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SC1102 - Modelling Natural Systems

Credit points: 3
Year: 2012
Student Contribution Band: Band 4
Administered by: School of Engineering

By providing the bridge between theory and practice this subject will demonstrate how quantitative methods can be used to solve real world problems and enable scientists with a deeper understanding of system processes. 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 will assist with numerical calculations and practical presentations.

Learning Outcomes

  • through effective application of quantitative techniques, empower students with ability to enhance their knowledge of real world systems and solve real world practical problems;
  • equip students with the capability of translating between verbal, algebraic, numerical, visual and conceptual characterisation of a system;
  • demonstrate the advantages of being quantitatively skilled in a scientific environment;
  • demonstrate the accessibility of mathematics and increase student familiarity with associated terminology.

Graduate Qualities

  • The ability to define and to solve problems in at least one discipline area;
  • The ability to think critically, to analyse and evaluate claims, evidence and arguments, and to reason and deploy evidence clearly and logically;
  • The ability to find and access information using appropriate media and technologies;
  • The ability to evaluate that information;
  • The acquisition of coherent and disciplined sets of skills, knowledge, values and professional ethics from at least one discipline area;
  • The ability to manage future career and personal development;
  • The ability to generate, calculate, interpret and communicate numerical information in ways appropriate to a given discipline or discourse;
  • The ability to work individually and independently;
  • The ability to select and use appropriate tools and technologies.
Prerequisites: MA1020 or Senior Mathematics or equivalent and allow concurrent enrolment for MA1020

Availabilities

Cairns, Study Period 2, Internal
Census Date 23-Aug-2012
Coord/Lect: Mr Jeremy Gordon.
Workload expectations:
  • 26 hours lectures
  • 26 hours tutorials
  • 3 hours
Assessment: end of semester exam (60%); quizzes or tests (30%); assignments (10%).

Townsville, Study Period 2, Internal
Census Date 23-Aug-2012
Coordinator: Professor Yvette Everingham
Workload expectations:
  • 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 (30%); assignments (10%).

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.