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EG1002 - Computing for Engineers

Credit points: 3
Year: 2012
Student Contribution Band: Band 2
Administered by: School of Engineering

Computational analysis and solution for engineering problems; MATLAB as a tool for data analysis; design of algorithmic solutions to engineering problems; number systems and codes; computational uncertainty.

Learning Outcomes

  • structured approach to development of algorithmic solutions in MATLAB;
  • demonstrable ability to apply MATLAB functions to the solution of common engineering problems;
  • capacity to appropriately manage data for common engineering problems;
  • understanding of rounding, truncation, and error in computational solutions.

Graduate Qualities

  • The ability to adapt knowledge to new situations.

Availabilities

Cairns, Study Period 1, Internal
Census Date 22-Mar-2012
Coordinator: Mr Phil Turner
Lecturer: <Person not found>.
Workload expectations:
  • 71 hours - 2 hours lecture, 2 hours workshop, 3 hours laboratory per week. Classes commence in first scheduled lecture OR workshop. Contact load reduces in second half of study period.
Assessment: end of semester exam (50% - 70%); on-course assessment, some of which may be invigilated (30% - 50%).

Townsville, Study Period 1, Internal
Census Date 22-Mar-2012
Coordinator: Mr Phil Turner
Lecturer: Dr Bronson Philippa.
Workload expectations:
  • 71 hours - 2 hours lecture, 2 hours workshop, 3 hours laboratory per week. Classes commence in first scheduled lecture OR workshop. Contact load reduces in second half of study period.
Assessment: end of semester exam (50% - 70%); on-course assessment, some of which may be invigilated (30% - 50%).

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.