MATH203-22S1 (C) Semester One 2022

# Linear Algebra

15 points

Details:
 Start Date: Monday, 21 February 2022 End Date: Sunday, 26 June 2022
Withdrawal Dates
Last Day to withdraw from this course:
• Without financial penalty (full fee refund): Sunday, 6 March 2022
• Without academic penalty (including no fee refund): Sunday, 15 May 2022

## 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 2022

Students must attend one activity from each section.

Activity Day Time Location Weeks Lecture A 01 Tuesday 11:00 - 12:00 Rehua 005 21 Feb - 10 Apr 2 May - 5 Jun Lecture B 01 Wednesday 10:00 - 11:00 Rehua 005 21 Feb - 10 Apr 2 May - 5 Jun Lecture C 01 Monday 13:00 - 14:00 Rehua 005 21 Feb - 10 Apr 2 May - 5 Jun Drop in Class A 01 Thursday 15:00 - 17:00 Jack Erskine 442 Computer Lab 21 Feb - 10 Apr 2 May - 5 Jun Optional A (Optional) 01 Wednesday 15:00 - 16:00 Zoom 21 Feb - 10 Apr 2 May - 5 Jun

## Examination and Formal Tests

Activity Day Time Location Weeks Test A 01 Thursday 18:00 - 19:30 Online Delivery 21 Mar - 27 Mar Test B 01 Thursday 18:00 - 19:30 Online Delivery 9 May - 15 May

## 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 \$802.00

International fee \$4,563.00

* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.

For further information see Mathematics and Statistics .

## All MATH203 Occurrences

• MATH203-22S1 (C) Semester One 2022
• MATH203-22S1 (D) Semester One 2022 (Distance)