Current Teaching
EPIB-603: Intermediate Epidemiology (4 credits, Winter Semester)
This course is focussed on applying methods/concepts learned in introductory courses in epidemiology (i.e. EPIB-601) and extending this knowledge through examples discussed in lectures and laboratory exercises using different kinds of epidemiological analyses. Course content is presented through one formal lecture and one laboratory session each week. Key epidemiological principles such as confounding, selection bias, effect modification, study design, and measurement error are addressed throughout the course in the context of each example discussed. The overall objective is to give students a chance to work with (and learn from) many different kinds of epidemiological data that may be encountered in epidemiological research and/or public health practice. A brief introduction to neural networks and deep learning methods is also provided as machine learning is increasingly used in medical/public health applications.
PPHS-529: Global Environmental Health and Burden of Disease (3 credits, Fall Semester)
This course introduces students to grand challenges in global health from environmental and occupational risks along with the multi-disciplinary methods used to identify, control, and prevent them. Students will develop knowledge and skills in core disciplines of environmental health (toxicology, exposure assessment, environmental epidemiology) and approaches to environmental risk recognition, control, and prevention in a global context. We cover a range of environmental issues, such as air pollution, pesticides and other chemicals, unsafe water and sanitation; analyze their impacts on the environment and health, including cancer, cardiovascular disease, and impaired child development; discuss emerging threats such as the impacts of climate change and urbanization on shifting disease patterns; and discuss the potential merits and problems of existing or potential interventions and policies to address them.
This course is focussed on applying methods/concepts learned in introductory courses in epidemiology (i.e. EPIB-601) and extending this knowledge through examples discussed in lectures and laboratory exercises using different kinds of epidemiological analyses. Course content is presented through one formal lecture and one laboratory session each week. Key epidemiological principles such as confounding, selection bias, effect modification, study design, and measurement error are addressed throughout the course in the context of each example discussed. The overall objective is to give students a chance to work with (and learn from) many different kinds of epidemiological data that may be encountered in epidemiological research and/or public health practice. A brief introduction to neural networks and deep learning methods is also provided as machine learning is increasingly used in medical/public health applications.
PPHS-529: Global Environmental Health and Burden of Disease (3 credits, Fall Semester)
This course introduces students to grand challenges in global health from environmental and occupational risks along with the multi-disciplinary methods used to identify, control, and prevent them. Students will develop knowledge and skills in core disciplines of environmental health (toxicology, exposure assessment, environmental epidemiology) and approaches to environmental risk recognition, control, and prevention in a global context. We cover a range of environmental issues, such as air pollution, pesticides and other chemicals, unsafe water and sanitation; analyze their impacts on the environment and health, including cancer, cardiovascular disease, and impaired child development; discuss emerging threats such as the impacts of climate change and urbanization on shifting disease patterns; and discuss the potential merits and problems of existing or potential interventions and policies to address them.
