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During 2021 we will continue to support students who need to study remotely due to the ongoing impacts of COVID-19 and travel restrictions. Make sure you check the location code when selecting a unit outline or choosing your units of study in Sydney Student. Find out more about what these codes mean. Both remote and on-campus locations have the same learning activities and assessments, however teaching staff may vary. More information about face-to-face teaching and assessment arrangements for each unit will be provided on Canvas.

Unit of study_

ENGG9801: Engineering Computing

This unit introduces students to solving engineering problems using computers. Students learn how to organize data to present and understand it better using a spreadsheet (Excel), and also how to instruct the computer exactly what to do to solve complex problems using programming (Matlab). Real engineering examples, applications and case-studies are given, and students are required to think creatively and solve problems using computer tools. Matlab will cover three-quarters of the unit. The remaining one-quarter will be devoted to the use of Excel in engineering scenarios. Furthermore, cross integration between Matlab and Excel will also be highlighted. No programming experience is required or assumed. Students are assumed to have a basic understanding of mathematics and logic, and very elementary computing skills.

Code ENGG9801
Academic unit Computer Science
Credit points 6
Prerequisites:
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None
Corequisites:
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None
Prohibitions:
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ENGG5801 OR ENGG1801

At the completion of this unit, you should be able to:

  • LO1. employ good practices in developing MATLAB and EXCEL applications and be aware of requirements for software benchmarking and validation
  • LO2. examine digital images represented as matrices and operations on images abstracted as operations on matrices. Be aware of how imaging software products are based on matrix operations
  • LO3. carry out simple matrix computations including matrix sum, product, dot product, calculating the determinant and elementary functions on matrix
  • LO4. evaluate data in Matlab from and in different formats and to interpret and process the data to obtain meaningful results. Able to plot data in 2 dimensions and use Matlab’s advanced 3-dimensional surface plots
  • LO5. identify the appropriate product for the particular class of engineering
  • LO6. reflect on basic concepts of computing such as abstraction, describing a solution of a problem as an algorithm and running Matlab programs. Ability to use MATLAB and EXCEL to model engineering problems
  • LO7. demonstrate fundamental programming concepts such as flow of control, loops, functions and parameters passing. Able to use basic data structures such as arrays and structures of heterogeneous objects.

Unit outlines

Unit outlines will be available 2 weeks before the first day of teaching for the relevant session.