Optimisation

MTH30006 12.5 Credit Points Hawthorn Available to incoming Study Abroad and Exchange students

Duration

  • One Semester or equivalent

Contact hours

  • 48 hours face to face + Blended

On-campus unit delivery combines face-to-face and digital learning.

2023 teaching periods

Hawthorn

Higher Ed. Semester 1

Dates:
27 Feb 23 - 28 May 23

Results:
4 Jul 23

Last self enrolment:
12 Mar 23

Census:
31 Mar 23

Last withdraw without fail:
14 Apr 23


Aims and objectives

This unit aims to develop the ability to cast real life situations as mathematical problems and apply efficient analytical and computational methods to solve them.

Unit Learning Outcomes (ULO)
On successful completion of this unit students will be able to:
 
1. Classify mathematical programming problems as linear or nonlinear
2. Use graphical and analytical tools to solve linear programming problems 
3. Classify mathematical programming problems as convex or nonconvex 
4. Formulate real-life problems as mathematical programming problems (linear and convex problems 
5. Use appropriate optimisation tools and software (Matlab and Excel) to solve mathematical programming problems 
6. Solve binary, integer and mixed integer programming problems