Undergraduate Course: Mathematics for Chem Eng 3 (MATH08019)
Course Outline
| School |
School of Mathematics |
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 |
Mathematics |
Other subject area |
Mathematics for Physical Science & Engineering |
| Course website |
https://info.maths.ed.ac.uk/teaching.html
|
Taught in Gaelic? |
No |
| Course description |
Partial differentiation: gradient, chain rule, convective derivative, polar coordinates, higher derivatives. Applications to tangent planes and normals, errors and optimisation, including Lagrange multipliers. Ordinary differential equations: separable, linear, second order equations with constant coefficients, resonance and systems of equations. Linear programming, including the simplex method. |
Information for Visiting Students
| Pre-requisites |
None |
| Displayed in Visiting Students Prospectus? |
Yes |
Course Delivery Information
|
| Delivery period: 2010/11 Semester 1, Available to all students (SV1)
|
WebCT enabled: Yes |
Quota: None |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| King's Buildings | Lecture | | 1-11 | | 10:00 - 10:50 | | | | | King's Buildings | Lecture | | 1-11 | | | | 10:00 - 10:50 | |
| First Class |
Week 1, Tuesday, 10:00 - 10:50, Zone: King's Buildings. Geology/Geophysics, Lecture Theatre 201 |
| Additional information |
Tutorials: W at 0900 hrs |
| Exam Information |
| Exam Diet |
Paper Name |
Hours:Minutes |
Stationery Requirements |
Comments |
| Main Exam Diet S1 (December) | Mathematics for Chem Eng 3 | 1:30 | Nil. No YAF | | | Resit Exam Diet (August) | | 1:30 | nil. No YAF. | |
Summary of Intended Learning Outcomes
1. An ability to solve second-order ODE's with constant coefficients, including the determination of particular solutions.
2. An understanding of partial differentiation and differentials.
3. An appreciation of constrained and unconstrained maxima/minima.
4. An understanding of basic linear programming and optimization.
|
Assessment Information
| Coursework: 15%; Degree Examination: 85% |
Special Arrangements
| None |
Additional Information
| Academic description |
Not entered |
| Syllabus |
Not entered |
| Transferable skills |
Not entered |
| Reading list |
Not entered |
| Study Abroad |
Not entered |
| Study Pattern |
Not entered |
| Keywords |
mc3 |
Contacts
| Course organiser |
Dr Nikola Popovic
Tel:
Email: Nikola.Popovic@ed.ac.uk |
Course secretary |
Mrs Gillian Law
Tel: (0131 6)50 5085
Email: G.Law@ed.ac.uk |
|
copyright 2011 The University of Edinburgh -
13 January 2011 6:19 am
|
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