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completed, PhD degree in an area related to the course or a Master’s degree plus extensive professional experience in an area related to the course. Teaching experience is preferred. Brief description
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- Mathematical Statistics I (0.5FCE) This course is designed for graduate students in Statistics and Biostatistics. Review of probability theory, distribution theory for normal samples, convergence of random
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estimation theory, sampling distributions, hypotheses testing, multiple regression analysis. Students will learn the tools used in economics and finance to model and address randomness and uncertainty
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& Pathobiology Campus: St. George (Downtown Toronto) Description: This course is designed to provide an introduction to Biostatistics to graduate students in the Health Sciences. It aims to focus on topics and
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on their identities, and develop critical thinking skills regarding the stories (meta-narratives) that surround us, particularly as they relate to engineering problems/ethics. This is a highly experiential course with
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credits Distribution Requirements: Humanities Estimated course enrolment: 200 Estimated TA support: 250 hours Class schedule: Tuesdays, 1:00 pm — 3:00 pm *Please note, this course is scheduled to be
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experience. It is intended to provide students with the knowledge and skills to make informed decisions regarding opportunities and challenges afforded by digital technologies. Students in this course will
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, acquisition, arrangement and description and preservation. As well there will be a brief introduction to copyright as well as the licensing and distribution ramifications of using, exhibiting, and re-purposing
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distribution; libraries and the organization of information; principles of bibliographical description; print in other formats (newspapers, magazines, advertisements, etc.); reading and readership; editorial
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strong background in marketing and strategy. Engineering background is an asset, as is previous teaching experience. •Preferred qualifications: PhD or Masters with a strong background in marketing and