EG1002 - Computing for Engineers
| Credit points: | 03 |
| Year: | 2015 |
| Student Contribution Band: | Band 2 |
| Administered by: | College of Science, Technology & Engineering |
Computational analysis and solution for engineering problems; MATLAB as a programming language and a tool for data analysis; design of algorithmic solutions to engineering problems; testing of algorithmic solutions and programs; 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 26-Mar-2015 | |
| Coordinator: | Dr Bronson Philippa |
| Lecturer: | Mr Nick Stewart. |
| Contact hours: |
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| Assessment: | quizzes or tests (20% - 40%); practical laboratories (15%); assignments (45% - 65%). |
| Cairns, Internal, Study Period 1 | |
| Census Date 26-Mar-2015 | |
| Coordinator: | Dr Bronson Philippa |
| Lecturer: | Dr Phillip Musumeci. |
| Contact hours: |
|
| Assessment: | quizzes or tests (20% - 40%); practical laboratories (15%); assignments (45% - 65%). |
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.