Credit points: 15

Subject outline

In mathematics, one uses algebra and calculus to find 'exact' solutions to mathematical problems. In statistics, engineering, physics, and applied mathematics, when dealing with 'the real world', one encounters situations where the best one can do is to find an approximate solution to a problem. This is where computation and simulation plays a vital role. As well as appreciating the numerical methods for obtaining approximate solutions in their own right, understanding concepts such as accuracy and computational efficiency are important. Naturally, computing and simulation are carried out using software programs such as Excel spreadsheets and the technical computing languages MATLAB, Maple or R; in this subject students will gain experience using these. The specific topics studied are: nonlinear equations, interpolation, smoothing and optimization, numerical integration, pseudorandom numbers and simulation.

SchoolEngineering and Mathematical Sciences

Credit points15

Subject Co-ordinatorNadiya Kosytsina

Available to Study Abroad/Exchange StudentsYes

Subject year levelYear Level 3 - UG

Available as ElectiveNo

Learning ActivitiesN/A

Capstone subjectNo

Subject particulars

Subject rules



Incompatible subjectsMAT3SC

Equivalent subjectsN/A

Quota Management StrategyN/A

Quota-conditions or rulesN/A

Special conditionsN/A

Minimum credit point requirementN/A

Assumed knowledgeN/A

Career Ready


Work-based learningNo

Self sourced or Uni sourcedN/A

Entire subject or partial subjectN/A

Total hours/days requiredN/A

Location of WBL activity (region)N/A

WBL addtional requirementsN/A

Graduate capabilities & intended learning outcomes

Graduate Capabilities

Intended Learning Outcomes

01. Apply appropriate computational methods using calculator and computer to solve mathematical and statistical problems that do not have analytic solutions
02. Determine accuracy characteristics of numerical algorithms
03. Use appropriate mathematical language to write solutions to problems
04. Interpret and write explanations of the solutions to computational problems in appropriate language and write explanations of associated mathematical and statistical concepts.

Subject options

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Start date between: and    Key dates

Melbourne (Bundoora), 2021, Semester 1, Day


Online enrolmentYes

Maximum enrolment sizeN/A

Subject Instance Co-ordinatorNadiya Kosytsina

Class requirements

Computer LaboratoryWeek: 0 - 0
One 2.00 hours computer laboratory per week on weekdays during the day from week 0 to week 0 and delivered via face-to-face.

LectureWeek: 0 - 0
Two 1.00 hour lecture per week on weekdays during the day from week 0 to week 0 and delivered via face-to-face.


Assessment elementCommentsCategoryContributionHurdle% ILO*
3 hour examinationN/AN/AN/ANo60 SILO1, SILO2, SILO3, SILO4
Four assignments (approx 350 words each, 1500 total)N/AN/AN/ANo40 SILO1, SILO2, SILO3, SILO4