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SC1102 - Modelling Natural Systems

Credit points: 3
Year: 2020
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

  • end of semester exam (60%)
  • quizzes or tests (20%)
  • assignments (20%).
Prerequisites: MA1020 or Senior Mathematics or equivalent.

Availabilities

Townsville, Internal, Study Period 2
Census Date 27-Aug-2020
Coordinator: Dr Scott Heron
Lecturers: Professor Sean Connolly, Mr Justin Sexton, Dr Carla Ewels, Dr 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 - Class tests to be held in normal lecture room.
  • assessment and self-directed study

Townsville, Internal (Pathway), Study Period 48
Census Date 26-Nov-2020
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 48 hours workshops/Seminars
  • assessment and self-directed study

Cairns, Internal, Study Period 2
Census Date 27-Aug-2020
Coord/Lect: Assoc. Professor Lucas Cernusak.
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 26 hours lectures
  • 26 hours tutorials
  • 3 hours
  • 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.