EMTH211-22S2 (C) Semester Two 2022

# Engineering Linear Algebra and Statistics

15 points

Details:
 Start Date: Monday, 18 July 2022 End Date: Sunday, 13 November 2022
Withdrawal Dates
Last Day to withdraw from this course:
• Without financial penalty (full fee refund): Sunday, 31 July 2022
• Without academic penalty (including no fee refund): Sunday, 2 October 2022

## Description

A linear/matrix algebra course using MATLAB, with engineering applications and a component of statistics for engineers.

This is a second semester course for students doing electrical, mechatronics or computer engineering.

Themes include:
• using geometry to understand the behaviour of vectors, matrices and random variables
• the language of linear algebra (new words to describe the relationships between vectors and spaces)
• matrix factorizations (understanding matrices in terms of simpler matrices)

Topics include:
• more about systems of linear equations (LU factorizations, error estimates, iterative methods)
• applications of eigenvalues and eigenvectors (including Markov chains, population modelling and recurrence relations)
• projections onto subspaces, and QR-factorizations, with applications to finding least squares solutions
• linear regression and measuring goodness-of-fit

## Learning Outcomes

• Course Aims:
• to be proficient in the basic methods of linear and matrix algebra
• to be able to use these methods and Python to solve problems in engineering
• to be able to use these methods and Python to discover structures and patterns in engineering data
• to develop written and oral communication skills, emphasizing the ability to explain what the mathematics means

## Prerequisites

Subject to approval of the Dean of Engineering and Forestry. RP: EMTH210

## Restrictions

EMTH203, EMTH204, MATH203, MATH254, MATH252, MATH251

## Assessment

To pass this course you must obtain a final mark of at least 50% and obtain at least 40% in the final examination.

## Textbooks / Resources

Poole, David,1955-; Linear algebra :a modern introduction ; Fourth edition; Cengage Learning, 2015 (2nd, 3rd, or 4th edition suitable).

## Indicative Fees

Domestic fee \$1,002.00

International fee \$5,625.00

* 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 EMTH211 Occurrences

• EMTH211-22S2 (C) Semester Two 2022