200-level

STAT201
Applied Statistics
Description
A practical introduction to commonly used statistical methods, designed to increase the breadth of statistics skills. The emphasis is on the application of statistical techniques to solve problems involving real data.
Occurrences
Semester One 2024
Points
15 points
Prerequisites
STAT101 or DATA101 or 15 points from 100-level MATH or EMTH (excluding MATH110)
Restrictions
FORE210, STAT220, FORE222, STAT222

STAT202
Regression Modelling
Description
Regression models are the most widely used statistical tools for examining the relationships among variables. This course will provide a practical introduction to the fundamentals of regression modelling.
Occurrences
Semester Two 2024
Points
15 points
Prerequisites
STAT101 or DATA101 or 15 points from 100-level MATH or EMTH (excluding MATH110)
Restrictions
FORE210, STAT220, FORE224, STAT224

STAT211
Random Processes
Description
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.
Occurrences
Semester One 2024
Points
15 points
Prerequisites
Either a) MATH199; or b) 15 points from MATH102 or EMTH118, and another 15 points from 100 level STAT, DATA, MATH, or EMTH (excluding MATH101 and MATH110)
Restrictions
STAT216

STAT213
Statistical Inference
Description
This course provides the theoretical foundations for statistical estimation and testing at an introductory level. These are essential for more advanced studies in statistics at higher levels because they facilitate a deeper understanding of statistical techniques and their applications.
Occurrences
Semester Two 2024
Points
15 points
Prerequisites
(1) one of MATH102, MATH199 or EMTH118; and (2) one of STAT101, DATA101, STAT211, EMTH119, or EMTH210
Restrictions
STAT214

STAT221
Introduction to Statistical Computing Using R
Description
Statistical computing skills are essential within the modern workplace of statisticians and other quantitative/analytical positions. This course will develop and build your skills in computer programming for statistics, using the free statistical computing package R which is one of the most widely used tools for data analysis. The course provides excellent preparation for the many UC statistics courses that use R and, more generally, courses that require quantitative computing skills. The newly developed computing skills will also be used to unleash the power of modern computational statistical techniques for analysing complex real world data.
Occurrences
Semester Two 2024
Points
15 points
Prerequisites
Either a) MATH199; or b) 15 points from MATH102 or EMTH118, and another 15 points from 100 level STAT, DATA, MATH, or EMTH (excluding MATH101 and MATH110)
Restrictions
STAT218