Learning Outcomes:

Upon completion of this module, students should be able to:

1. Demonstrate a practical and analytical understanding of the principles of engineering measurement (i.e. temperature, pressure, flow, fluid rheology, particle size distribution) as applied to heat transfer, mass transfer, fluid flow and particulate processes;
2. Collate and meaningfully present/visualize engineering information and data;
3. Critically analyse engineering data and apply data science techniques (characterization of distributions, linear regression analysis, confidence intervals, hypothesis testing), by using EXCEL and/or SPSS, where appropriate;
4. Quantitatively estimate the uncertainty in experimentally determined quantities;
5. Effectively undertake independent study, on a discipline-related topic;
6. Describe and apply basic principles of Statistical Process Control.

Indicative Module Content:

• Introduction to Engineering Measurement
- Review of units
- Measurement principles: accuracy, precision, reproducibility, instrument calibration
- Introduction to the quantitative transfer of materials
- Use of the steam tables

• Basic Principles of Measuring Devices
- Pressure measurement
- Temperature measurement
- Particle size measurements
- Introduction to the use of spectrophotometers
- Flow measurement in pipelines
- Rheological characterization of fluids
• Introduction to Engineering Applications
- Pumping Fluids

• Data Science
- The engineering method
- Basic presentation and analysis of engineering data
- Linear regression (simple and multivariate)
- Quantitative evaluation of experimental uncertainties
- Basics of probability
- Probability density functions
- Descriptive statistics
- The normal and Log-normal distribution
- Confidence intervals on the mean and variance
- Sampling distributions
- Hypothesis testing: t-test, chi-squared test, f-test, p-values
- Statistical errors (Type I&II)
- Analysis of variance (ANOVA)
- Statistical process control

Student Effort Type	Hours
Lectures	36
Tutorial	12
Practical	6
Autonomous Student Learning	66
Total	120

Not applicable to this module.

Co-requisite:
CHEN20080 - Chem & Bioprocess Eng Lab 1


 

Assessment Strategy  

Description	Timing		Component Scale		% of Final Grade
Examination: Short Quizzes or MCQs for each topic covered in the 1st part of the module	Throughout the Trimester	No	Alternative linear conversion grade scale 40%	No	40
Assignment: Sets of questions for the topics covered in the 2nd part of the module	Throughout the Trimester	n/a	Alternative linear conversion grade scale 40%	No	20
Examination: End-of-Trimester Examination	2 hour End of Trimester Exam	Yes	Alternative linear conversion grade scale 40%	No	40

 

Resit In	Terminal Exam
Spring	Yes - 2 Hour

• Feedback individually to students, on an activity or draft prior to summative assessment
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
• Online automated feedback

Not yet recorded.

Chemical Engineering Textbooks
Coulson, J.M., Richardson, J.F., Backhurst, J.R. & Harker, J.R. (1999) Coulson and Richardson’s Chemical Engineering, Volume 1 (6th Ed.). Oxford: Butterworth Heinemann.
Coulson, J.M., Richardson, J.F. & Sinnott, R.K. (1999) Coulson and Richardson’s Chemical Engineering, Volume 6 (4th Ed.). Oxford: Butterworth Heinemann.
Felder, R.M. & Rousseau, R.W. (2000) Elementary Principles of Chemical Processes (3rd Ed.). New York: John Wiley & Sons. (*CD included)
McCabe, W., Smith, J. & Harriott, P. (2005) Unit Operations of Chemical Engineering (7th Ed.). New York: McGraw Hill.
Çengel, Y.A., Cimbala, J.M. (2014) Fluid Mechanics and Applications, Third Edition. McGraw Hill.

Chemical and Biochemical Engineering Reference Handbooks
Atkinson, B. & Mavituna, F. (1991) Biochemical Engineering and Biotechnology Handbook (2nd Ed.). England: Macmillan.
Perry, R.H. & Green, D.W. (eds.) (1997) Perry’s Chemical Engineers Handbook (7th Ed.). New York: McGraw-Hill.

Steam Tables
Rogers, G.F.C. & Mayhew, Y.R. (1995) Thermodynamic and Transport Properties of Fluids (5th Ed.). Oxford: Blackwell.

Experimental Methods
Holman, J.P. (2001) Experimental Methods for Engineers (7th Ed.). New York: McGraw Hill.

Statistics
Montgomery, D.C., Runger, G.C. & Hubele, N.F. (1998) Engineering Statistics. New York: Wiley & Sons.
Levine, D.M., Ramsey, P.P. & Smidt, R.K. (2001) Applied Statistics for Engineers and Scientists Using Microsoft Excel and Minitab. New Jersey: Prentice Hall.

Name	Role
Dr Recep Kaan Dereli	Lecturer / Co-Lecturer

Autumn
Lecture	Offering 1	Week(s) - Autumn: All Weeks	Fri 11:00 - 12:50
Lecture	Offering 1	Week(s) - 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12	Mon 13:00 - 13:50
Tutorial	Offering 1	Week(s) - Autumn: All Weeks	Thurs 10:00 - 10:50
Autumn