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Degree Regulations & Programmes of Study 2010/2011
- ARCHIVE as at 1 September 2010 for reference only
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DRPS : Course Catalogue : School of Mathematics : Mathematics

Undergraduate Course: Applicable Mathematics 3 (Phys Sci) (MATH08015)

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 08 (Year 2 Undergraduate) Credits 10
Home subject area Mathematics Other subject area Mathematics for Physical Science & Engineering
Course website http://student.maths.ed.ac.uk
Course description Linear algebraic equations. Matrix algebra, transpose and inverse, LU decomposition. Determinants, with applications. Vector spaces, linear independence basis and dimension. Change of basis, linear transformations. Scalar products, orthogonality, inner product spaces. Eigenvalues and eigenvectors, diagonalisation.
Entry Requirements
Pre-requisites Students MUST have passed: Applicable Mathematics 2 (MATH08031) OR ( Geometry & Convergence (MATH08003) AND Group Theory: An Introduction to Abstract Mathematics (MATH08004))
Co-requisites
Prohibited Combinations Students MUST NOT also be taking Mathematics for Informatics 3a (MATH08042) OR Mathematics for Informatics 3b (MATH08043) OR Applicable Mathematics 3 (Inf) (MATH08026) OR Linear Algebra (MATH08007)
Other requirements None
Additional Costs None
Information for Visiting Students
Pre-requisites None
Prospectus website http://www.ed.ac.uk/studying/visiting-exchange/courses
Course Delivery Information
Delivery period: 2010/11 Semester 1, Available to all students (SV1) WebCT enabled:  No Quota:  0
Location Activity Description Weeks Monday Tuesday Wednesday Thursday Friday
King's BuildingsLecture1-11 12:10 - 13:00
King's BuildingsLecture1-11 12:10 - 13:00
First Class First class information not currently available
Additional information Tutorials: M at 1000, 1110 and 1210 (shared with MAT-2-mm3)
Summary of Intended Learning Outcomes
1. An understanding of how to do basic linear algebra on matrices
2. An understanding of the concept of a vector space as a generalisation of the idea of a vector
3. Ability to calculate eigenvalues and eigenvectors and understand their significance
Assessment Information
Coursework: 15%; Degree Examination: 85%; at least 40% must be achieved in each component.
Please see Visiting Student Prospectus website for Visiting Student Assessment information
Special Arrangements
Not entered
Contacts
Course organiser Dr Joan Simon Soler
Tel: (0131 6)50 8571
Email: J.Simon@ed.ac.uk		 Course secretary Mrs Karen Downie
Tel: (0131 6)50 5793
Email: K.Downie@ed.ac.uk
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copyright 2010 The University of Edinburgh - 1 September 2010 6:17 am