COMPUTATION AND SIMULATION

STM3CS

2020

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.

School: Engineering and Mathematical Sciences (Pre 2022)

Credit points: 15

Subject Co-ordinator: Nadiya Kosytsina

Available to Study Abroad/Exchange Students: Yes

Subject year level: Year Level 3 - UG

Exchange Students: No

Available as Elective: No

Learning Activities: N/A

Capstone subject: No

Subject particulars

Subject rules

Prerequisites: STM2PM OR MAT1CDE OR STA2MD OR MAT1CLA

Co-requisites: N/A

Incompatible subjects: MAT3SC

Equivalent subjects: N/A

Quota Management Strategy: N/A

Quota-conditions or rules: N/A

Special conditions: N/A

Minimum credit point requirement: N/A

Assumed knowledge: N/A

Career Ready

Career-focused: No

Work-based learning: No

Self sourced or Uni sourced: N/A

Entire subject or partial subject: N/A

Total hours/days required: N/A

Location of WBL activity (region): N/A

WBL addtional requirements: N/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.

Melbourne (Bundoora), 2020, Semester 1, Day

Overview

Online enrolment: Yes

Maximum enrolment size: N/A

Enrolment information: N/A

Subject Instance Co-ordinator: Nadiya 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.

Assessments

Assessment element	Comments	Category	Contribution	Hurdle	%	ILO*
3 hour examination	N/A	N/A	N/A	No	60	SILO1, SILO2, SILO3, SILO4
Four assignments (approx 350 words each, 1500 total)	N/A	N/A	N/A	No	40	SILO1, SILO2, SILO3, SILO4