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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.
| Paper title | Modelling and Computation |
|---|---|
| Paper code | COMO101 |
| Subject | Computational Modelling |
| EFTS | 0.15 |
| Points | 18 points |
| Teaching period | Semester 2 (On campus) |
| Domestic Tuition Fees (NZD) | $1,092.15 |
| International Tuition Fees (NZD) | $5,004.75 |
- Restriction
- COMO 103
- Schedule C
- Science
- Contact
- david.bryant@otago.ac.nz
- More information link
- View more information on the Department of Mathematics and Statistics' website
- Teaching staff
- Professor David Bryant
- 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.
- Course outline
- View the course outline for COMO 101
- 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
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.
| Paper title | Modelling and Computation |
|---|---|
| Paper code | COMO101 |
| Subject | Computational Modelling |
| EFTS | 0.15 |
| Points | 18 points |
| Teaching period | Semester 2 (On campus) |
| Domestic Tuition Fees | Tuition Fees for 2022 have not yet been set |
| International Tuition Fees | Tuition Fees for international students are elsewhere on this website. |
- Restriction
- COMO 103
- Schedule C
- Science
- Contact
- david.bryant@otago.ac.nz
- More information link
- View more information on the Department of Mathematics and Statistics' website
- Teaching staff
- Professor David Bryant
- 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.
- Course outline
- View the course outline for COMO 101
- 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
