Hobart, Launceston
Introduction
The unit is primarily designed for students to develop basic to intermediate computer-based skills to solve engineering problems using mathematical and programming techniques. The emphasis is on developing solutions and algorithms by building well structured and efficient computer programs and presenting results in a clear and concise manner in conjunction with engineering problem solving. Students will develop experimental analysis skills and will demonstrate data analysis, software design, report writing, group work & presentation skills. The acquired knowledge and skills will contribute to forming fundamental abilities for further year units related to computer aided engineering and problem solving.
Summary 2021
Unit name | Engineering Problem Solving and Data Analysis |
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Unit code | KAA109 |
Credit points | 12.5 |
Faculty/School | College of Sciences and Engineering College Office - CSE |
Discipline | National Centre for Maritime Engineering and Hydrodynamics|Engineering |
Coordinator | Jean-Roch Nader |
Available as student elective? | No |
Breadth Unit? | No |
Availability
Note
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Units are offered in attending mode unless otherwise indicated (that is attendance is required at the campus identified). A unit identified as offered by distance, that is there is no requirement for attendance, is identified with a nominal enrolment campus. A unit offered to both attending students and by distance from the same campus is identified as having both modes of study.
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TNE Program units special approval requirements.
* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (see withdrawal dates explained for more information).
Learning Outcomes
1 | Design structured programs and algorithms relevant to engineering problems. |
2 | Solve fundamental engineering problems using programming and mathematical techniques. |
3 | Analyse data from an engineering experiment using procedural and functional programming techniques. |
4 | Design a software solution to a complex engineering problem in a team environment. |
Fees
Teaching
Teaching Pattern | 1 x 60 minute lecture weekly, 1 x 180 minute computer laboratory weekly |
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Assessment | ATT1 - Multiple quizzes (10%) ATT2 - Assignment 1 (20%) ATT3 - Assignment 2 (30%) ATT4 - Assignment 3 (40%) |
Timetable | View the lecture timetable | View the full unit timetable |
Textbooks
Required | None |
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The University reserves the right to amend or remove courses and unit availabilities, as appropriate.