Undergraduate Course: Computational Methods for Chemical Engineers 2 (CHEE08011)
Course Outline
| School | School of Engineering |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 8 (Year 2 Undergraduate) |
Availability | Available to all students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | 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 a hand-in exercise. |
| Course description |
The course has two parts.
PART 1 consists of introductory material (week 1 - 5) assessed by a 1 hour computer-based open book class test.
PART 2 consists of more advanced material (week 6 - 10) assessed by a hand-in assignment.
All materials are self-study and online. All learning is supported by weekly drop-in computer lab sessions. For PART 2 additional support is provided in the form of weekly tutorials. An introductory lecture is provided in week 1.
The following subjects will be covered during the course:
Week 1: Introductory Lecture
Week 1 - 5: PART 1, Self-study introductory MATLAB modules, units 1 - 5.
Weeks 6 - 9: PART 2, Application of numerical methods to chemical engineering problems using MATLAB:
Week 6: How to tackle more complex programming tasks, bug fixing.
Week 7: Class Test
Week 7: Solving ODEs numerically
Week 8: Root finding
Week 9: Regression analysis & parameter estimation
Week 10: Revision
Week 11: End of term class-test
Computing Laboratories
Week 1 - 6: Drop-in sessions for PART 1
Week 8 - 10: Drop-in sessions for PART 2
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Information for Visiting Students
| Pre-requisites | None |
| High Demand Course? |
Yes |
Course Delivery Information
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| Academic year 2017/18, Available to all students (SV1)
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Quota: None |
| Course Start |
Semester 1 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 1,
Seminar/Tutorial Hours 10,
Supervised Practical/Workshop/Studio Hours 15,
Formative Assessment Hours 10,
Summative Assessment Hours 2.5,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
59 )
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| Assessment (Further Info) |
Written Exam
0 %,
Coursework
0 %,
Practical Exam
100 %
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| Additional Information (Assessment) |
The course is assessed by an open book mid term class test (50 %) and an end-of-term class test (50 %). |
| Feedback |
Not entered |
| No Exam Information |
Learning Outcomes
On completion of this course, the student 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.
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Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | Not entered |
Contacts
| Course organiser | Dr Martin Sweatman
Tel: (0131 6)51 3573
Email: |
Course secretary | Miss Lorna Brown
Tel: (0131 6)51 7073
Email: |
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