Broadly speaking, mathematical optimisation refers to the selection of the 'best' element from an available set. The subject is fundamental in numerous scientific, financial and engineering applications and is an extremely active area of current research. This course introduces students to the fundamental analytical and computational techniques of mathematical optimisation. It provides students with the skills to formulate real-world problems in the language of optimisation, to solve these problems and to analyse the solutions.
Availability2019 Course Timetables
- Semester 1 - 2019
This course replaces the following course(s): MATH2730 and MATH3830. Students who have successfully completed MATH2730 or MATH3830 are not eligible to enrol in MATH3800.
On successful completion of the course students will be able to:
1. Formulate real-world problems in the mathematical language of optimisation
2. Solve problems using analytical and computational techniques
3. Interpret solutions of optimisation problems as they apply to scientific, financial and industrial applications
- Foundations of Optimisation
- Linear Programming
- Unconstrained Optimisation
- Nonlinear Optimisation
Students must have successfully completed MATH1510 and MATH2310 to enrol in this course.
Students cannot enrol in this course if they have previously successfully completed MATH2730
Formal Examination: Formal Examination
Written Assignment: Written Assignments
Face to Face On Campus 1 hour(s) per Week for 11 Weeks
Face to Face On Campus 2 hour(s) per Week for 12 Weeks
Face to Face On Campus 1 hour(s) per Week for 12 Weeks