MATH270-24S2 (C) Semester Two 2024

Mathematical Modelling and Computation 2

15 points

Details:
Start Date: Monday, 15 July 2024
End Date: Sunday, 10 November 2024
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 28 July 2024
  • Without academic penalty (including no fee refund): Sunday, 29 September 2024

Description

Use of the Python language for numerical methods, including solutions of systems of linear equations, solution of ordinary differential equations and systems of differential equations, boundary value problems, approximation techniques, area integration, statistics, random number generation, and Monte Carlo integration. Modelling projects and applications.

This course will teach students how to use Python to implement a wide range of numerical methods, including solutions to systems of linear equations, solutions of ordinary differential equations and system of differential equations, boundary value problems, approximation techniques, numerical integration, statistics, random number generation, Monte Carlo integration, and more. We will look at the theory and application of these numerical methods.

By the end of the course you should be familiar with basic numerical methods, have a reasonable understanding of the mathematics behind these methods, and be able to implement these methods using Python. You should also be able to solve (engineering) problems using these methods and be able to interpret your results in the context of the original problems.

Prerequisites

Both COSC121 and MATH103; or one of EMTH171, MATH170, or
MATH171; or approval of the Dean of Engineering and Forestry. COSC121 can be replaced by COSC131, and MATH103 can be replaced by EMTH119 or MATH199.

Restrictions

EMTH271, MATH271

Timetable 2024

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Friday 13:00 - 14:00 C3 Lecture Theatre
15 Jul - 25 Aug
9 Sep - 20 Oct
Lecture B
Activity Day Time Location Weeks
01 Wednesday 13:00 - 14:00 C3 Lecture Theatre
15 Jul - 25 Aug
9 Sep - 20 Oct
Lecture C
Activity Day Time Location Weeks
01 Thursday 16:00 - 17:00 E5 Lecture Theatre
15 Jul - 25 Aug
9 Sep - 20 Oct
Computer Lab A
Activity Day Time Location Weeks
01 Monday 10:00 - 12:00 Rata 216 CAD Lab
15 Jul - 25 Aug
9 Sep - 20 Oct
02 Tuesday 08:00 - 10:00 Rata 216 CAD Lab
15 Jul - 25 Aug
9 Sep - 20 Oct
03 Tuesday 10:00 - 12:00 Rata 216 CAD Lab
15 Jul - 25 Aug
9 Sep - 20 Oct
04 Tuesday 16:00 - 18:00 Rata 216 CAD Lab
15 Jul - 25 Aug
9 Sep - 20 Oct
05 Monday 12:00 - 14:00 Rata 216 CAD Lab
15 Jul - 25 Aug
9 Sep - 20 Oct
06 Monday 16:00 - 18:00 Rata 216 CAD Lab
15 Jul - 25 Aug
9 Sep - 20 Oct
Drop in Class A
Activity Day Time Location Weeks
01 Tuesday 19:00 - 21:00 C3 Lecture Theatre
29 Jul - 4 Aug

Examinations, Quizzes and Formal Tests

Test A
Activity Day Time Location Weeks
01 Tuesday 19:00 - 20:30 Jack Erskine 038 Lab 4 (24/9)
Jack Erskine 035 Lab 2 (24/9)
Jack Erskine 033 Lab 1 (24/9)
23 Sep - 29 Sep
02 Wednesday 19:00 - 20:30 Jack Erskine 038 Lab 4 (25/9)
Jack Erskine 035 Lab 2 (25/9)
Jack Erskine 033 Lab 1 (25/9)
23 Sep - 29 Sep
03 Thursday 19:00 - 20:30 Jack Erskine 038 Lab 4 (26/9)
Jack Erskine 035 Lab 2 (26/9)
Jack Erskine 033 Lab 1 (26/9)
23 Sep - 29 Sep

Course Coordinator

James Williams

Lecturer

Michael Langton

Indicative Fees

Domestic fee $847.00

International fee $4,988.00

* 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 MATH270 Occurrences

  • MATH270-24S2 (C) Semester Two 2024