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Degree Regulations & Programmes of Study 2010/2011
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DRPS : Course Catalogue : School of Mathematics : Mathematics

Undergraduate Course: Solving Equations (MATH08002)

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 1 Undergraduate) Credits 10
Home subject area Mathematics Other subject area Specialist Mathematics & Statistics (Year 1)
Course website http://student.maths.ed.ac.uk
Course description Core first year course for Honours Degrees in Mathematics and/or Statistics. Syllabus summary: Sets and functions, elementary combinatorics, powers, trigonometric and hyperbolic functions, logarithmic and exponential functions, complex numbers, polynomials, matrices, solving systems of linear equations, determinants, eigenvalues and eigenvectors.
Entry Requirements
Pre-requisites Co-requisites
Prohibited Combinations Students MUST NOT also be taking Mathematics for Informatics 1a (MATH08046) OR Mathematics for Informatics 1b (MINF08001) AND Applicable Mathematics 1 (MATH08027) OR Applicable Mathematics 1 (Foundation) (MATH08028)
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:  Yes Quota:  272
Location Activity Description Weeks Monday Tuesday Wednesday Thursday Friday
CentralLecture1-11 12:10 - 13:00
CentralLecture1-11 12:10 - 13:00
First Class Week 1, Wednesday, 12:10 - 13:00, Zone: Central. David Hume Tower, Lecture Theatre A
Additional information Tutorials: Tu at 1110 and 1210.
Summary of Intended Learning Outcomes
1. Fluent facility in the use of the logarithm and exponential functions, trigonometric and hyperbolic functions, complex numbers.
2. Ability to find the general solution to systems of linear equations by Gaussian elimination.
3. Ability to perform algebraic manipulations with matrices.
4. Ability to calculate determinants, eigenvalues and eigenvectors of n x n matrices (up to n=3 in practice, larger n in principle or with computer assistance).
Assessment Information
Coursework (which may include a Project): 15%; Degree Examination: 85%.
Visiting Student Variant Assessment
Coursework (which may include a Project): 40%
Examination: 60%.
Please see Visiting Student Prospectus website for Visiting Student Assessment information
Special Arrangements
Not entered
Contacts
Course organiser Dr Toby Bailey
Tel: (0131 6)50 5068
Email: t.n.bailey@ed.ac.uk
Course secretary Miss Louise Durie
Tel: (0131 6)50 5059
Email: L.Durie@ed.ac.uk
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copyright 2010 The University of Edinburgh - 1 September 2010 6:17 am