## 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

## 300-level

STAT312
Data Collection and Sampling Methods
Description
Data collection and sampling methods. Designs for surveys of populations.
Occurrences
Semester One 2024
Points
15 points
Prerequisites
15 points from STAT200-299 and a further 15 points from STAT200-299 or DATA200-299 the rationale is that this takes into account new pathways into the course from recent data offerings.

STAT313
Computational Statistics
Description
This course is an introduction to nonparametric statistical methods based on empirical distribution functions, kernel smoothing, bootstrap, and resampling. We will study these methods by looking at their theoretical properties and their performance in practical data analysis
Occurrences
Semester One 2024
Points
15 points
Prerequisites
15 points from 200 level MATH or EMTH, STAT210-299 or DATA203

STAT314
Bayesian Inference
Description
This course explores the Bayesian approach to statistics by considering the theory, methods for computing Bayesian solutions, and examples of applications.
Occurrences
Semester Two 2024
Points
15 points
Prerequisites
30 points from 200 level MATH, EMTH, STAT202-299, DATA203 and PHYS285

STAT315
Multivariable Statistical Methods and Applications
Description
Detailed study of multivariate methods. Application of multivariate methods, test statistics and distributions.
Occurrences
Semester One 2024
Points
15 points
Prerequisites
15 points from STAT200-299 and a further 15 points from DATA200-299 or STAT200-299.

STAT317
Time Series Methods
Description
Analysis of sequentially collected data including data modelling and forecasting techniques.
Occurrences
Semester Two 2024
Points
15 points
Prerequisites
15 points from MATH102, EMTH118 or MATH199; and another 30 points from 200 level STAT or ECON213
Restrictions

STAT318
Data Mining
Description
Parametric and non-parametric statistical methodologies and algorithms for data mining.
Occurrences
Semester One 2024
Points
15 points
Prerequisites
15 points from MATH102, EMTH118 or MATH199; and another 30 points from 200 level STAT, COSC, DATA, MATH or EMTH

STAT319
Generalised Linear and Multivariate Models
Description
STAT319 is a course in Generalised Linear Models (GLM), suited to anyone with an interest in analysing data. In this course we introduce the components of GLM and other advanced data analysis techniques. We use the free-ware package R. R is becoming the preferred computer package for many statisticians. In this course we will show you how to use the package, enter, manipulate and analyse data in R.
Occurrences
Semester Two 2024
Points
15 points
Prerequisites
30 points from STAT202-299

STAT391
Special Topic
Description
This special topic will allow flexibility to offer new or one-off courses of strategic importance to the Department. Its potential uses include: new staff developing a course in their areas of research specialisation; visiting Erskine fellows offering courses covering exciting new developments.
Occurrences
Semester One 2024
Points
15 points
Prerequisites
Subject to the approval of the Head of School.

STAT392
Special Topic
Description
This special topic will allow flexibility to offer new or one-off courses of strategic importance to the Department. Its potential uses include: new staff developing a course in their areas of research specialisation; visiting Erskine fellows offering courses covering exciting new developments.
Occurrences
Semester Two 2024
Points
15 points
Prerequisites
Subject to approval of the Head of School.

STAT393
Independent Course of Study
Occurrences
Semester One 2024
Points
15 points
Prerequisites
Subject to approval of the Head of School.

STAT394
Independent Course of Study
Occurrences
Semester Two 2024
Points
15 points
Prerequisites
Subject to approval of the Head of School.

STAT395
Statistics Project
Description
This 150 hour course provides students with an opportunity to develop statistical research skills to extend and strengthen their understanding of an area of statistics. Note: This course cannot be included as part of the 300 level requirement for a Mathematics or Statistics major.
Occurrences
Summer Nov 2023
Summer Nov 2024
Points
15 points
Prerequisites
Subject to approval of the Head of School

## 300-level

STAT316
Applied Stochastic Modelling
Description
Theory and applications of Markov processes. Applications to population dynamics, queuing and reliability.
Occurrences
Not offered 2024, offered in 2010
For further information see STAT316 course details
Points
15 points