Men's Hockey game vs. ACA 7 pm

Men's Hockey vs. DAL 7 pm

President-Designate Alaa Abd-El-Aziz and his family will be at McMillan Hall in the W. A.Murphy Centre for a Hot Chocolate Social to meet Students, Faculty and Staff.

Instructors: Dirk Pfeiffer, Dr Med Vet MACVSc PhD DipECVPH Professor of Veterinary Epidemiology The Royal Veterinary College University of London and Javier Sanchez, DVM PhD CFIA Research Chair- Risk Analysis Canadian Regulatory Veterinary Epidemiology Network CRVE Net Atlantic Veterinary College Course Content: The goal of this course is provide a practical guide for handling spatial data using open-source software. At the end of the course the participants should have developed a set of skills to manipulate spatial information. Although limited, the participants will be provided with basic concepts of geographical information systems and spatial epidemiology such as spatial data representation, different types of spatial information, and a short introduction to spatial data analysis. The course will focus on the practical aspects of data management, data processing and data visualization of the main types of spatial data: point patterns, aggregated and continuous spatial data using open source software. The main software used will be Quantum GIS, including some of its main add-in applications. Where appropriate, other open-source tools will be briefly introduced. Participants are encouraged to bring their own data so that they have an opportunity to practice some of the concepts covered in the course with their own data.

Instructors: Ian Dohoo, DVM PhD FCAHS Professor-Epidemiology Director, Centre for Veterinary Epidemiological Research Department of Health Management Atlantic Veterinary College and Henrik Stryhn, PhD MSc Associate Professor in Biostatistics Department of Health Management Atlantic Veterinary College Course Content: This course is designed to provide participants with the knowledge and skills required to successfully fit multilevel models to both continuous data (linear models) and discrete data (emphasis on logistic and Poisson models). The presentation of theoretical background material is limited to that which is required for a reasonable understanding of the methods employed. Specific topics covered in the course include: introduction to multilevel/hierarchical data, mixed models for continuous data, mixed models for discrete data, model evaluation (diagnostics), analysis of repeated measures and alternative approaches to dealing with clustered data (including Bayesian methods). The main software used for the instruction is MLwiN, but code for fitting models in additional software packages (including Stata) will also be provided. Participants are encouraged to bring their own data to the course and will be provided with time and assistance to analyze those data.

W-Hockey game vs. MTA 2:30 pm

Men's and Women's Basketball teams host Dalhousie

Men's and Women's team host SMU

SPEAKER: Rebecca Pike, Department of Biomedical Sciences TITLE: Analysis of the Diversity and Natural Products Potential of Microbes Associated with the Gorgonian, Eunicea fusca

Interested AVC students are invited to attend an information session for Volunteers for Intercultural and Definitive Adventures going to Guatemala in July 2011.