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SC1102 - Modelling Natural Systems

Credit points: 03
Year: 2018
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.
Prerequisites: MA1020 or Senior Mathematics or equivalent and allow concurrent enrolment for MA1020

Availabilities
Townsville, Internal, Study Period 2
Census Date 23-Aug-2018
Coordinator: Assoc. Professor Yvette Everingham
Lecturers: Professor Sean Connolly, Mr Justin Sexton, Assoc. Professor Yvette Everingham, <Person not found>, Dr Scott Heron.
Contact hours:
  • 26 hours lectures
  • 26 hours tutorials
  • 3 hours - Class tests to be held in normal lecture room.
    Assessment: end of semester exam (60%); quizzes or tests (20%); assignments (20%).

    Cairns, Internal, Study Period 2
    Census Date 23-Aug-2018
    Coordinator: Assoc. Professor Lucas Cernusak
    Lecturers: Assoc. Professor Lucas Cernusak, <Person not found>.
    Contact hours:
    • 26 hours lectures
    • 26 hours tutorials
    • 3 hours
      Assessment: end of semester exam (60%); quizzes or tests (20%); assignments (20%).

      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.