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:
| STAT 231 |
Statistics (or equivalent, e.g., SYDE 214, ME 202, CHE 220, CIVE 224, ENVE 224) |
| STAT 331 |
Applied Linear Models (or equivalent, e.g., SYDE 334) |
| STAT 332 |
Sampling and Experimental Design |
| STAT 435 |
Statistical Methods for Process Improvement |
A student must take three additional courses from those listed below:
| STAT 230 |
Probability (or equivalent, e.g., SYDE 213) |
| STAT 333 |
Applied Probability |
| STAT 430 |
Experimental Design |
| STAT 431 |
Generalized Linear Models and their Applications |
| STAT 433 |
Stochastic Processes |
| STAT 443 |
Forecasting |
| CHE 37 |
Applied Mathematics 2 |
| CHE 41 |
Introduction to Process Control |
| CHE 522 |
Advanced Process Dynamics and Control |
| CHE 524 |
Process Control Laboratory |
| CHE 622 |
Statistics in Engineering |
| CIVE 342 |
Transport Principles and Applications |
| CIVE 444 |
Urban Transport Planning |
| CIVE 375 |
Water Quality Engineering |
| CIVE 440 |
Transport Systems Analysis |
| CIVE 343 |
Traffic Engineering |
|
CIVE 486
|
Hydrology
|
| ENVE 473 |
Contaminant Transport |
| ME 340 |
Manufacturing Processes |
MSCI 431 or
SYDE 511
|
Stochastic Models and Methods
Optimization Methods for Stochastic Systems |
| MSCI 432 |
Production and Service Operations Management |
| MSCI 452 |
Decision Making Under Uncertainty |
|
MTE 201
|
Experimental Measurement and Statistical Analysis
|
|
SYDE 372
|
Introduction to Pattern Recognition
|
| SYDE 511 |
Optimization Methods for Stochastic Systems |
| SYDE 533 |
Conflict Analysis |
For further information contact the Option Co-ordinators.