SIT291 - Mathematical Methods for Information Modelling
|Year||2016 unit information|
|Enrolment modes:||Trimester 1: Burwood (Melbourne), Cloud (online)|
Campus: 2 x 1 hour class per week, 1 x 2 hour practical per week.
Cloud (online): Learning experiences are via CloudDeakin. Students will have the opportunity to participate in online consultation sessions.
The concepts of differentiation and integration for the multi variable functions constitute the core of this unit, along with the notion of partial differentiation. Several techniques are then developed for solving constrained and unconstrained multivariate optimization problems and solving second order ordinary differential equations. Applications of these mathematical techniques to the modelling of motion in space, optimization in business and economics, various forces in physics, periodic processes in mechanics, electric circuits and biology are presented.
Examination 60%, three assignments (10%, 15%, 15%) 40%
Unit Fee Information
All Commonwealth Supported Place (CSP), fee paying undergraduate and pre-2016 commencing students
Unit fee information available soon
2016 commencing International and full fee paying postgraduate domestic students
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