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SC1102 - Modelling Natural Systems
Credit points: |
3 |
Year: |
2022 |
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 quantitative and computing methods can be used to describe and enhance our knowledge
about natural systems. This subject will be presented by a series of motivating and
in depth case studies that span a range of biophysical settings with an emphasis on
applications relevant to tropical systems. Computing technologies (Microsoft Excel,
R-studio and calculator) will assist with numerical calculations and graphical presentations.
Learning Outcomes
- translate between verbal, algebraic, numerical, visual and conceptual characterizations
of a system to enhance knowledge about natural systems;
- reinforce the importance of biological and environmental scientists being quantitatively
capable, and, mathematical scientists understanding biological and environmental phenomena;
- undertake basic computing tasks with increased confidence and demonstrate basic computing
know-how.
Subject Assessment
- Written > Examination (centrally administered) - (60%) - Individual
- Participation > Online participation - (15%) - Individual
- Problem task: 20% Class Test: 5% - (25%) - Individual.
Prerequisites: |
MA1020 or MA0020 or Senior Mathematics or equivalent. |
Availabilities
|
Cairns,
Study Period 2,
Internal
|
Census Date 25-Aug-2022 |
Coordinator: |
Professor Will Edwards |
Lecturers:
|
Professor Will Edwards, Assoc. Professor Lucas Cernusak, 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 (didactic or interactive)
- 26 hours tutorials
- 3 hours
- assessment and self-directed study
|
|
|
JCU Singapore,
Study Period 51,
Internal
|
Census Date 07-Apr-2022 |
Coordinator: |
Assoc. Professor Scott Heron |
Lecturer:
|
Mr Mogan Swamy. |
Workload expectations: |
The student workload for this
3
credit point subject is approximately
130 hours.
- 26 hours lectures (didactic or interactive)
- 26 hours tutorials
- 3 hours - Class tests to be held in normal lecture room.
- assessment and self-directed study
|
|
|
JCU Singapore,
Study Period 52,
Internal
|
Census Date 04-Aug-2022 |
Coordinator: |
Assoc. Professor Lucas Cernusak |
Lecturer:
|
Mr Mogan Swamy. |
Workload expectations: |
The student workload for this
3
credit point subject is approximately
130 hours.
- 26 hours lectures (didactic or interactive)
- 26 hours tutorials
- 3 hours - Class tests to be held in normal lecture room.
- assessment and self-directed study
|
|
|
JCU Singapore,
Study Period 53,
Internal
|
Census Date 01-Dec-2022 |
Workload expectations: |
The student workload for this
3
credit point subject is approximately
130 hours.
- 26 hours lectures (didactic or interactive)
- 26 hours tutorials
- 3 hours - Class tests to be held in normal lecture room.
- assessment and self-directed study
|
|
|
Townsville,
Study Period 2,
Internal
|
Census Date 25-Aug-2022 |
Coordinator: |
Assoc. Professor Scott Heron |
Lecturers:
|
Professor Will Edwards, Assoc. Professor Lucas Cernusak, 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 (didactic or interactive)
- 26 hours tutorials
- 3 hours - 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.