Skip to main content

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_

ENGG1801: Engineering Computing

This unit introduces students to solving engineering problems using computers. Students learn how to organise 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 ENGG1801
Academic unit Computer Science
Credit points 6

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

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