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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2010/2011
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DRPS : Course Catalogue : School of Mathematics : Mathematics

Undergraduate Course: Applicable Mathematics 3 (Inf) (MATH08026)

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 Informatics
Course website	http://student.maths.ed.ac.uk	Taught in Gaelic?	No
Course description	Real vector spaces, polynomials, linear codes.

Entry Requirements
Pre-requisites	Students MUST have passed: ( Mathematics for Informatics 1a (MATH08046) AND Mathematics for Informatics 1b (MINF08001) AND Mathematics for Informatics 2a (MINF08002) AND Mathematics for Informatics 2b (MATH08047)) OR ( Applicable Mathematics 1 (MATH08027) AND Mathematical Methods 1 (MATH08029) AND Applicable Mathematics 2 (MATH08031) AND Mathematical Methods 2 (MATH08032))	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 (Phys Sci) (MATH08015) OR Linear Algebra (MATH08007)	Other requirements	None
Additional Costs	None

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: No		Quota: 0
Location	Activity	Description	Weeks	Monday	Tuesday	Wednesday	Thursday	Friday
Central	Lecture		1-11			12:10 - 13:00
Central	Lecture		1-11					12:10 - 13:00
First Class	First class information not currently available
Additional information	Tutorials: Tu 1305-1355
No Exam Information

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.

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	Not entered

Contacts
Course organiser	Dr Ivan Cheltsov Tel: (0131 6)50 5060 Email: I.Cheltsov@ed.ac.uk	Course secretary	Mrs Gillian Law Tel: (0131 6)50 5085 Email: G.Law@ed.ac.uk

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copyright 2011 The University of Edinburgh - 13 January 2011 6:19 am