Courses

This course covers the area of gene expression, including topics in chromatin remodelling, mechanisms of transcriptional activation/repression and activation of transcription factors by extracellular signals. Prerequisites: undergraduate courses in biochemistry and molecular biology. Students may not also receive credit for GS/BIOL 5027 3.00.

This course covers the area of gene expression, including topics in chromatin remodelling, mechanisms of transcriptional activation/repression and activation of transcription factors by extracellular signals. Prerequisites: undergraduate courses in biochemistry and molecular biology. Students may not also receive credit for GS/BIOL 5027 3.00.

This course covers the area of the structure and function of nucleic acids including DNA replication, recombination and repair, DNA and RNA polymerases, telomerases, and several aspects of mRNA processing and metabolism. Prerequisites: undergraduate courses in biochemistry and molecular biology.

This course is designed for graduate students to introduce them to the process of scientific inquiry and hypothesis-based research. Students will be taught different formats of scientific writing and oral presentation.

This course is designed for graduate students to introduce them to the process of scientific inquiry and hypothesis-based research. Students will be taught different formats of scientific writing and oral presentation.

This course examines common statistical methods used in biology. Data science and statistical workflows are developed. Descriptive statistics, generalized linear models, regression, nonparametric tests, bootstrapping, randomization tests, multivariate statistics, and bioinformatic analyses may be considered. The R programming language will be used. The above description should be changed to the following... This course examines common statistical methods used in biology. Data science and statistical workflows are developed. Descriptive statistics, generalized linear models, regression, nonparametric tests, bootstrapping, randomization tests, multivariate statistics, and bioinformatic analyses may be considered. The R programming language will be used. An undergraduate course in biostatistics or statistics is required. Prerequisite: BIOL 2060 3.0 Statistics for Biologists, or equivalent

This course reviews expectations and responsibilities of graduate research in ecology and evolution. It trains students in communicating research in oral and written forms, and in the importance of understanding the deep history of ideas in their research field.

This course introduces graduate students to classical and recent literature in Ecology and Evolution, outline the current state of the field, and explain the contribution of novel experimental and empirical approaches to solving evolutionary and ecological questions. Students are also exposed to the latest methodological innovations in the field.

This course introduces graduate students to classical and recent literature in Ecology and Evolution, outline the current state of the field, and explain the contribution of novel experimental and empirical approaches to solving evolutionary and ecological questions. Students are also exposed to the latest methodological innovations in the field.

This course reviews expectations and responsibilities of graduate research in Animal Physiology. It trains students in communicating research in oral and written forms, and in the importance of understanding the deep history of ideas in their research field. This course is required for all new MSc students in the Animal Physiology stream.

This course covers advanced topics in comparative animal physiology with an emphasis on regulatory mechanisms and homeostasis. Topics include endocrinology, neurobiology, metabolism, osmotic and ionic regulation, reproduction and hi-light modern integrative physiology techniques. Examples are drawn from both vertebrate and invertebrate animals.

This course reviews fundamental concepts in motor control, and surveys the role of different cerebral cortical areas in controlling voluntary movements. Data from experimental and patient studies are used to illustrate the motor function of different brain regions.

TBA

This course covers computer programming methods that are useful in experimental psychology. The course assumes no previous programming experience, and brings students to the point where they are able to write useful programs to advance their own research. Classes are held in a computer laboratory, and each week's class consists of a lecture followed by programming practice on assigned problems. Topics include the MATLAB programming language, data files, curve fitting, Monte Carlo simulations, statistical tests, journal-quality data plots, 2D and 3D graphics (OpenGL) and interfacing to external devices.

This course will focus on molecular and cellular mechanisms underlying the structure and function of the nervous system, functional neuroanatomy, and the neurophysiology of movement. Prerequisites: undergraduate course in neuroscience or equivalent or by permission of course director

This course focuses on a systems approach to specialized circuits within the central nervous system that determine sensory, motor and cognitive systems. Permission of the course directors is required to enroll in the course.

This course focuses on a systems approach to specialized circuits within the central nervous system that determine sensory, motor and cognitive systems. Permission of the course directors is required to enroll in the course.

This course covers advanced topics in epithelial (and endothelial) physiology. An emphasis is placed on the importance of epithelial (and endothelial) transport processes to the normal physiological function of organ systems, but all aspects of epithelial (and endothelial) physiology are open for consideration. Examples will be drawn broadly from metazoans and will include both vertebrate and invertebrate organisms. Modern approaches that consider epithelial physiology are to be highlighted.

Progress in research is assessed annually as described in M.Sc. Course Requirements.

Progress in research is assessed annually as described in M.Sc. Course Requirements.

Progress in research is assessed annually as described in M.Sc. Course Requirements.

Progress in research is assessed annually as described in M.Sc. Course Requirements.

An introduction to the micro-fluidics for life science applications. This course offers a unique opportunity to all science, health and engineering students to learn the fundamental of micro-fluidic technologies for a variety of cellular and molecular applications. The coverage is both practical and in depth integrating experimental, theoretical and simulation examples.

Progress in research is assessed annually as described in Ph.D. Course Requirements

Progress in research is assessed annually as described in Ph.D. Course Requirements

Progress in research is assessed annually as described in Ph.D. Course Requirements .

Progress in research is assessed annually as described in Ph.D. Course Requirements .

Progress in research is assessed annually as described in Ph.D. Course Requirements

Progress in research is assessed annually as described in Ph.D. Course Requirements

Progress in research is assessed annually as described in Ph.D. Course Requirements

Progress in research is assessed annually as described in Ph.D. Course Requirements