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2024
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Year
2024
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Semester
Subject
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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
STAT201-24S1 (C)
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
STAT202-24S2 (C)
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
DATA203
Data Science Multivariable Methods
Description
This course develops foundations for data science techniques. The focus of this course is on applications to modern data processing problems. Students will be introduced to multivariate statistical, linear algebra and calculus topics that are needed in data science and related subjects.
Occurrences
DATA203-24S1 (C)
Semester One 2024
Points
15 points
Prerequisites
One of
DATA101
,
STAT101
or
EMTH119
; and one of
MATH102
,
MATH199
or
EMTH118
Restrictions
MATH203
/
EMTH211
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
STAT211-24S1 (C)
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
STAT213-24S2 (C)
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
STAT221-24S2 (C)
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