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Unit of study_
ENGG1810: Introduction to Engineering Computing
2025 unit information
This unit introduces students to computational thinking and programming skills essential for solving a variety of engineering problems. Students will explore how complex engineering applications can be modeled and analyzed using computational tools, including data processing and time-series analysis, dynamic system simulations, and decision-making optimization. The unit covers fundamental programming concepts—such as variables, functions, data structures, algorithms, and data visualization—as well as essential coding skills. Students will learn to transform real-world engineering challenges into computational tasks, develop efficient programs to solve these tasks, and evaluate the effectiveness of their solutions through visualized results. Throughout the unit, students will engage in exemplary projects, such as analyzing brain functionality, simulating climate change, and planning robot motion.
Unit details and rules
Managing faculty or University school:
Engineering
| Study level | Undergraduate |
|---|---|
| Academic unit | Computer Science |
| Credit points | 6 |
|
Prerequisites:
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None |
|---|---|
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Corequisites:
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None |
| Prohibitions:
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ENGG1801 or INFO1110 or INFO1910 or INFO1103 or INFO1903 or INFO1105 or INFO1905 or COSC1003 |
| Assumed knowledge:
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None |
At the completion of this unit, you should be able to:
- LO1. Develop programs to solve problems using computers.
- LO2. Employ conventions for writing consistently readable code.
- LO3. Compose a structured algorithmic design to solve a specified problem.
- LO4. Apply fundamental programming principles including data types, variables and operators, flow-control: simple statements, sequences, if-then-else, loops, functions, input/output and arrays; to produce a program that solves a specified problem.
- LO5. Compose, analyse, and trace procedural code to determine the expected output of a given program or produce a specified output.
- LO6. Apply testing methods and assess programs through debugging with the ability to write a set of tests for a small program or function
- LO7. Understand standard modules and packages in Python
- LO8. Read and interpret different input formats to produce the desired outcome.
- LO9. Apply basic numerical methods including numerical integration, curve fitting, root solving/optimisation and the least squares method
- LO10. Write simple functions to perform computational methods including calculation of basic statistics, regression, correlation, searching, sorting on data.
- LO11. Plot in two and three dimensions to produce an appropriate visualization of the data.
Unit availability
This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.
The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.
| Session | MoA ? | Location | Outline ? |
|---|---|---|---|
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Semester 1 2025
|
Normal day | Camperdown/Darlington, Sydney |
Outline unavailable
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Semester 2 2025
|
Normal day | Camperdown/Darlington, Sydney |
Outline unavailable
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Modes of attendance (MoA)
This refers to the Mode of attendance (MoA) for the unit as it appears when you’re selecting your units in Sydney Student. Find more information about modes of attendance on our website.
Important enrolment information
Additional advice
The Intensive February offering of this unit requires departmental permission to ensure enrolled students are those who have previously attempted the unit. Students who have not attempted the unit in a previous semester may enrol in the standard semester.
