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Overview

An introduction to mathematical and computational modelling with applications in science, engineering, biomedicine and industry. Topics include the translation of observations into mathematical models, and the use of simulation and numerical methods to evaluate and apply the models.

An introduction to mathematical and computational modelling with applications in science, engineering, biomedicine and industry. Topics include the translation of observations into mathematical models, and the use of simulation and numerical methods to evaluate and apply the models.

About this paper

Paper title Modelling and Computation
Subject Computational Modelling
EFTS 0.15
Points 18 points
Teaching period Semester 2 (On campus)
Domestic Tuition Fees ( NZD ) $1,243.65
International Tuition Fees Tuition Fees for international students are elsewhere on this website.
Restriction
COMO 103
Schedule C
Science
Contact

For more information, contact MATH and COMO100 Level Advisor, Associate Professor Robert Van Gorder at robert.vangorder@otago.ac.nz

Teaching staff

Professor David Bryant

Associate Professor Colin Fox

Paper Structure
Main topics:
  • Introduction to estimation and mathematical modelling
  • Difference equations and dynamical models
  • Data fitting and numerical methods
  • Randomness and stochastic models
  • Uncertainty quantification
Teaching Arrangements

Three lectures per week and a one-hour computer lab per week.

Textbooks

Textbooks are not required for this paper.

Graduate Attributes Emphasised
Interdisciplinary perspective, Lifelong learning, Scholarship, Communication, Critical thinking, Environmental literacy.
View more information about Otago's graduate attributes.
Learning Outcomes

Students who successfully complete this paper will develop skills in:

  • Mathematical and computational modelling
  • Interdisciplinary thinking
  • Communication and writing

Timetable

Semester 2

Location
Dunedin
Teaching method
This paper is taught On Campus
Learning management system
Other

Lecture

Stream Days Times Weeks
Attend
A1 Monday 16:00-16:50 29-35, 37-42
Tuesday 14:00-14:50 29-35, 37-42
Wednesday 10:00-10:50 29-35, 37-42

Tutorial

Stream Days Times Weeks
Attend one stream from
A1 Wednesday 12:00-12:50 29-35, 37-42
A2 Thursday 09:00-09:50 29-35, 37-42
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