SIT291 - Mathematical Methods for Information Modelling
|Year||2015 unit information|
|Enrolment modes:||Trimester 1: Burwood (Melbourne), Cloud (online)|
2 x 1 hour class per week, 1 x 2 hour practical per week
Note:You will need to access substantial learning resources and experiences in CloudDeakin (Deakin’s online learning environment). Compliance with the Standards in computing, connectivity and student capability are a condition on your enrolment.
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
|Student Contribution Rate*||Student Contribution Rate**||Fee rate - Domestic Students||Fee rate - International students|
* Rate for all CSP students, except for those who commenced Education and Nursing units pre 2010
** Rate for CSP students who commenced Education and Nursing units pre 2010
Please note: Unit fees listed do not apply to Deakin Prime students.