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EG1002 - Computing for Engineers

Credit points: 3
Year: 2014
Student Contribution Band: Band 2
Administered by: School of Engineering (pre 2015)

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.

Availabilities

Townsville, Internal, Study Period 1
Census Date 27-Mar-2014
Coordinator: Professor Janina Mazierska
Lecturers: Professor Janina Mazierska, Mr Phil Turner.
Workload expectations:
  • 13 hours lectures
  • 26 hours practicals
Assessment: end of semester exam (50% - 70%); on-course assessment, some of which may be invigilated (30% - 50%).

Cairns, Internal, Study Period 1
Census Date 27-Mar-2014
Coordinator: Professor Janina Mazierska
Lecturer: <Person not found>.
Workload expectations:
  • 13 hours lectures
  • 26 hours practicals
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.