Key facts

UNE unit code: SCI210

*You are viewing the 2027 version of this unit which may be subject to change in future.

Start
  • Trimester 1 - On Campus
  • Trimester 1 - Online
Campus
  • Armidale Campus
24/7 online support
  • Yes
Intensive schools
  • No
Supervised exam
  • Yes
Credit points
  • 6

Unit information

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Are you interested in learning skills in technology and scientific data modelling that can help you to stand out in your career, but lack programming experience?

This unit provides you with an introduction to scientific programming, using problem-based learning and hands-on, practical exercises.

Delving into fundamental programming concepts that are invaluable in a scientist’s tool kit, the unit is designed to help you hone the skills needed to use and apply common techniques used in modern scientific programming. These include data analysis, advanced graphs and image analysis.

You will develop programs in MATLAB, applying these to a wide range real-world of topical and emerging issues in the physical and life sciences.

Offerings

For further information about UNE's teaching periods, please go to Principal Dates.

Teaching period
Mode/location
Trimester 1On Campus, Armidale Campus
Trimester 1Online

*Offering is subject to availability

Intensive schools

There are no intensive schools required for this unit.

Enrolment rules

Pre-requisites
MATH101 or MATH120 or MTHS110 or MTHS120 or MTHS130
Restrictions
SCI410
Combined units

Notes

Access to MATLAB is required.This is available through a central server and through a university-wide site licence, allowing installation on students' personal computers.

Please refer to the student handbook for current details on this unit.

Unit coordinator(s)

profile photo of Robert Cope
Robert CopeSenior Lecturer - Faculty of Science, Agriculture, Business and Law; School of Science and Technology

Learning outcomes

Upon completion of this unit, students will be able to:

  1. use technical and logical skills to develop well-structured computer programs in MATLAB;
  2. demonstrate the application of programs to real-world scientific problems, with students applying modelling skills learned in this unit to the physical and life sciences;
  3. apply current methods of data analysis and visualisation to a wide range of scientific data, including mobile and remote sensors, publically-available data, simulated data, and images; and
  4. critically appraise and effectively communicate results of their analyses to others.

Assessment information

Assessments are subject to change up to 8 weeks prior to the start of the teaching period in which you are undertaking the unit.

TitleMust CompleteWeightOfferingsAssessment Notes
AssignmentsYes20%All offerings

Programming assessment. 10 weekly programming projects worth 2% each. These assessments must be attempted in order to pass the unit.

Final Examination - Assurance TaskYes80%All offerings

It is mandatory to pass this examination in order to pass the unit.

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: Recommended material may be held in the University Library — purchase is optional.

MATLAB: A Practical Introduction to Programming and Problem Solving

ISBN: 9780323917506

Attaway, S., Butterworth-Heinemann 6th ed. 2022

Note: Please note that the 5th edition of this textbook is also acceptable.

Text refers to: All offerings

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