Introduction to mathematical optimization for big data science 804

Module code MIT 804
Qualification Postgraduate
Faculty Faculty of Engineering, Built Environment and Information Technology
Module content

In this module students will be introduced to Mathematical Optimization through gaining knowledge about the theory and algorithms to solve optimisation problems. Topics will include: Linear programming, unconstrained optimization, equality constrained optimization, general linearly and nonlinearly constrained optimization, quadratic programming, global optimization, Theory and algorithms to solve these problems.

Module credits 5.00
NQF Level 09
Prerequisites First year level higher education modules in Computer Science, Mathematics and Statistics.
Contact time 5 contact hours
Language of tuition Module is presented in English
Department School of Information Technology
Period of presentation Quarter 2

The information published here is subject to change and may be amended after the publication of this information. The General Regulations (G Regulations) apply to all faculties of the University of Pretoria. It is expected of students to familiarise themselves well with these regulations as well as with the information contained in the General Rules section. Ignorance concerning these regulations and rules will not be accepted as an excuse for any transgression.

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