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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2014/2015
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DRPS : Course Catalogue : School of Mathematics : Mathematics

Undergraduate Course: Mathematics for Chem Eng 3 (MATH08019)

This course will be closed from 31 July 2013

Course Outline
SchoolSchool of Mathematics CollegeCollege of Science and Engineering
Course typeStandard AvailabilityAvailable to all students
Credit level (Normal year taken)SCQF Level 8 (Year 2 Undergraduate) Credits10
Home subject areaMathematics Other subject areaMathematics for Physical Science & Engineering
Course website https://info.maths.ed.ac.uk/teaching.html Taught in Gaelic?No
Course descriptionTHIS COURSE IS FOR RETAKING STUDENTS ONLY, IT IS NOT AVAILABLE TO NEW STUDENTS

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.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Students MUST have passed: Mathematical Methods 2 (MATH08032) OR ( Practical Calculus (MATH08001) AND Solving Equations (MATH08002) AND Geometry & Convergence (MATH08003) AND Group Theory: An Introduction to Abstract Mathematics (MATH08004))
Co-requisites
Prohibited Combinations Students MUST NOT also be taking Several Variable Calculus (MATH08006) OR Methods of Applied Mathematics (MATH08035) OR Mathematics for Elec/Mech Eng 3 (MATH08033)
Other requirements None
Additional Costs None
Information for Visiting Students
Pre-requisitesNone
Displayed in Visiting Students Prospectus?No
Course Delivery Information
Not being delivered
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
Examination 100%
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
Keywordsmc3
Contacts
Course organiserDr Tom Mackay
Tel: (0131 6)50 5058
Email: 		Course secretaryMrs Gillian Law
Tel: (0131 6)50 5085
Email:
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