MATH203-21S1 (C) Semester One 2021

Linear Algebra

15 points

Details:
Start Date: Monday, 22 February 2021
End Date: Sunday, 27 June 2021
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 7 March 2021
  • Without academic penalty (including no fee refund): Friday, 14 May 2021

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.

Pre-requisites

Restrictions

MATH252, MATH254, EMTH203, EMTH204, EMTH211, DATA203

Timetable 2021

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Monday 09:00 - 10:00 Meremere 108 Lecture Theatre 22 Feb - 4 Apr
26 Apr - 6 Jun
Lecture B
Activity Day Time Location Weeks
01 Tuesday 12:00 - 13:00 E9 Lecture Theatre 22 Feb - 4 Apr
26 Apr - 6 Jun
Lecture C
Activity Day Time Location Weeks
01 Thursday 09:00 - 10:00 Rehua 005 22 Feb - 4 Apr
26 Apr - 6 Jun
Tutorial A
Activity Day Time Location Weeks
01 Wednesday 11:00 - 12:00 Jack Erskine 442 Computer Lab 22 Feb - 4 Apr
26 Apr - 6 Jun
02 Wednesday 15:00 - 16:00 Jack Erskine 442 Computer Lab 22 Feb - 4 Apr
26 Apr - 6 Jun
03 Wednesday 12:00 - 13:00 Jack Erskine 442 Computer Lab 22 Feb - 4 Apr
26 Apr - 6 Jun
04 Monday 10:00 - 11:00 Jack Erskine 442 Computer Lab 22 Feb - 4 Apr
26 Apr - 6 Jun
05 Tuesday 11:00 - 12:00 Jack Erskine 442 Computer Lab 22 Feb - 4 Apr
26 Apr - 6 Jun
06 Tuesday 10:00 - 11:00 Jack Erskine 442 Computer Lab 22 Feb - 4 Apr
26 Apr - 6 Jun

Course Coordinator / Lecturer

Rachael Tappenden

Lecturer

Brendan Creutz

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 $788.00

International fee $4,438.00

* 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

  • MATH203-21S1 (C) Semester One 2021