# DEGREE REGULATIONS & PROGRAMMES OF STUDY 2017/2018

 University Homepage DRPS Homepage DRPS Search DRPS Contact
DRPS : Course Catalogue : School of Mathematics : Mathematics

# Undergraduate Course: Introduction to Linear Algebra (MATH08057)

 School School of Mathematics College College of Science and Engineering Credit level (Normal year taken) SCQF Level 8 (Year 1 Undergraduate) Availability Available to all students SCQF Credits 20 ECTS Credits 10 Summary An introduction to linear algebra, mainly in R^n but concluding with an introduction to abstract vector spaces. The principal topics are vectors, systems of linear equations, matrices, eigenvalues and eigenvectors and orthogonality. The important notions of linear independence, span and bases are introduced. This course is both a preparation for the practical use of vectors, matrices and systems of equations and also lays the groundwork for a more abstract, pure-mathematical treatment of vector spaces. Students will learn how to use a computer to calculate the results of some simple matrix operations and to visualise vectors. Course description This syllabus is for guidance purposes only : The course contents are given in the course textbook, Poole, Chapters 1 to Chapter 6.2, with a selection (not all) of the applications covered and selected topics omitted. The course will have three lecture-theatre-hours and a 90 minute Example Class per week. The figures in parentheses refer to approximate numbers of lecture-theatre hours on each topic. - Vectors in R^n, and in general. Vectors and geometry (5) - Systems of linear equations, echelon form, Gaussian elimination, intro to span and linear independence. (6) - Matrices, multiplication, transpose, inverses, linear maps. Intro to subspaces and bases. Rank. (8) - Eigenvalues and eigenvectors. Determinants (6) - Orthogonality, Gram-Schmidt, orthogonal diagonalisation. (6) - Introduction to abstract vector spaces and subspaces. (4) - Selected applications (taught in sequence where appropriate) (5)
 Pre-requisites Co-requisites Prohibited Combinations Students MUST NOT also be taking Engineering Mathematics 1a (MATH08074) OR Mathematics for the Natural Sciences 1a (MATH08072) Other requirements Higher Mathematics or A-level at Grade A, or equivalent
 Pre-requisites None High Demand Course? Yes
 Academic year 2017/18, Available to all students (SV1) Quota:  None Course Start Semester 1 Timetable Timetable Learning and Teaching activities (Further Info) Total Hours: 200 ( Lecture Hours 33, Seminar/Tutorial Hours 17, Supervised Practical/Workshop/Studio Hours 5, Online Activities 15, Summative Assessment Hours 3, Revision Session Hours 4, Programme Level Learning and Teaching Hours 4, Directed Learning and Independent Learning Hours 119 ) Additional Information (Learning and Teaching) Students must pass exam and course overall. Assessment (Further Info) Written Exam 80 %, Coursework 20 %, Practical Exam 0 % Additional Information (Assessment) Coursework 20%, Examination 80% Feedback Not entered Exam Information Exam Diet Paper Name Hours & Minutes Main Exam Diet S1 (December) (MATH08057) Introduction to Linear Algebra 3:00 Resit Exam Diet (August) (MATH08057) Introduction to Linear Algebra 3:00
 On completion of this course, the student will be able to: solve systems of linear equations and demonstrate an understanding of the nature of the solutions.perform accurate and efficient calculations with vectors, matrices, eigenvalues and eigenvectors in arbitrary dimensions.demonstrate a geometrical understanding of vectors and vector operations in 2 and 3 dimensions.demonstrate an understanding of orthogonality and projection in arbitrary dimensions.argue in a formal style (definition/theorem/proof or use examples) about statements in linear algebra, as the first step towards a more abstract, pure-mathematical treatment of vector spaces.
 Students will require a copy of the course textbook. This is currently "Linear Algebra, A Modern Introduction" by David Poole. Students are advised not to commit to a purchase until this is confirmed by the Course Team and advice on Editions, etc is given.
 Graduate Attributes and Skills Not entered Keywords ILA
 Course organiser Prof Christopher Sangwin Tel: Email: C.J.Sangwin@ed.ac.uk Course secretary Ms Louise Durie Tel: (0131 6)50 5050 Email: L.Durie@ed.ac.uk
 Navigation Help & Information Home Introduction Glossary Search DPTs and Courses Regulations Regulations Degree Programmes Introduction Browse DPTs Courses Introduction Humanities and Social Science Science and Engineering Medicine and Veterinary Medicine Other Information Combined Course Timetable Prospectuses Important Information