STAT211-15S1 (C) Semester One 2015

Random Processes

15 points

Details:
Start Date: Monday, 23 February 2015
End Date: Sunday, 28 June 2015
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 8 March 2015
  • Without academic penalty (including no fee refund): Sunday, 24 May 2015

Description

This course introduces some of the most useful probability 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, martingales and Poisson processes.

Learning Outcomes

  • be able to identify, formulate and solve certain probability problems
  • understand the model assumptions and mathematical properties of some common
    random processes, which may include Markov chains, random walks, Poisson
    processes and martingales.
  • be able to use these models in simple applications.

Prerequisites

(STAT101 or STAT111 or STAT112) and (MATH102 or EMTH118 or MATH108 or MATH109); or any one of MATH103, MATH199, EMTH119.

Restrictions

STAT216

Course Coordinator / Lecturer

Carl Scarrott

Lecturer

Marco Reale

Assessment

Assessment Due Date Percentage 
Assignments 40%
Final Examination 60%

Textbooks / Resources

There is no required textbook for the course. Our lectures will be based around the books:
1. Ross, S. (2009). Introduction to Probability Models.
2. Beichelt , F. (2006). Stochastic Processes in Science, Engineering, and Finance. e-book: http://www.crcnetbase.com.ezproxy.canterbury.ac.nz/isbn/9781584884934
3. Durrett, R. (1999). Essentials of Stochastic Processes

Indicative Fees

Domestic fee $699.00

International fee $3,450.00

* 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 .

All STAT211 Occurrences

  • STAT211-15S1 (C) Semester One 2015
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