SCIENTIFIC COMPUTING
MAT3SC
2014
Credit points: 15
Subject outline
Numerical mathematics studies both the accuracy and stability of computations and thus plays a vital role whenever computers are used to solve quantitative problems. The main theme of this subject is an introduction to numerical computing, including floating point arithmetic, sources of error, ill conditioning and stability of algorithms. This theme is illustrated by developing and analyzing algorithms for solving non-linear equations and differential equations and for evaluating integrals. The practice classes will be conducted using MATLAB as a computational environment. No previous experience with MATLAB is required.
Faculty: Faculty of Science, Tech & Engineering
Credit points: 15
Subject Co-ordinator: Peter Van Der Kamp
Available to Study Abroad Students: Yes
Subject year level: Year Level 3 - UG
Exchange Students: Yes
Subject particulars
Subject rules
Prerequisites: MAT1CLA or (MAT1NLA and MAT1CDE)
Co-requisites: N/A
Incompatible subjects: N/A
Equivalent subjects: N/A
Special conditions: N/A
Melbourne, 2014, Semester 2, Day
Overview
Online enrolment: Yes
Maximum enrolment size: N/A
Enrolment information:
Subject Instance Co-ordinator: Peter Van Der Kamp
Class requirements
Computer LaboratoryWeek: 31 - 43
One 2.0 hours computer laboratory per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.
LectureWeek: 31 - 43
Two 1.0 hours lecture per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.
Assessments
| Assessment element | Comments | % |
|---|---|---|
| one 3-hour written examination | 70 | |
| three programming assignments | 30 |