Studying online

There are now 2 possible online modes for units:

Units with modes Online timetabled and Online flexible are available for any student to self-enrol and study online.

Click on an offering mode for more details.

Unit Overview

Description

In this unit, students develop an understanding of scientific computing and modelling, analysis, problem solving and visualisation. They understand the approach of computational modelling; will develop strong programming skills in data analysis modelling; understand limitations and uncertainty in models; devise and implement computational models; analyse data and hypotheses; are aware of reliability and correctness; and are able to perform simulation and testing.

Credit
6 points
Offering
(see Timetable)
AvailabilityLocationMode
Semester 1UWA (Perth)Face to face
Semester 2UWA (Perth)Face to face
Outcomes

Students are able to (1) devise and produce graphs and visualisations of numerical data

; (2) analyse data and hypotheses; (3) demonstrate strong programming skills; (4) manage data using spreadsheet applications; (5) understand the computational model, limitations and uncertainty; and (6) devise and implement computational models and simple numerical methods in a modern programming language.

Assessment

Indicative assessments in this unit are as follows: (1) assignments and labs; (2) mid-semester test; and (3) final examination. Further information is available in the unit outline.



Student may be offered supplementary assessment in this unit if they meet the eligibility criteria.

Unit Coordinator(s)
Dr Anwarul Patwary
Unit rules
Prerequisites
ATAR Subject(s) Mathematics Methods
or MATH1721 Mathematics Foundations: Methods or equivalent
or MATX1721 Mathematics Foundations
or Enrolment in
MJD-AGTDM Agricultural Science and Technology
or MJD-IEMDM Integrated Earth and Marine Sciences
or MJD-MARDM Marine Science MJD-AGTEC Agricultural Technology MJD-MARCP Marine and Coastal Processes
and SCIE1500 Analytical Methods for Scientists
Incompatibility
CITS1401 Computational Thinking with Python
or CITX1401 Computational Thinking with Python
Contact hours
lectures: 2 hours per week
labs: 3 hours per week
workshop: 1 hour per week
  • The availability of units in Semester 1, 2, etc. was correct at the time of publication but may be subject to change.
  • All students are responsible for identifying when they need assistance to improve their academic learning, research, English language and numeracy skills; seeking out the services and resources available to help them; and applying what they learn. Students are encouraged to register for free online support through GETSmart; to help themselves to the extensive range of resources on UWA's STUDYSmarter website; and to participate in WRITESmart and (ma+hs)Smart drop-ins and workshops.
  • Visit the Essential Textbooks website to see if any textbooks are required for this Unit. The website is updated regularly so content may change. Students are recommended to purchase Essential Textbooks, but a limited number of copies of all Essential Textbooks are held in the Library in print, and as an ebook where possible. Recommended readings for the unit can be accessed in Unit Readings directly through the Learning Management System (LMS).
  • Contact hours provide an indication of the type and extent of in-class activities this unit may contain. The total amount of student work (including contact hours, assessment time, and self-study) will approximate 150 hours per 6 credit points.