. Chapra, Raymond P. Canale,McGraw-Hill Higher Education ;, 2009.ISBN: 9780071267595Nagle, R. Kent, Fundamentals of differential equations / R. Kent Nagle, Edward B. Saff and Arthur David Snider,Pearson Education, 2012.ISBN: 9780321758200Kreyszig, Erwin, Advanced engineering mathematics / Erwin Kreyszig, John Wiley, c2006.ISBN: 0471488852Additional Notes: Available to visiting and exchange students.

The College of Engineering has a ZERO TOLERANCE penalty policy for late submission of all coursework andcontinuous assessment.

Notes, worked examples and past papers for this module can be found on Blackboard.

EG-220 Process and Pilot Plant Operations ACredits: 10 Session: 2017/18 Semester 1 (Sep-Jan Taught)Module Aims: This module supports and amplifies lectures by providing practical experience of process equipment,its operation, performance and construction. The two components of the module are Equipment Assembly (EA1) andSite Visits. EA1 is carried out in groups of approximately 5 or 6 and the site visits are usually conducted with groupsof 5 (with a total of 15 people on each site visit). The module involves a range of activities to enhance team work,report writing, time management and presentation skills as well as to further the understanding of subjects covered intaught modules.Pre-requisite Modules:Co-requisite Modules:Incompatible Modules:Format: Equipment Assembly (EA1) classes 2 × 7.5 hours; Site Visits 1 × 7 hours.Lecturer(s): Mr CD Jones, Dr P Esteban, Dr YK Ju-Nam, Dr PM WilliamsAssessment: Coursework 1 (60%)

Coursework 2 (40%)Assessment Description: Coursework 1 (60%): EA1 - This includes attendance, and organisation of project,construction, commissioning and start-up – judged by inspection of completed project, log-book content and anoperating manual.

Coursework 2 (40%): Site Visit - The students will be in a group (5 members) and the group for each site visit willwrite a report for that site visit or on an associated industrial process topic.Moderation approach to main assessment: Second marking as sampling or moderationFailure Redemption: Due to the nature of this module (2 days in the lab and a day for an industrial site visit), IT ISNOT POSSIBLE to redeem a failure in this module.Assessment Feedback: Verbal feedback is given throughout the module during lab sessions and site visits. Studentsare advised throughout the module on what is expected. Written feedback will be given on the final EA1 and sitereport documents.Module Content: EA1: The project will cover the planning and assembly of a small scale rig with the tasks including:Safety and risk analysis; Safe working techniques; Preparing a 'safe working' plan; The use of basic hand tools; Thedesign and construction of a support frame; Planning the piping layout; Procedures for the installation of mediumscale process equipment including pumps, valves, regulators, heat exchangers and instruments; Preparing a basiccommissioning and start-up plan; Selection of valve types; The installation of a pump taking into account the primingand suction head requirements; Selection and installation of suitable instruments.

Site Visit: The students will go on 1 industrial site visit each. Typical sites and study subjects: Small and mediumsized hygienic enterprises; Large scale hygienic enterprises; Impact of a process on the environment; Processoperation (preparation of an FDS); Health and safety in the business; Report writing.

Intended Learning Outcomes: After completing this module you should be able to demonstrate a knowledge andunderstanding of:- The operation of real process equipment on a pilot plant scale.- Placing industrial processes in the context of previous experience.- Identifying the characteristic elements including unit operations of industrial processes, manufacturing andoperational practice for a range of processes.- The context in which industrial processes function in terms of their scale, throughput, raw material, supply chain andquality of process and products.- The context in which industrial management functions in terms of health and safety, codes of practice, environment,personnel and regulatory frameworks.- The impact of engineering solutions and processes in a global and social context.

Develop an ability to:- Analyse processes to identify operating characteristics of previously un-encountered systems.- Apply knowledge of science and engineering to processes.- Analyse a strategy for risk and hazard evaluation and the implications of the best practical means of achievingdesired objectives.- Explain a strategy to academic and technical staff and co-workers.- Perform risk and safety analyses.- Maintain a diary of events.- Work with limited/uncertain information.- Identify components on sight.- Make sketches, drawings and PFD’s proficiently.- Perform calculations and convert units.- Work in a team and exhibit leadership skills.- Communicate effectively.- Demonstrate time management through project planning.Reading List:Additional Notes: NOT AVAILABLE TO VISITING AND EXCHANGE STUDENTS.

The College of Engineering has a ZERO TOLERANCE penalty policy for late submission of all coursework andcontinuous assessment.

EG-230 Process and Pilot Plant Operations BCredits: 20 Session: 2017/18 Semester 2 (Jan - Jun Taught)Module Aims: This module supports and amplifies lectures by providing practical experience of process equipment,its operation and performance. The Unit Operations Laboratory (UOL) experiments are carried out in pairs. Themodule involves a range of activities to enhance team work, report writing and time management skills as well asdeveloping further the understanding of subjects covered in taught modules.Pre-requisite Modules:Co-requisite Modules:Incompatible Modules:Format: 1 Introductory Lecture 2 hours; Unit Operations Laboratory (UOL) classes 4 × 8 hoursLecturer(s): Mr CD Jones, Dr P Esteban, Dr YK Ju-Nam, Dr CO Phillips, Dr PM WilliamsAssessment: Assignment 1 (25%)

Assignment 2 (25%)Assignment 3 (25%)Assignment 3 (25%)

Assessment Description: Coursework 1: UOL - Each pair of students carries out 4 experiments.

The marking criteria for each experiment conducted is as follows:

laboratory notebook (25 marks), report (60 marks), summary of reports (15 marks)

The students are assessed as a pair so teamwork is vital.Moderation approach to main assessment: Second marking as sampling or moderationFailure Redemption: Due to the nature of this module (4 day long lab sessions) IT IS NOT POSSIBLE to redeem afailure in this module.Assessment Feedback: Verbal feedback is given throughout the module during lab sessions. Students are advisedthroughout the module on what is expected.

Unit Operations: Lab books are marked at the end of each session. Reports are marked and returned to the studentsprior to the next laboratory session. Staff and demonstrators continually monitor and advise the students during thelaboratory session.Module Content: Students prepare, conduct and write up experiments on major unit operations of processengineering. The equipment is of industrial pilot plant scale. The laboratory work provides practical demonstrations ofphysical processes studied in lecture courses, and experience in the application of theory to the analysis of unitoperations. Several key transferable skills are developed, including teamwork and time management. The UnitOperations Laboratory also provides intellectual challenge, opportunities for independent thinking, and motivation tostudy process engineering. The experiments will be a selection from the following unit operations: Fluid flow (pipeflow or air duct); Heat transfer (air-water or water-water heat exchanger); Distillation and absorption (bubble-cap,packed bed or wetted wall column); Evaporation (forced circulation or climbing film); Process thermodynamics (heatpump or combustion); Miscellaneous (chemical reactor, process control, liquid mixing, water cooling tower, fluidisedbed or membrane filtration).Intended Learning Outcomes: On completion of this module, the students would be expected:• to be familiar with a range of process equipment unit operations;• to be familiar with the characteristic elements of process apparatus including valves, steam traps, flow meters,pressure and temperature meters and transmitters;• to be aware of health and safety in the laboratory and perform risk assessments;• to be able to run experiments and collect data;• to have an appreciation of, and be able to calculate, experimental errors;• to have practised data analysis and comparison with theory;• to know how to write technical reports;• to have developed skills in team working and time management;• to be able to analyse previously un-encountered theory and/or practice by reference to handouts, books or otherinformation sources.Reading List: Pentz, Mike. Shott, Milo, Chapter 2. Errors, Open University Press.Additional Notes: NOT AVAILABLE TO VISITING OR EXCHANGE STUDENTS.

The College of Engineering has a ZERO TOLERANCE penalty policy for late submission of all coursework andcontinuous assessment.

EG-233 Placement Preparation: Engineering Industrial YearCredits: 0 Session: 2017/18 Semester 1 and Semester 2Module Aims: This generic cross-disciplinary module is for all students who have enrolled (or transferred) onto theEngineering Year in Industry scheme. The module focuses on the underpinning and fundamental requisites required togain, enter and progress effectively through an industrial placement. Learners will be introduced to a) sourcingplacements, CV writing and application techniques; (b) interview Techniques - how to pitch yourself and besuccessful; (c) workplace fundamentals and IP awareness, behaviours and expectations; (d) key employability skills;getting the most from your Industrial Placement; and (e) health and safety in the workplace.Pre-requisite Modules:Co-requisite Modules:Incompatible Modules:Format: 11 hours consisting of a mix of seminars and workshops. 11 one hour drop-in advice sessions. Review of

CV and cover letter.Lecturer(s): Dr GTM Bunting, Dr CME Charbonneau, Prof OJ Guy, Mr CD Jones, Mr P Lindsay, Dr A Rees, Dr SARolland, Dr G Todeschini, Dr CAC WoodAssessment: Placements (100%)Assessment Description: Students are required to attend the health and safety lecture. Students who do not attend andhave no valid reason will not be permitted to continue on an Engineering Industrial Placement Year programme ofstudy.Moderation approach to main assessment: Not applicableFailure Redemption: Successful completion of this module depends upon attendance at, and engagement with, thehealth and safety lecture. Therefore there will normally be no opportunity to redeem failure. However, specialprovision will be made for students with extenuating or special circumstances.Assessment Feedback: N/A

However, students will be able to discuss and seek feedback / advice on their search for an industrial placement duringthe drop-in sessions.Module Content: The module will focus on the key requirements to gain and be successful whilst on a placement.Directed and self-directed activity will address the following topics;

1) Engineering Industrial Placements - what they are, how to search and how to apply.

2) CV writing, cover letters and application processes.

3) Assessment centres, interview techniques and mock interview.

4) Recognising and developing employability skills.

5) Reflecting and maximising the placement experience.

6) One to one meeting with careers and employability staff.

7) Health and safety in the workplace.Intended Learning Outcomes: By the end of this module, students will:

1) Know how to find and apply for placements, create a CV and complete a placement application.

2) Understand the interview process and gain interview experience.

3) Discuss and share what is expected within the workplace including behavioural and professional conduct.

4) Identify personal employability skills and how these will be used in a workplace setting.Reading List:Additional Notes: Module code reserved by Tracey Bailey on 17/02/2016 11:22:07

This module is only available for students enrolled on the Engineering Year in Industry scheme.

EG-285 Statistical Techniques in EngineeringCredits: 10 Session: 2017/18 Semester 1 (Sep-Jan Taught)Module Aims: This module offers a balanced, streamlined one-semester introduction to Engineering Statistics thatemphasizes the statistical tools most needed by practicing engineers. Using real engineering problems with real datataken from engineering journal publications, students see how statistics fits within the methods of engineeringproblem solving. The module teaches students how to think like an engineer when analyzing real data.

Assignments, answered through blackboard, tailored to each engineering discipline, are intended to simulate problemsthat students will encounter professionally during their future careers. Emphasis is placed on Excel as a computerenvironment for tackling engineering problems that require the use of statistics.Pre-requisite Modules:Co-requisite Modules:Incompatible Modules:Format: Lectures: 20 hours

Computer-based example classes: 11 hoursDirected private study 35 hoursPreparation for assessment 34 hours

Lecturer(s): Dr M EvansAssessment: Coursework 1 (15%)

Coursework 2 (25%)Coursework 3 (25%)Coursework 4 (35%)

Assessment Description: Coursework 1 (contributes 15% to module grade). Students will work on a dataset/information related to their engineering discipline.Students will receive a series of multiple choice questions viaBlackboard and will be expected to use Excel to find the answer these questions. Questions will be related to units 1.Coursework 2 (contributes 25% to module grade). Students will work on a data set/information related to theirengineering discipline.Students will receive a series of multiple choice questions via Blackboard and will be expectedto use Excel to find the answer these questions. Questions will be related to unit 2.Coursework 3 (contributes 25% to module grade). Students will tackle a series of multiple choice questions usingExcel and submit their work via Blackboard. Students will work on a data set/information related to their engineeringdiscipline.Students will receive a series of multiple choice questions via Blackboard and will be expected to use Excelto find the answer these questions. Questions will be related to units 3&4Coursework 4 (contributes 35% to module grade). Students will work on a data set/information related to theirengineering discipline.Students will receive a series of multiple choice questions via Blackboard and will be expectedto use Excel to find the answer these questions. Questions will be related to unit 5.Moderation approach to main assessment: Universal second marking as check or auditFailure Redemption: Students will be offered 1 assignment to complete over the summer vacation. This will be inthe form of a 10 page report and the module grade will then be determined by this submission only .Assessment Feedback: Students will receive their grades, together with models answers, within 3 weeks ofsubmission.

Module Content: Unit 1: SamplesSample Statistics: Engineering method and statistical thinking (variability), mean, standard deviation, median, inter-quartile range and mode.Data Displays: Stem-and-Leaf displays, box plots and histograms.

Unit 2: Modelling the Random Behaviour of PopulationsProbability. The addition rule and mutual exclusivity, the product rule and independence, applications to product &process reliability..Discrete Random Variables. Random variables, the binomial distribution, the Poisson distribution and the hypergeometric distribution.Continuous Random Variables. The uniform, normal, triangular, exponential Weibull and chi square distributions.

Unit 3: EstimationPopulations and Sampling. Distinction between a population and a sample, population parameters and samplestatistics, random sampling from a population, computer simulation of a random sample.Sample estimates of population parameters. The method of moments.Empirical Distributions: The distribution chi square test and probability plots.Sample estimates of population parameters. The least squares method and linear regression analysis.Sampling Distributions. Illustrating the concept of a sampling distribution, the central limit theorem and the reliabilityof sample estimates through computer simulation.

Unit 4: Hypothesis TestingBasic Concepts, the null and alternative hypothesis, the significance level and the power of a test.Non - Parametric Testing. The sign test and Tukey test.Parametric Testing. Inference for a single mean, inference for two independent samples, inference for two dependentsamples, determining required sample sizes, inference for variances.Confidence Intervals.

Unit 5: Model Building and Regression AnalysisCorrelation & Non-Linear Regression Analysis. The correlation coefficient, types of non linear models used withinengineering, and non-linear regression through data transformations,Multiple Regression and Diagnostics. Multiple linear regression; adjusted R2; statistical significance of modelparameter, residual analysis.Process Optimisation. The second order response surface model, simplification, on target optimisation with minimumvariation, the mean square error.

A practical class will follow each week, where directed study will be provided to highlight how the techniques learntin each lecture can be applied to Chemical and Materials engineering problems within Excel.

Intended Learning Outcomes: Appreciate the use and applicability of statistical analysis in engineering.Ability to use Excel's statistical functions.Ability to build probabilistic (life) models.Ability to optimize manufacturing process and improve quality.Statistical thinking and structured problem solving capabilities.Think about, understand and deal with variability.Reading List: Hayter, Anthony J, Probability and statistics for engineers and scientists / Anthony Hayter,Brooks/Cole, Cengage Learning, 2012.ISBN: 9781133112143Holman, J. P, What every engineer should know about Excel / J.P. Holman, CRC/Taylor & Francis, 2006.ISBN:9780849373268Vining, G. Geoffrey, Statistical methods for engineers / Geoffrey Vining, Scott Kowalski, Cengage Learning,2011.ISBN: 9780538737234Additional Notes: PENALTY: ZERO TOLERANCE FOR LATE SUBMISSION

Attendance at computer classes is compulsory.The module is only for students within the College of Engineering.Notes, worked examples and assignments can be found on Blackboard.