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2024
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Year
2024
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Semester
Subject
Jump to
300-level
STAT312
Data Collection and Sampling Methods
Description
Data collection and sampling methods. Designs for surveys of populations.
Occurrences
STAT312-24S1 (C)
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
STAT313-24S1 (C)
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
STAT314-24S2 (C)
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
STAT315-24S1 (C)
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
STAT317-24S2 (C)
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
ECON323
,
FINC323
STAT318
Data Mining
Description
Parametric and non-parametric statistical methodologies and algorithms for data mining.
Occurrences
STAT318-24S1 (C)
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
STAT319-24S2 (C)
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
STAT391-24S1 (C)
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
STAT392-24S2 (C)
Semester Two 2024
Points
15 points
Prerequisites
Subject to approval of the Head of School.
STAT393
Independent Course of Study
Occurrences
STAT393-24S1 (C)
Semester One 2024
Points
15 points
Prerequisites
Subject to approval of the Head of School.
STAT394
Independent Course of Study
Occurrences
STAT394-24S2 (C)
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
STAT395-23SU2 (C)
Summer Nov 2023
Points
15 points
Prerequisites
Subject to approval of the Head of School
Not Offered Courses in 2024
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