The School of Epidemiology and Public Health at the University of Ottawa announces the availability of several non-credit summer courses in the science of Epidemiology and Biostatistics. These courses provide an introduction to the field and are offered in late August to address needs in three domains:
- students requiring an overview background in epidemiology or biostatistics prior to enrolling in another degree (e.g. the doctoral program in population health);
- students interested in learning about epidemiology or biostatistics before deciding if they want to embark on graduate study of the field;
- people requiring an understanding of epidemiology or biostatistics to support other work or study.
Introduction to Epidemiology
August 17-August 21, 2020
Instructors: Ellen Freeman, Deshayne Fell
Epidemiology is the study of the distribution and determinants of disease and health in a defined population. This course will provide an introduction to key epidemiological concepts and methods. The course will focus on public health epidemiology, including a stream on public health infectious disease and outbreak investigation. Core research designs will be discussed and problems related to bias and confounding will be examined. Current trends in incidence, prevention, mortality and morbidity for important diseases in Canada will be reviewed. No previous experience with epidemiology is required. Some knowledge of human health would be an advantage. This is a 5-day course (approx. 8:30-5pm).
Introduction to Biostatistics
August 24-August 28, 2020
Instructors: Marie-Hélène Roy-Gagnon
Biostatistics is a core field required for conducing health research. This course will provide the core knowledge required by students who plan to undertake further study of biostatistics or health research. The course will cover the following topics: Concepts of probability, probability distributions (binomial, Poisson and normal), Type I and Type II errors and statistical power, confidence intervals, theory and practice of estimation and hypothesis testing for proportions and means (Chi-square, z-test and t-test, correlation coefficient and simple linear regression. There are no formal pre-requisites for the course, but the students should be able to handle simple mathematical concepts of Algebra and Calculus (at the high school level). This is a 5-day course (approx. 9-5pm).