Use the Tab and Up, Down arrow keys to select menu items.
This course introduces some of the most useful probability concepts and models that are widely used in biology, medicine, economics, finance, engineering, physics and many other areas. The models that will be covered are Markov chains and Poisson processes.
Be able to identify, formulate and solve certain probability problems;understand the model assumptions and mathematical properties of some commonrandom processes, which may include Markov chains, random walks, Poissonprocesses and martingales;be able to use these models in simple applications.
This course will provide students with an opportunity to develop the Graduate Attributes specified below:
Employable, innovative and enterprising
Students will develop key skills and attributes sought by employers that can be used in a range of applications.
Either a) MATH199; or b) 15 points from MATH102 or EMTH118, and another 15 points from 100 level STAT, DATA, MATH, orEMTH (excluding MATH101 and MATH110)
STAT216
Students must attend one activity from each section.
Philipp Wacker
Marco Reale
General information for students Library portal LEARN
Domestic fee $897.00
International fee $5,188.00
* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.
For further information see Mathematics and Statistics .