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About the University of Calgary
 Graduate Studies Calendar 2023-2024 Courses of Instruction Course Descriptions B Biostatistics BIST
Biostatistics BIST
BIST 600 601 610 611 620
 
For more information about this course, see the Department of Mathematics and Statistics science.ucalgary.ca/mathematics-statistics.
 
Biostatistics 600       Research Seminar

A professional skills course, focusing on the development of technical proficiencies that are essential for students to succeed in their future careers as practicing statistician in academia, government, or industry. The emphasis is on delivering professional presentations and using modern statistical research tools. A high level of active student participation is required.
Course Hours: 1.5 units; (3S-0)
MAY BE REPEATED FOR CREDIT NOT INCLUDED IN GPA
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Biostatistics 601       Biostatistical Consulting
Content covers the responsibilities, skills, knowledge, and habits of working as a biostatistical consultant or collaborator. Topics will cover common biostatistical consulting problems as well as statistical methods, use of various statistical packages and programs and ethical aspects of consulting. Communication and problem-solving skills will be emphasized, so that students can work cooperatively with and support researchers by conveying concepts and findings in the language of the research problem.
Course Hours: 3 units; (3-0)
Prerequisite(s): Admission to a graduate program in Mathematics and Statistics
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Biostatistics 610       Fundamentals of Biostatistics and Epidemiology
Measures of disease occurrence; study design; control of extraneous factors; interaction; exposures at several discrete levels; regression models (linear, log-linear, logistic); logistic regression mode; causal inference and extraneous factors.
Course Hours: 3 units; (3-0)
Prerequisite(s): Admission to a graduate program in Mathematics and Statistics
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Biostatistics 611       Infectious Disease Modelling
Population-level ordinary differential equation models; different compartmental frameworks (SEIR, SIRS, stratified models); stochastic population-level models; Bayesian inference and computation; individual level models; spatial models; network-based models; approximate methods of inference; model-based mitigation methods; disease surveillance methods (time series; spatial models).
Course Hours: 3 units; (3-0)
Prerequisite(s): Admission to a graduate program in Mathematics and Statistics.
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Biostatistics 620       Research Project in Biostatistics
Research project in biostatistics carried out by the student under the supervision of a faculty member.

620.01 Research Project in Biostatistics I

620.02 Research Project in Biostatistics II
Course Hours: 3 units; (3-0)
Prerequisite(s): Admission to the MSc (course-based) in Mathematics and Statistics with a Specialization in Biostatistics, and agreement from a faculty member to supervise the project.
Notes: Students may complete the research project over one term or two terms. Students register in 620.01 in first term and 620.02 in second term.
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