Undergraduate Course: Computational Methods for Chemical Engineers 2 (CHEE08011)
Course Outline
| School | School of Engineering |
College | College of Science and Engineering |
| Course type | Standard |
Availability | Available to all students |
| Credit level (Normal year taken) | SCQF Level 8 (Year 2 Undergraduate) |
Credits | 10 |
| Home subject area | Chemical |
Other subject area | None |
| Course website |
None |
Taught in Gaelic? | No |
| Course description | For the first five weeks, the students work on a self-study MATLAB module which will consist of five individual units. The individual units will be concluded by competence based self tests so that the students can test whether they understood the concepts and are able to apply them. These units will be supported by weekly computing drop-in sessions. The learning outcomes of the module will be assessed by a computer-based class test.
The second half of the course focuses on the application of numerical methods in a chemical engineering context. The learning outcomes of this part of the course will be assessed by completion of the weekly computing labs weeks 6 - 9 and a hand-in exercise. |
Information for Visiting Students
| Pre-requisites | None |
| Displayed in Visiting Students Prospectus? | Yes |
Course Delivery Information
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| Delivery period: 2014/15 Semester 1, Available to all students (SV1)
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Learn enabled: Yes |
Quota: None |
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Web Timetable |
Web Timetable |
| Course Start Date |
15/09/2014 |
| Breakdown of Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 11,
Supervised Practical/Workshop/Studio Hours 30,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
57 )
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| Additional Notes |
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| Breakdown of Assessment Methods (Further Info) |
Written Exam
0 %,
Coursework
80 %,
Practical Exam
20 %
|
| No Exam Information |
Summary of Intended Learning Outcomes
After completing this course, students will be able to:
* demonstrate proficiency in the basics and fundamentals of MATLAB
* demonstrate ability to construct computer algorithms for implementation in MATLAB programs
* apply MATLAB and numerical methods to a variety of problems in a chemical engineering context |
Assessment Information
| The course is continuously assessed by an open book class test (50 %), completion of weekly computing labs (20 %), a hand-in exercise (30 %). |
Special Arrangements
| None |
Additional Information
| Academic description |
Not entered |
| Syllabus |
The course comprises a self-study MATLAB module (week 1 - 5) assessed by a 1 hour computer-based open book class test, 10 lectures (weeks 6 - 10), 4 compulsory computing labs (assessed by the successful completion of the tasks) and 6 drop-in computing sessions. The application of numerical methods to chemical engineering problems is assessed by a hand-in exercise.
Lectures
The following subjects will be covered during the course:
Week 1 - 5: Self-study MATLAB module, units 1 - 5
Week 1: Introductory Lecture
Weeks 6 - 9: Application of numerical methods to chemical engineering problems using MATLAB:
Week 6: How to tackle more complex programming tasks
Week 7: Solving ODEs numerically
Week 8: Root finding
Week 9: Regression analysis & parameter estimation
Week 10: Hand-in exercise
Week 11: Electronic submission of hand-in exercise
Laboratories
Week 1 - 5: Drop-in sessions about the MATLAB module
Week 6: More complex programming tasks: Equations of state
Week 7: ODE solvers in MATLAB: Irreversible reactions in a batch reactor; Solving stiff ODEs with MATLAB, Flight of a parachutist
Week 8: Root finding: Bubble point calculation; Terminal velocity of falling particles in a liquid; Reactions with multiple steady states.
Week 9: Parameter estimation: Fitting different polynomials to thermal conductivity data and deciding which correlation fits best; Fitting a rate equation to initial rate datal; Enzyme kinetics |
| Transferable skills |
Not entered |
| Reading list |
Not entered |
| Study Abroad |
Not entered |
| Study Pattern |
Not entered |
| Keywords | Not entered |
Contacts
| Course organiser | Dr Martin Sweatman
Tel: (0131 6)51 3573
Email: Martin.Sweatman@ed.ac.uk |
Course secretary | Miss Lucy Davie
Tel: (0131 6)50 5687
Email: Lucy.Davie@ed.ac.uk |
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