EG1002 - Computing for Engineers

Credit points:	03
Year:	2013
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
Townsville, Internal, Study Period 1
Census Date 28-Mar-2013
Coordinator:	Mr Peter Grabau
Lecturers:	Mr Phil Turner, Mr Bronson Philippa.
Contact hours:	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%).
Cairns, Internal, Study Period 1
Census Date 28-Mar-2013
Coordinator:	Mr Peter Grabau
Lecturer:	Dr Janaka Balasuriya.
Contact hours:	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.