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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2010/2011
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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 8 (Year 2 Undergraduate) Credits 10
Home subject area Mathematics Other subject area Mathematics for Informatics
Course website https://info.maths.ed.ac.uk/teaching.html Taught in Gaelic? No
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
Displayed in Visiting Students Prospectus? Yes
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. David Hume Tower, Lecture Theatre A
Additional information Tutorials: Tu at 1110 or 1210
Exam Information
Exam Diet Paper Name Hours:Minutes Stationery Requirements Comments
Main Exam Diet S1 (December)Mathematics for Informatics 3a1:30Nil. No YAF
Resit Exam Diet (August)1:30nil. No YAF.
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%
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 mi3a
Contacts
Course organiser Dr Elizabeth Gasparim
Tel: (0131 6)50 8572
Email: Elizabeth.Gasparim@ed.ac.uk
Course secretary Mrs Joy Clark
Tel: (0131 6)50 5059
Email: joy.clark@ed.ac.uk
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copyright 2011 The University of Edinburgh - 31 January 2011 7:58 am