Applied Statistics - Short Courses and Consulting
- Short Course Options
- Consulting
(consulting service for Swinburne research students) - Current Courses
(current calendar) - Costs
- Other Statistics Courses
- Application Forms
Short Course Options
Statistics@Swinburne runs a number of training courses for students, researchers and people from industry. One, two and three day courses are run both on campus, and off campus at times suitable to clients and lecturers. It is also possible to take topics in subjects in our graduate statistics courses as a short course or study single subjects.
Note: Programs run only if sufficient numbers and times may change according to demand.
Statistics Short Courses 2009
As indicated below, for some short courses it is necessary to purchase notes before the short course so that you can do some pre-reading. Please bring these notes to the short course. The web site for the bookstore is https://bookshop.swin.edu.au/
Semester 1 ( 9 am – 5 pm unless otherwise indicated)
- Structural Equation Modelling (Presenter: Arda Cunningham: 10-12 February in BA601)
- Introduction to SPSS (Presenter: Debbie Voogd: 14-15 March in BA603and 2nd May in BA603). Please purchase the following notes from the bookstore and complete the reading for sections 1.1 and 1.2 before the short course.( SPSS for Windows Version 17 for 14-15 March, HMS772 Further SPSS for Windows for 2nd May).
- Research Design (Presenters: Helen Bartley and Jahar Bhowmik: 21 March (9am - 5pm), 22 March (9am - 1pm) and 9th May). Please purchase the following notes from the bookstore and complete the reading for Topics 1-3 before the short course. (HMS773 Survey Research Practice).
- Basic Statistics (Presenter: Imma Guarnieri: 28-29 March in BA603 and 3rd May in BA603). Please purchase the following notes from the bookstore and complete the reading for Sections 1 and 2 before the short course.(Introduction to Statistics Part A- HMS770, Introduction to Statistics Part B- HMS770)
- General Statistics (Presenter: Imma Guarnieri: 4-5 April in BA603 and 9th May in BA603). Please purchase the following notes from the bookstore and complete the reading for Topics 3 and 4 before the short course. (HMS771 Analysis of Variance, HMS771 Statistical Practice 2)
- Rasch Modelling (Presenter: Julie Pallant: 28th-29th March 10 am – 4:30 pm in BA404)
- Other short courses on topics such as factor analysis, hierarchical regression, logistic regression, MANOVA, discriminant analysis, scale development, loglinear modelling, multi-level linear models, survival analysis will be offered on various weeknights. See Appendix 1 below.
Semester 2 (9 am – 5 pm unless otherwise indicated)
- Introduction to SPSS (Presenter: Debbie Voogd: 12-13 September in BA603 and 7th November in BA601). Please purchase the following notes from the bookstore and complete the reading for sections 1.1 and 1.2 before the short course.( SPSS for Windows Version 17 for 12-13 September, HMS772 Further SPSS for Windows for 7th November).
- Research Design (Presenters: Helen Bartley and Jahar Bhowmik: 19-20 September in BA603 and 14 th November in EN409). Please purchase the following notes from the bookstore and complete the reading for Topics 1-3 before the short course. (HMS773 Survey Research Practice).
- Basic Statistics (Presenter: Imma Guarnieri: 26-27 September in BA603 and 8 th November in BA601). Please purchase the following notes from the bookstore and complete the reading for Sections 1 and 2 before the short course.(Introduction to Statistics Part A- HMS770, Introduction to Statistics Part B- HMS770)
- General Statistics (Presenter: Imma Guarnieri: 3-4 October in BA603 and 15 th November in EN409). Please purchase the following notes from the bookstore and complete the reading for Topics 3 and 4 before the short course. (HMS771 Analysis of Variance, HMS771 Statistical Practice 2)
- Other short courses on topics such as factor analysis, hierarchical regression, logistic regression, MANOVA, discriminant analysis, data mining, cluster analysis, conjoint analysis, correspondence analysis and multidimensional scaling will be offered on various weeknights. See Appendix 2
Appendix 1: Additional Short Courses Semester 1
(Evening Lectures usually 6 pm-9 pm )
Short Course Topic |
Presenter |
Dates |
Venue |
Factor Analysis MANOVA Discriminant analysis, Binary Logistic Regression Muliple Regression Extensions and the General Linear Model Generalised Linear Models and Loglinear analysis Advanced logistic regression Multi-level linear models Survival analysis Scale development |
A Stephenson A Stephenson A Stephenson
D Meyer D Meyer D Meyer D Meyer L Busija |
Mon 27/4,4/5, 11/5 Mon 18/5, 25/5
Mon 23/3 and 30/3 Mon 6/4 and 20/4 Mon 27/4 and 4/5 Mon 11/5, 25/5 Tues 2/3, 9/3, 16/3, 23/3 |
477B-BW102 477B-BW102 477B-BW102
AS405 AS405 AS405 AS405 BA709 |
Appendix 2: Additional Short Courses Semester 2
(Evening Lectures usually 6pm-9pm )
Short Course Topic |
Presenter |
Dates |
Venue |
Factor Analysis MANOVA Discriminant analysis, Binary Logistic Regression Data Mining Statistical Tools for Marketing Structural Equation Modelling |
A Stephenson A Stephenson A Stephenson
B Phillips D Meyer |
Thursday 10/9, 17/9, 1/10 Thursday 8/10, 15/10, 22/10 Thursday 29/10, 5/11
|
BA505 BA505 BA505
BA510 BA510 |
Other courses may be offered on demand.
To apply, see Application Form Below
or contact:
Dr Denny Meyer
email:dmeyer@swin.edu.au
Statistics
FLSS
Internal Mail Number H24
Swinburne University of Technology
PO Box 218
Hawthorn, Victoria 3122
Ph (03) 9214 4824
Fax (03) 9819 0821
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Costs
2009 Cost Structure - unless otherwise stated (Prices include GST)
One Day Courses (Two sessions)
Full Time Research students $295
Academic price $430
Non-Academic price $570
Two Day Courses (Four sessions)
Full Time Research students $490
Academic price $765
Non-Academic price $990
Three Day Courses (Six sessions)
Full Time Research students $690
Academic price $1050
Non-Academic price $1390
Application Forms
-
Current Students in Life and Social Sciences (PDF format)
You are currently enrolled in an FLSS program -
Other Potential Students (PDF format)
You are not currently enrolled in a Faculty of Life and Social Sciences program.
Location: All courses are taken at the Hawthorn Campus unless otherwise stated
