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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: Mathematics for Informatics 3a (MATH08042)

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 Informatics
Course website http://student.maths.ed.ac.uk
Course description Real vector spaces, polynomials, linear codes.
Entry Requirements
Pre-requisites Students MUST have passed: Mathematics for Informatics 2a (MINF08002) OR ( Applicable Mathematics 1 (MATH08027) AND Applicable Mathematics 2 (MATH08031))
Co-requisites
Prohibited Combinations Students MUST NOT also be taking Linear Algebra (MATH08007) OR Applicable Mathematics 3 (Inf) (MATH08026)
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:  None
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. Appleton Tower, Lecture Theatre 5
Additional information Tutorials: Tu at 1110 or 1210
Summary of Intended Learning Outcomes
1. Discuss the axioms of real vector spaces together with their properties and motivation.
2. Discuss and apply the methods of real vector spaces (e.g., linear maps, kernels, dimension).
3. Solve systems of linear equations and relate their properties to vector spaces.
4. Describe basic properties of univariate polynomials and apply the Euclidean algorithm for this setting.
5. Discuss and apply linear codes to simple situations, such as error detection.


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 Ivan Cheltsov
Tel: (0131 6)50 5060
Email: I.Cheltsov@ed.ac.uk		 Course secretary Ms Marieke Blair
Tel: (0131 6)50 5048
Email: M.Blair@ed.ac.uk
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copyright 2010 The University of Edinburgh - 1 September 2010 6:17 am