Key facts
UNE unit code: AMTH250
*You are viewing the 2026 version of this unit which may be subject to change in future.
- Trimester 1 - On Campus
- Trimester 1 - Online
- Armidale Campus
- Yes
- No
- Yes
- 6
Unit information
The technology-driven worlds of science and engineering are increasingly integrated with computer science and its applications. Having high-level quantitative skills and the ability to keep pace with new developments in programming can help you to stand out in your career.
This unit introduces you to fundamental programming concepts, including conditional branching, looping and recursion, and you will learn to program in a high-level programming language.
Studying the algorithms used for common tasks in numerical analysis, you will explore solving linear equations, interpolation, root finding, curve fitting, numerical integration, random numbers and Monte Carlo methods, and numerical solutions to ordinary differential equations.
Throughout the unit, hands-on quantitative problems relevant to the sciences and engineering will allow you to hone your problem-solving skills.
Offerings
For further information about UNE's teaching periods, please go to Principal Dates.
| Teaching period | Mode/location |
|---|---|
| Trimester 1 | On Campus, Armidale Campus |
| Trimester 1 | Online |
*Offering is subject to availability
Intensive schools
There are no intensive schools required for this unit.
Enrolment rules
Notes
Access to Matlab is required
Please refer to the student handbook for current details on this unit.
Unit coordinator(s)
Learning outcomes
Upon completion of this unit, students will be able to:
- develop logical and well structured computer programs in a high-level programming language;
- solve scientific and engineering problems by designing and implementing algorithms in a high-level programming language;
- analyse and debug computer programs to describe their purpose and identify logic and syntactical errors whenever they are present;
- apply the tools and commands available in UNIX-type operating systems for tasks relating to basic administration and data processing;
- demonstrate the ability to apply the concepts taught to a range of topics in computational mathematics; and
- demonstrate a knowledge of the basic principles of computational error and limits of accuracy.
Learning resources
Textbooks are subject to change up to 8 weeks prior to the start of the teaching period in which you are undertaking the unit.
Note: Students are expected to purchase prescribed material. Please note that textbook requirements may vary from one teaching period to the next.
MATLAB: A Practical Introduction to Programming and Problem Solving
ISBN: 9780323917506
Attaway, S., Butterworth-Heinemann 6th ed. 2022
Text refers to: All offerings
Note: Recommended material may be held in the University Library — purchase is optional.
Numerical Computing with MATLAB
ISBN: 9780898716603
Moler, C.B., SIAM 2nd ed. 2010
Text refers to: All offerings
Advanced Engineering Mathematics: International Student Edition
ISBN: 9780470646137
Kreyszig, E., Wiley 10th ed. 2011
Text refers to: All offerings
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