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Curricular information is subject to change
On 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. Critically analyse engineering data, using appropriate statistical techniques (characterization of normal and log-normal distributions, linear regression analysis, confidence intervals, t-tests, F-tests, chi-squared test, ANOVA), implemented using EXCEL, where appropriate;
3. Quantitatively estimate the uncertainty in experimentally-determined quantities;
4. Effectively undertake independent study, in a discipline-related topic;
5. Collate and meaningfully present engineering information and data;
6. Describe and apply basic principles of Statistical Process Control;
Student Effort Type | Hours |
---|---|
Lectures | 36 |
Tutorial | 12 |
Practical | 6 |
Autonomous Student Learning | 66 |
Total | 120 |
Not applicable to this module.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Assignment: Sets of questions for the topics covered in the 2nd part of the module | Throughout the Trimester | n/a | Standard conversion grade scale 40% | No | 20 |
Examination: End-of-Semester Examination | Unspecified | Yes | Standard conversion grade scale 40% | No | 40 |
Examination: Short Quizzes or MCQs for each topic covered in the 1st part of the module | Throughout the Trimester | No | Standard 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.
Name | Role |
---|---|
Dr Recep Kaan Dereli | Lecturer / Co-Lecturer |