THE UNIVERSITY of EDINBURGH

DEGREE REGULATIONS & PROGRAMMES OF STUDY 2014/2015
- ARCHIVE as at 1 September 2014

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DRPS : Course Catalogue : School of Mathematics : Mathematics

Undergraduate Course: Commutative Algebra (MATH10017)

Course Outline
SchoolSchool of Mathematics CollegeCollege of Science and Engineering
Course typeStandard AvailabilityAvailable to all students
Credit level (Normal year taken)SCQF Level 10 (Year 4 Undergraduate) Credits10
Home subject areaMathematics Other subject areaSpecialist Mathematics & Statistics (Honours)
Course website http://student.maths.ed.ac.uk Taught in Gaelic?No
Course descriptionThis course will be an introduction to commutative algebra, mainly focusing on methods to work with polynomial rings. The students will learn practical methods for solving systems of polynomial equations, as well as important theoretical results, for example, Hilbert's basis theorem. An important branch of algebra in its own right, commutative algebra is an essential tool to explore several other areas of mathematics, such as algebraic geometry, number theory, Lie theory, and non-commutative algebra.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Students MUST have passed: Honours Algebra (MATH10069)
Co-requisites
Prohibited Combinations Other requirements None
Additional Costs None
Information for Visiting Students
Pre-requisitesNone
Displayed in Visiting Students Prospectus?Yes
Course Delivery Information
Not being delivered
Summary of Intended Learning Outcomes
1. Gain familiarity with the polynomial ring and be able to perform basic operations with both elements and ideals.
2. Master some computational tools to work with the polynomial ring, especially Gröbner bases.
3. Be able to apply the Buchberger algorithm to compute a Gröbner basis.
4. Use these computational tools to solve problems in polynomial rings, for example the ideal membership problem, or finding solutions to polynomial equations.
5. Be able to produce examples illustrating the mathematical concepts learnt in the class.
6. Understand the proofs of important theorems and be able to explain key steps in the proof.
Assessment Information
Coursework 20%, Examination 80%
Special Arrangements
None
Additional Information
Academic description Not entered
Syllabus Affine varieties
Polynomial rings
Euclidean algorithm
Gröbner bases
Hilbert Basis theorem
Buchberger algorithm
Applications to solving systems of polynomial equations
Elimination theory
Additional topics
Transferable skills Not entered
Reading list Cox, Little, O¿Shea: Ideals, Varieties and Algorithms. An introduction to computational Algebraic Geometry and Commutative Algebra

Reid: Undergraduate Commutative algebra
Study Abroad Not entered
Study Pattern Not entered
KeywordsCoA
Contacts
Course organiserDr Martin Dindos
Tel:
Email: M.Dindos@ed.ac.uk
Course secretaryMrs Alison Fairgrieve
Tel: (0131 6)50 5045
Email: Alison.Fairgrieve@ed.ac.uk
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