Course level

Postgraduate Coursework

Faculty

Science

School

Mathematics & Physics School

Units

2

Duration

One Semester

Attendance mode

In Person

Class hours

Lecture 2 Hours/ Week
Practical 2 Hours/ Week
2L:2P

Incompatible

MATH2070, MATH3070 (co-taught).

Prerequisite

Knowledege equivalent to STAT7120 and MATH7052

Assessment methods

Assignments, project

Course enquiries

Current course offerings

Course offerings Location Mode Course Profile
Semester 2, 2024 (22/07/2024 - 18/11/2024) St Lucia In Person Profile unavailable
Semester 2, 2025 (28/07/2025 - 22/11/2025) St Lucia In Person Profile unavailable

Please Note: Course profiles marked as not available may still be in development.

Course description

The biggest challenge facing our planet is how to maintain and manage our natural systems such as fisheries, forestry and biodiversity in the face of habitat destruction, climate change, pollution and over harvesting. In this course you will learn how to apply deterministic differential and difference equation models to real world examples, and how to solve them using numerical methods. You will also learn how to quantify system uncertainties with the help of statistical and probabilistic methods. Students will be taught a range of methods that are employed in industry, research, consultancies and government to model complex natural resource problems. In the process, students will learn how certain fundamental mathematical concepts such as critical points, orthogonality, eigenvalues and singularity recur in different mathematical frameworks with different but, invariably, vitally important physical interpretations.

Archived offerings

Course offerings Location Mode Course Profile
Semester 2, 2023 (24/07/2023 - 18/11/2023) St Lucia In Person Profile unavailable
Semester 2, 2023 (24/07/2023 - 18/11/2023) External External Profile unavailable
Semester 2, 2022 (25/07/2022 - 19/11/2022) St Lucia Internal Profile unavailable
Semester 2, 2022 (25/07/2022 - 19/11/2022) St Lucia External Profile unavailable