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SC1109 - Modelling Natural Systems-Advanced
Credit points: |
3 |
Year: |
2023 |
Student Contribution Band: |
Band
2 |
Administered by: |
College of Science and Engineering |
By providing the bridge between theory and practice this subject will demonstrate
how mathematical and computer models can be used to describe and enhance our knowledge
about natural systems. This subject will use a series of motivating and in-depth case
studies that span a range of biophysical contexts with emphasis on applications relevant
to tropical systems. Statistical programming (R) and single-variable calculus will
be employed in the formulation and analysis of models, and their application to empirical
data. This is a core subject for all students in the Bachelor of Science-Advanced
and is recommended for all students in the Bachelor of Science who intend to transfer
to the Advanced program after first year. Students majoring in Mathematics and Physics
in the BSc are also encouraged to enrol.
Learning Outcomes
- demonstrate the advantages of being quantitatively skilled in a scientific environment;
- define key scientific concepts relevant to the case study;
- translate between verbal, algebraic, numerical, graphical and conceptual characterisations
of a system;
- integrate methods and theories that span the disciplines of mathematics, science and
computing to deliver a richer understanding of natural systems;
- assess how a natural system may respond under different circumstances through effective
construction and application of relevant scientific modelling approaches;
- formulate recommendations that promote the sustainability of natural systems.
Subject Assessment
- Written > Examination - In class - (45%) - Individual
- Written > Problem task - (55%) - Individual.
Prerequisites: |
MA1000 or MA1009. |
Availabilities
|
Cairns,
Study Period 2,
Internal
|
Census Date 24-Aug-2023 |
Coordinator: |
Professor Will Edwards |
Lecturers:
|
Professor Will Edwards, Professor Yvette Everingham, Assoc. Professor Scott Heron. |
Workload expectations: |
The student workload for this
3
credit point subject is approximately
130 hours.
- 26 hours lectures
- 26 hours tutorials
- 3 hours was Other
- assessment and self-directed study
|
|
|
Townsville,
Study Period 2,
Internal
|
Census Date 24-Aug-2023 |
Coordinator: |
Assoc. Professor Scott Heron |
Lecturers:
|
Professor Will Edwards, Professor Yvette Everingham, Assoc. Professor Scott Heron. |
Workload expectations: |
The student workload for this
3
credit point subject is approximately
130 hours.
- 26 hours lectures
- 26 hours tutorials
- 3 hours was Other - Class tests to be held in normal lecture room.
- assessment and self-directed study
|
|
|
Note:
Minor variations might occur due to the continuous Subject quality improvement process,
and in case
of minor variation(s) in assessment details, the Subject Outline represents the latest
official information.