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Short courses

Looking to advance your career, learn something new or update/refresh your skills in epidemiology and data analysis then consider a short course at the EpiCentre.

  Courses registration open :

    Note : Registrations close 7 days before the course commences.

Introduction to working with data (30 March to 1 April 2020– 3 days) 

What you will learn  
Students will learn the basics needed to start working with quantitative data, from setting up a database to describing and visualizing data, probability distributions and the principles of hypothesis testing. This course includes an introduction to R.

Assumed knowledge 
The course assumes no prior knowledge.

Instructors 
Emilie Vallee, Naomi Cogger and Chris Compton

Cost 

  • Massey University School of Veterinary Science staff and students with a supervisor in SoVS: FREE
  • Other Massey University staff and students: $200
  • Regular $860 GST inclusive

Inclusions 
3 days tuition, course material

Introduction to statistical inference (2 to 6 April 2020 – 3 days)

What you will learn 
Students will learn the foundations of statistical inference, including how to test for differences for continuous and proportion data using parametric or non-parametric tests, how to calculate a confidence interval and how to calculate a sample size. This course includes an introduction to R.

Assumed knowledge 
The course assumes basic knowledge of probability distributions and principles of hypothesis testing. If you do not have the prior learning we recommend completing the “Introduction to working with data” course. If this is not an option please contact us so we can discuss options for gaining access to self-directed learning modules.

Instructors 
Emilie Vallee and Chris Compton

Cost 

  • Massey University School of Veterinary Science staff and students with a supervisor in SoVS: FREE 
  • Other Massey University staff and students: $200 
  • Regular $860 GST inclusive

Inclusions 

3 days tuition, course material.

Introduction to ANOVA (9 April 2020 – 1 day)

What you will learn  
Students will learn how to conduct one-way and two-way-ANOVA.

Assumed knowledge 
The course assumes that you are able to complete exploratory data analysis in R. If you do not have the prior learning we recommend completing the “Introduction to working with data” and “Introduction to statistical inference” courses. If this is not an option please contact us so we can discuss options for gaining access to self-directed learning modules.

Instructors 
Emilie Vallee.

Cost 

  • Massey University School of Veterinary Science staff and students with a supervisor in SoVS: FREE
  • Other Massey University staff and students: $50
  • Regular $60 GST inclusive

Inclusions  
1 day tuition, course material.

Linear regression (2 to 5 June 2020 – 3.5 days)

What you will learn 
Students will learn how to build, interpret and assess an linear regression.

Assumed knowledge 
The course assumes that you are able to complete exploratory data analysis in R. If you do not have these skills we strongly recommend you complete “Introduction to working with data” and “Introduction to statistical inference”. If this is not an option please contact us so we can discuss options for gaining access to self-directed learning modules.

Instructors 
Naomi Cogger

Cost 

  • Massey University School of Veterinary Science staff and students with a supervisor in SoVS: FREE
  • Other Massey University staff and students: $225
  • Regular $880 GST inclusive

Inclusions 
3.5 days tuition, course material.

Logistic regression (8 to 11 June 2020 – 3.5 days)

What you will learn  
Students will learn how to build, interpret and assess a Mantel-Haenszel test and a logistic regression.

Assumed knowledge 
The course assumes that you are able to complete exploratory data analysis in R. If you do not have these skills we strongly recommend you complete “Introduction to working with data” and “Introduction to statistical inference”. If this is not an option please contact us so we can discuss options for gaining access to self-directed learning modules.

Instructors 
Chris Compton and Emilie Vallee

Cost 

  • Massey University School of Veterinary Science staff and students with a supervisor in SoVS: FREE
  • Other Massey University staff and students: $225
  • Regular $880 GST inclusive

Inclusions  
3.5 days tuition, course material.

Introduction to analysis of temporal and time-series data (29 June to 1 July 2020 - 3 days)

What you will learn  
Practitioners and scientists often need to understand patterns over time of health and productivity in animals when they investigate outbreaks of disease or reduced production. Students will learn in this course how to use open source software to visualise and describe temporal patterns of health or production data, conduct appropriate statistical analyses to explore or describe any temporal clustering, and to generate hypotheses regarding disease risk given the observed temporal patterns. Students will also practice how to effectively communicate their findings to other researchers, veterinarians and policy-makers.

Assumed knowledge 
Students will be expected to have a working knowledge on the use of R statistical software and its user interface, R Studio. Students without this knowledge should contact the instructors well in advance of the short course to discuss use of introductory R teaching material.

Instructors 
Dr. Emilie Vallee

Cost 

  • Massey University School of Veterinary Science staff and students with a supervisor in SoVS: FREE*
  • Other Massey University staff and students: $200
  • Regular $860 GST inclusive

Inclusions  
3 days tuition, course material

Introduction to visualising spatial data (2 to 3 July 2020 - 2 days)

What you will learn  
Students will learn how to generate static and interactive maps of animal or public health data using open source software “QGIS” and “R” that effectively communicate spatial patterns of health or productivity to researchers, veterinarians and policy-makers. This short course will prepare participants for the companion course “Introduction to spatial and spatio-temporal data analysis” which immediately follows this offering.

Assumed knowledge 
Students who will be continuing on the companion course “Introduction to spatial and spatio-temporal data analysis” which immediately follows this offering will be expected to have a working knowledge on the use of R statistical software and its user interface, R Studio. Students without this knowledge should contact the instructors well in advance of the short course to discuss use of introductory R teaching material. Students who enrol for this short course only can optionally learn mapping skills in R, and therefore are not expected to have a working knowledge on the use of R statistical software and R Studio.

Instructors 
Chris Compton, John Lowry

Cost 

  • Massey University School of Veterinary Science staff and students with a supervisor in SoVS: FREE*
  • Other Massey University staff and students: $140
  • Regular $575 GST inclusive

Inclusions  
2 days tuition, course material

Introduction to spatial and spatio-temporal data analysis (6 to 10 July 2020 - 5 days)

What you will learn  
Students will learn introductory statistical methods on how to describe spatial and spatio-temporal patterns in health and production data and to how to investigate any clustering of them in space or space-time. A further learning goal is to be able to generate hypotheses regarding disease risk given observed patterns in their data and how to effectively communicate their findings to researchers, veterinarians and policy-makers.

Assumed knowledge 
Students will be expected to have a working knowledge on the use of R statistical software and its user interface, R Studio. Students without this knowledge should contact the instructors well in advance of the short course to discuss use of introductory R teaching material.

Instructors 
Chris Compton, John Lowry, Art Subharat

Cost 

  • Massey University School of Veterinary Science staff and students with a supervisor in SoVS: FREE*
  • Other Massey University staff and students: $350
  • Regular $1435 GST inclusive

Inclusions  
5 days tuition, course material

Decision-making with animal health data (31 August to 4 September 2020 - 5 days)

What you will learn  
Students will learn how to utilise health, production and financial data from farms to aid decision-making for the control of animal diseases and improvement of animal production. The focus will be on applying the principles of disease and production monitoring, information management and decision-making processes at farm level in a practical way.

Assumed knowledge 
Students will be expected to have a working knowledge on the use of spreadsheets (such as Google Sheets or Microsoft Excel), including knowledge about data types, and the use of functions and pivot tables. Students without this knowledge should contact the instructors well in advance of the short course to arrange access to introductory courses to learn these skills.

Instructors 
Chris Compton

Cost 

  • Massey University School of Veterinary Science staff and students with a supervisor in SoVS: FREE*
  • Other Massey University staff and students: $350
  • Regular $1435 GST inclusive

Inclusions  
5 days tuition, course material


Upcoming courses :

  • TBA

* School of Veterinary Science post-graduate students and staff may enrol in EpiCentre short courses for free, but we require each registrant's PR or RM account number to secure their place.

EpiCentre teaching staff expect that SoVS students and staff who enrol for this short course will make a serious commitment to it, evidenced by fully participating in all the teaching sessions and activities. Absence by a registered student from any of the teaching sessions or non-participation in any of the activities without prior discussion and agreement with the course coordinator will result in a debit from the registrant's PR or RM account equal to the fees for a non-School of Veterinary Science Massey student.

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