300-level

STAT312
Data Collection and Sampling Methods
Description
Data collection and sampling methods. Designs for surveys of populations.
Occurrences
Semester One 2023
Points
15 points
Prerequisites
30 points from 200 level STAT
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 2023
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 2023
Points
15 points
Prerequisites
15 points from 200 level MATH or EMTH, STAT210-299 or DATA203
STAT315
Multivariable Statistical Methods and Applications
Description
Detailed study of multivariate methods. Application of multivariate methods, test statistics and distributions.
Occurrences
Semester One 2023
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 2023
Points
15 points
Prerequisites
15 points from MATH102, EMTH118 or MATH199; and another 30 points from 200 level STAT or ECON213
Restrictions
ECON323, FINC323
STAT318
Data Mining
Description
Parametric and non-parametric statistical methodologies and algorithms for data mining.
Occurrences
Semester One 2023
Semester Two 2023
Points
15 points
Prerequisites
15 points from MATH102, EMTH118 or MATH199; and another 30 points from 200 level STAT, COSC, DATA, MATH or EMTH
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 2023
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 2023
Points
15 points
Prerequisites
Subject to approval of the Head of School.
STAT393
Independent Course of Study
Occurrences
Semester One 2023
Points
15 points
Prerequisites
Subject to approval of the Head of School.
STAT394
Independent Course of Study
Occurrences
Semester Two 2023
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
Points
15 points
Prerequisites
Subject to approval of the Head of School

Not Offered Courses in 2023

300-level

STAT316
Applied Stochastic Modelling
Description
Theory and applications of Markov processes. Applications to population dynamics, queuing and reliability.
Occurrences
Not offered 2023, offered in 2010
For further information see STAT316 course details
Points
15 points
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
STAT319-23S1 (C)
Semester One 2023 - Not offered
For further information see STAT319 course details
Points
15 points
Prerequisites
30 points from STAT202-299