EMTH211-20S2 (C) Semester Two 2020

Engineering Linear Algebra and Statistics

15 points

Details:
Start Date: Monday, 13 July 2020
End Date: Sunday, 8 November 2020
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Friday, 24 July 2020
  • Without academic penalty (including no fee refund): Friday, 25 September 2020

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 MATLAB to solve problems in engineering
  • to be able to use these methods and MATLAB to discover structures and patterns in engineering data
  • to develop written and oral communication skills, emphasizing the ability to explain what the mathematics means

Pre-requisites

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

Restrictions

EMTH203, EMTH204, MATH203, MATH254, MATH252, MATH251

Recommended Preparation

Course Coordinator / Lecturer

Geertrui Van de Voorde

Course Administrator

James Bartlett

Lecturers

Mark Hickman and Fabian Dunker

Assessment

Examination 50%
Test (Week 6) 20%
Large assignment (due week 9) 20%
Small assignment (due week 12) 5%
Computer lab preparation (best 10 of 12 labs) 5%

In order to pass the course, a minimum performance of 40% is required in the final examination. The
School reserves the right to adjust marks, and consequent grades, up or down in order to achieve
consistency of assessment standards.

Textbooks / Resources

Recommended Reading

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

Indicative Fees

Domestic fee $975.00

International fee $5,500.00

* 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

  • EMTH211-20S2 (C) Semester Two 2020