MATH203-20S1 (C) Semester One 2020

# Linear Algebra

15 points

Details:
 Start Date: Monday, 17 February 2020 End Date: Sunday, 21 June 2020
Withdrawal Dates
Last Day to withdraw from this course:
• Without financial penalty (full fee refund): Friday, 28 February 2020
• Without academic penalty (including no fee refund): Friday, 29 May 2020

## Description

Linear algebra is a key part of the mathematician's toolkit and has applications to many areas in science, commerce and engineering. This course develops the fundamental concepts of linear algebra, including vector spaces, linear transformations, eigenvalues, and orthogonality. Emphasis is placed on understanding both abstract mathematical structures and their concrete applications.

Course Information:
Linear algebra is a key part of the mathematician's toolkit and has applications to many areas in science, commerce and engineering. This course develops the fundamental concepts of linear algebra, including vector spaces, linear transformations, eigenvalues, and orthogonality. Emphasis is placed on understanding both abstract mathematical structures and their concrete applications.

Topics Covered:
Vector spaces; Linear independence, bases and coordinate systems; Linear transformations, matrices, rank, nullity, and relationships between the fundamental matrix spaces; Eigenvalues, eigenvectors, diagonalisation and canonical forms of a matrix; Inner products and orthogonality; Gram-Schmidt process, QR-decomposition and orthogonal projections; Orthogonal diagonalization and the spectral theorem; Vector and matrix norms and condition numbers; LU-decompositions.

Applications:
Markov chains, population and economic models, coupled systems of linear ordinary differential equations, linear recurrence relations, Fourier series, least squares approximation, cryptography, coding theory, data compression.

## Learning Outcomes

• At the end of the course, students will:

• be proficient in the standard techniques of linear algebra;
• understand why these techniques work;
• be able to use these techniques in a variety of applications, including using MATLAB to solve standard problems;
• have developed problem solving skills both as part of a team and as an individual;
• have developed written and oral communications skills, emphasizing the ability to explain what the mathematics means.

## Restrictions

MATH252, MATH254, EMTH203, EMTH204, EMTH211, DATA203

## Timetable 2020

Students must attend one activity from each section.

Activity Day Time Location Lecture A 01 Tuesday 12:00 - 13:00 17 Feb - 29 Mar 20 Apr - 31 May Lecture B 01 Thursday 11:00 - 12:00 17 Feb - 22 Mar 20 Apr - 31 May Lecture C 01 Friday 13:00 - 14:00 17 Feb - 22 Mar 20 Apr - 31 May Tutorial A 01 Monday 16:00 - 17:00 17 Feb - 29 Mar 20 Apr - 26 Apr 4 May - 31 May 02 Monday 09:00 - 10:00 17 Feb - 29 Mar 20 Apr - 26 Apr 4 May - 31 May 03 Monday 17:00 - 18:00 17 Feb - 29 Mar 20 Apr - 26 Apr 4 May - 31 May 04 Wednesday 14:00 - 15:00 17 Feb - 29 Mar 20 Apr - 31 May 05 Monday 14:00 - 15:00 17 Feb - 29 Mar 20 Apr - 26 Apr 4 May - 31 May 06 Monday 13:00 - 14:00 17 Feb - 29 Mar 20 Apr - 26 Apr 4 May - 31 May 07 Tuesday 15:00 - 16:00 17 Feb - 29 Mar 20 Apr - 31 May 08 Tuesday 13:00 - 14:00 17 Feb - 29 Mar 20 Apr - 31 May

## Examination and Formal Tests

Activity Day Time Location Weeks Test A 01 Wednesday 18:30 - 20:00 K1 Lecture Theatre 16 Mar - 22 Mar

## Assessment

To obtain a clear pass in this course, you must both pass the course as a whole (≥ 50%) and also obtain at least 40% in the final examination.

## Indicative Fees

Domestic fee \$780.00

International fee \$4,250.00

* Fees include New Zealand GST and do not include any programme level discount or additional course related expenses.

For further information see Mathematics and Statistics.

## All MATH203 Occurrences

• MATH203-20S1 (C) Semester One 2020