The aim of the Statistics Option is to provide the student with a broad background in applied statistics, especially in the areas of multiple regression, quality control, experimental design, and applied probability.
There are four required courses:
| Course |
Title
|
| STAT 231 |
Statistics (or equivalent, e.g., CHE 220, CIVE 224, ENVE 224, ME 202, MSCI 251, MTE 201, NE 215, SYDE 212) |
| STAT 331 |
Applied Linear Models (or equivalent, e.g., SYDE 334) |
| STAT 332 |
Sampling and Experimental Design (or equivalent, e.g., MSCI 253)
|
| STAT 435 |
Statistical Methods for Process Improvements |
A student must take three additional courses from those listed below:
| Course |
Title
|
| CHE 420 |
Introduction to Process Control |
| CHE 425 |
Strategies for Process Improvement and Product Development |
| CHE 522 |
Advanced Process Dynamics and Control |
| CHE 524 |
Process Control Laboratory |
| CIVE 343 |
Traffic Simulation Modelling and Applications
|
| CIVE 375 |
Environmental Engineering Principles |
| CIVE 440 |
Transit Planning and Operations |
| ENVE 573 |
Contaminant Transport |
| ME 340 |
Manufacturing Processes |
| MSCI 431 |
Stochastic Models and Methods |
or
SYDE 531 |
Design Optimization Under Probabilistic Uncertainty |
| MSCI 432 |
Production and Service Operations Management |
| MSCI 452 |
Decision Making Under Uncertainty |
| STAT 230 |
Probability (or equivalent) |
| STAT 333 |
Applied Probability |
| STAT 430 |
Experimental Design |
| STAT 431 |
Generalized Linear Models and their Applications |
| STAT 433 |
Stochastic Processes |
| STAT 443 |
Forecasting |
| SYDE 533 |
Conflict Resolution |
| SYDE 572 |
Introduction to Pattern Recognition |
For further information contact the option co-ordinator.