Epidemiology Courses Taught by Staff

EPID299: Independent Research for Undergraduates

  • Graduate level
  • Fall, Winter term(s)
  • 1-3 Credit Hour(s)
  • Instructor(s): Staff
  • Last offered Winter 2015
  • Prerequisites: Perm. Instr.
  • Description: Students do an independent microbiology research project under the supervision of afaculty member in the Hospital and Molecular Epidemiology program.
  • Course Goals: To teach students how to carry out scientific research in microbiology.
  • Competencies: Students are judged in how well they carry out their research projects, the effort they put into the process, and their grasp of the larger research goals.
  • Learning Objectives: Students learn both specific laboratory techniques and in general how to carryout independent research.

EPID399: Independent Research for Undergraduates

  • Graduate level
  • Fall, Winter term(s)
  • 1-3 Credit Hour(s)
  • Instructor(s): Staff
  • Last offered Winter 2015
  • Prerequisites: Perm. Instr. and at least Junior status
  • Description: Students do an independent microbiology research project under the supervision of a faculty member in the Hospital & Molecular Epidemiology program.

EPID546: Advanced Virology

  • Graduate level
  • Fall, Winter term(s)
  • 2-6 Credit Hour(s)
  • Instructor(s): Staff
  • Last offered Winter 2016
  • Prerequisites: EPID 543 and EPID 545
  • Description: Advanced laboratory studies of viruses and virus diseases with emphasis upon the application of procedures to investigation. May be elected more than once.

EPID562: Advanced Bacteriology Laboratory

  • Graduate level
  • Fall, Winter, Spring, Summer term(s)
  • 2-6 Credit Hour(s)
  • Instructor(s): Staff
  • Last offered Winter 2016
  • Prerequisites: EPID 560 and EPID 561 or Perm. Instr.I
  • Description: Individual laboratory studies of selected topics on bacteria of public health importance. May be elected more than once.

EPID565: Research in Hospital and Molecular Epidemiology

  • Graduate level
  • Fall, Winter, Spring, Summer term(s)
  • 1-6 Credit Hour(s)
  • Instructor(s): Staff
  • Offered every year
  • Last offered Winter 2016
  • Prerequisites: Perm. Instr.
  • Description: Investigation of a selected problem planned and carried out by each student. Pertinent literature, investigational approaches, and progress in the investigations are discussed in seminars. May be taken more than once for up to six credits. Usually taken first for one credit. This is the Capstone Course for Hospital and Molecular Epidemiology Students.

EPID578: Practical Projects in Epidemiology

  • Graduate level
  • Fall, Winter term(s)
  • 1 Credit Hour(s)
  • Instructor(s): Staff
  • Last offered Fall 2016
  • Description: A period of elective (i.e., non-required) practical projects for international students in Epidemiology. Students work for at least eight weeks in an approved agency. Course requirements include this approved practical work experience related to the student's field of study plus prior and concurrent consultation with the student's faculty advisor. Restricted to Epidemiology majors with at least two full consecutive terms of enrollment.

EPID604: Applications of Epidemiology

  • Graduate level
  • Fall, Winter, Spring, Spring-Summer, Summer term(s)
  • 1-4 Credit Hour(s)
  • Instructor(s): Staff
  • Prerequisites: Instructor Permission
  • Description: Application of epidemiological methods and concepts to analysis of data from epidemiological, clinical or laboratory studies. Introduction to independent research and scientific writing under faculty guidance.
  • Syllabus for EPID604

EPID624: Readings in Epidemiology

  • Graduate level
  • Fall, Winter, Spring, Summer term(s)
  • 1-2 Credit Hour(s)
  • Instructor(s): Staff
  • Last offered Winter 2016
  • Prerequisites: Perm. Instr.
  • Description: Review of literature on selected subjects under guidance of individual faculty members and through scheduled seminars at which reports are presented. May be elected more than once.

EPID651: Epidemiology and Public Health Management of Disasters

  • Graduate level
  • Fall, Winter term(s)
  • 3 Credit Hour(s)
  • Instructor(s): Staff
  • Last offered Winter 2013
  • Not offered 2018-2019
  • Description: Introduction to the evolving role of public health and epidemiology in disaster preparedness and response. It uses epidemiological principles to develop skills relevant to disaster preparedness, planning and relief/recovery efforts. Students acquire skills to assess risk and evaluate impacts after disasters, and work on a local health department preparedness project.

EPID702: Bayesian Perspectives in Epidemiology

  • Graduate level
  • Summer term(s)
  • 1 Credit Hour(s)
  • Instructor(s): Staff; Little, Roderick;
  • Last offered Summer 2016
  • Prerequisites: courses in basic statistics and standard regression
  • Description: This course provides an introduction to Bayesian methods in epidemiology. Topics include: contrasting the Bayesian and classical approaches to hypothesis testing and interval estimation; strengths and weaknesses of the two paradigms, and when they give similar and dissimilar answers; objective and subjective Bayes; calibrated Bayes, a conceptual approach that combines Bayesian and frequentist ideas; computational tools, including Markov Chain Monte Carlo. the Bayesian approach to some important problems in epidemiology: contingency tables, diagnostic testing, comparison of means, regression, hierarchical models, measurement error, and analysis of data from common study designs.
  • Course Goals: The Bayesian approach to some important problems in epidemiology: contingency tables, diagnostic testing, comparison of means, regression, hierarchical models, measurement error, and analysis of data from common study designs.

EPID708: Machine Learning for Epidemiologic Analysis in the Era of Big Data

  • Graduate level
  • Summer term(s)
  • 1 Credit Hour(s)
  • Instructor(s): Staff
  • Last offered Summer 2016
  • Description: Course focuses on advances in machine learning and its application to causal inference and prediction via Targeted Learning, which allows the use of machine learning algorithms for prediction and estimating so-called causal parameters, such as average treatment effects, optimal treatment regimes, etc. We will discuss implementation via cloud computing.
  • Course Goals: -A basic understanding of causal inference, including structural causal models, definition of causal parameters via counterfactual distributions, and ways to establish identifiability from observed data. -Familiarity and ability to implement machine learning, specifically the concepts of SuperLearning and the power of cross-validation in data-adaptive estimation. -Ability to apply machine learning algorithms to prediction problems and estimate and derive inference for the resulting fit. -Ability to use the fits of machine learning algorithms to estimate causal effects using simple substitution estimators. -Ability to apply Targeted Learning approaches (e.g., targeted maximum likelihood estimation) to estimate, using machine learning, a priori specified treatment effects as well as general variable importance measures. -A basic understanding of how to use parallel computing and large computer clusters to be able to estimate using computer intensive algorithms on large (Big Data) data sets. -How the general methodology applies to goals of Precision Medicine.
  • Competencies: -Ability to apply estimation roadmap to novel data questions. -Ability to implement estimation via R and existing software packages. -Basic knowledge of how to use such algorithms on Big Data including the use of cloud computing.

EPID719: Quantitative Methods in Genetic Epidemiology

  • Graduate level
  • Summer term(s)
  • 1 Credit Hour(s)
  • Instructor(s): Ruiz-Narvaez, Edward; Staff;
  • Prerequisites: EPID 701 or EPID 503 or EPID 600 or EPID 601 AND EPID 709 or BIOSTAT 501 or BIOSTAT 521
  • Description: This course familiarizes students with methods and principles of genetic and epigenetic epidemiology. The course integrates concepts in human genetics, population genetics, epidemiology and biostatistics. The course will emphasize applications of existing methods. Topics to be included are population genetics, gene-environment interaction, genetic and epigenetic association studies, and social epigenomics.

EPID722: Medical Product Epidemiology and Global Regulation

  • Graduate level
  • Summer term(s)
  • 1 Credit Hour(s)
  • Instructor(s): Staff
  • Description: This course addresses the use and effects of medical products -These products are regulated worldwide. These regulatory requirements have stimulated the need for data and varied studies on very large populations to establish the safety of the products and the concomitant conditions that help determine their safety and effectiveness.

EPID743: Applied Linear Regression

  • Graduate level
  • Summer term(s)
  • 1 Credit Hour(s)
  • Instructor(s): Staff
  • Last offered Summer 2016
  • Prerequisites: Intro Epidemiology and Biostatistics and Perm. Instr
  • Description: This course is an introduction to the most powerful analysis technique in statistics: linear regression. This course discusses the applications of linear regression models to medical research and public health data. We will focus on the two major goals of linear models: (1) Explanation: the estimation of associations, and (2) Prediction: the use of models to predict subject outcomes, as with diagnostic tests. Specific topics include graphical exploratory data analysis, assumptions behind simple and multiple linear regression, use of categorical explanatory variables, identification of appropriate transformations of explanatory and/or outcome variables, assessment of predictor/outcome associations through hypothesis testing, identification of confounding and effect modification, assessment of model fit, and model selection techniques.

EPID780: APPLIED EPIDEMIOLOGIC ANALYSIS FOR CAUSAL INFERENCE

  • Graduate level
  • Summer term(s)
  • 1 Credit Hour(s)
  • Instructor(s): Staff
  • Prerequisites: EPID 701 or EPID 503 or EPID 600 or EPID 601 AND EPID 709 or BIOSTAT 501 or BIOSTAT 521
  • Description: This course focuses on regression models of potential outcomes for the estimation of causal parameters in epidemiologic research. Emphasis is on understanding the causal models, generating analysis with software code, and interpreting the resulting estimates.

EPID793: Complex Systems Modeling for Public Health Research

  • Graduate level
  • Summer term(s)
  • 2 Credit Hour(s)
  • Instructor(s): Staff
  • Last offered Summer 2016
  • Prerequisites: None
  • Description: This course will provide an introduction to two major complex systems science modeling techniques with wide applicability to public health. We will cover an introductory overview of complex systems modeling in general, and systems dynamics and agent-based modeling in particular. We will discuss model applications, best practices, and more advanced practical topics such as team-building, computation, funding, and publication. We will provide extensive hands-on lab experience during each section of the course. At the completion of the course the student will be able to explain current and potential future roles of complex systems science in public health, describe the respective advantages/disadvantages of each method covered, and will be expected to produce a draft proposal for applying one of the two system science methods to a particular problem. Students will become informed consumers of complex systems research, will be prepared to actively participate in interdisciplinary teams using the modeling techniques, and will be well positioned to incorporate systems science methods into their own research. Prerequisite: Relevant background in public health.

EPID799: Qualitative Methods for Epidemiology

  • Graduate level
  • Summer term(s)
  • 1 Credit Hour(s)
  • Instructor(s): Staff
  • Last offered Summer 2016
  • Prerequisites: none
  • Description: This course provides an overview of qualitative research methods that can complement and enhance epidemiologic studies. It is useful for epidemiologists interested in understanding the social, cultural and behavioral aspects of public health issues within communities. Students will learn how to integrate qualitative methods into epidemiology research and how to select appropriate qualitative methods. Sessions will cover: principles of qualitative research, study design, participant recruitment, data collection methods (interviews, group discussion, and observation), writing and presenting qualitative research and assessing research quality. The course uses participatory learning activities to build core skills. The course is valuable for public health professionals, staff at government and non-government agencies focusing on health and disease, graduate students and researchers. Skills learnt in this course will be valuable for conducting epidemiology research and evaluating qualitative research components in funding proposals, projects and publications.
  • Course Goals: Students will learn how to integrate qualitative methods into epidemiology research and how to select appropriate qualitative methods. Sessions will cover: principles of qualitative research, study design, participant recruitment, data collection methods (interviews, group discussion, and observation), writing and presenting qualitative research and assessing research quality. The course uses participatory learning activities to build core skills.
  • Competencies: Students will learn how to integrate qualitative methods into epidemiology research and how to select appropriate qualitative methods. Sessions will cover: principles of qualitative research, study design, participant recruitment, data collection methods (interviews, group discussion, and observation), writing and presenting qualitative research and assessing research quality. The course uses participatory learning activities to build core skills.

EPID814: Topics in epidemiologic analysis

  • Graduate level
  • Winter term(s)
  • 3 Credit Hour(s)
  • Instructor(s): Staff
  • Offered every year
  • Last offered Winter 2012
  • Not offered 2018-2019
  • Prerequisites: EPID601 BIOS560
  • Description: This pilot course will focus on selected theoretical and methodologic issues related to the analysis of epidemiologic data with the purpose of drawing causal inference. The topics covered will include long-standing fundamental issues as well as new techniques or novel epidemiologic applications of methods used in other disciplines. The course will consist of 14 three hour sessions. Each session will include a brief didactic presentation of the key issues for the session by the instructor followed by a structured small group and class discussion of a selected reading or readings.

EPID891: Advanced Readings in Epidemiology

  • Graduate level
  • Fall, Winter, Spring, Summer term(s)
  • 2 Credit Hour(s)
  • Instructor(s): Staff
  • Last offered Winter 2015
  • Prerequisites: Perm. Instr.
  • Description: Students will review assigned readings on the epidemiology or natural history of specific infections or chronic diseases or on host or environmental factors associated with disease, or on epidemiological methods and their application. May be elected more than once

EPID970: Pre-candidacy research in Epidemiology

  • Graduate level
  • Fall, Winter, Spring, Spring-Summer, Summer term(s)
  • 1-8 Credit Hour(s)
  • Instructor(s): Staff
  • Last offered Winter 2015
  • Prerequisites: Doctoral Student in Epidemiology Standing
  • Description: Original investigations in the various fields of Epidemiology as part of the student's preparation for their dissertation research and writing.

EPID990: Dissertation Research/Pre-Candidate

  • Graduate level
  • Fall, Winter, Spring, Summer term(s)
  • 1-8 Credit Hour(s)
  • Instructor(s): Staff
  • Last offered Winter 2015
  • Description: For students who have NOT reached candidacy yet.

EPID995: Dissertation Research/Candidate

  • Graduate level
  • Fall, Winter, Spring, Summer term(s)
  • 8 Credit Hour(s)
  • Instructor(s): Staff
  • Last offered Winter 2015
  • Description: Election for dissertation work by doctoral student who has been admitted to status as a candidate

PUBHLTH615: Public Health in Action: National

  • Graduate level
  • Winter term(s)
  • 2 Credit Hour(s)
  • Instructor(s): Staff
  • Prerequisites: Permission of Instructor
  • Undergraduates are allowed to enroll in this course.
  • Description: An intensive course to prepare students for a culminating week-long practice-based experience designed to address existing and emerging public health priorities as defined by the respective communities and their academic partners. Students will be engaged directly with communities and exposed to the contextual, cultural, political and economic factors impacting health.
  • Course Goals: Course Goal: To provide an action-based experience for public health graduate students to address 'real time' public health issues in vulnerable communities. Course Objectives: 1.Provide students with the opportunity to develop and apply theoretical and practical skills to current public health issues impacting the well being of communities. 2.Actively engage and immerse students as partners in surfacing information, data and solutions in response to the today's public health challenges. 3.Strengthen student understanding of how public health science and practice can be used to meaningfully address complex population health issues in communities. 4.Develop skills in working with and in diverse communities.
  • Competencies: SPH Cross-Cutting Competencies: -Describe the role of structural inequality in producing health disparities -Demonstrate effective written and oral skills for communicating with different audiences in the context of professional public health activities. -Demonstrate team building, negotiation and conflict management skills. -Appreciate the importance of working collaboratively with diverse communities and constituencies (e.g. researchers, practitioners, agencies and organizations). Core Competencies, Academic Public Health Linkages: 1A1. Identifies the health status of populations and their related determinants of health and illness (e.g., factors contributing to health promotion and disease prevention, the quality, availability and use of health services). 1A2. Describes the characteristics of a population-based health problem (e.g., equity, social determinants, environment) 4A2. Recognizes the role of cultural, social, and behavioral factors in the accessibility, availability, acceptability and delivery of public health services 4A2. Recognizes the role of cultural, social, and behavioral factors in the accessibility, availability, acceptability and delivery of public health services 3A2. Communicates in writing and orally, in person, and through electronic means, with linguistic and cultural proficiency 3A3. Solicits community-based input from individuals and organizations 2A4. Gathers information that will inform policy decisions (e.g., health, fiscal, administrative, legal, ethical, social, political) 3A2. Communicates in writing and orally, in person, and through electronic means, with linguistic and cultural proficiency 3A2. Communicates in writing and orally, in person, and through electronic means, with linguistic and cultural proficiency 5A1. Recognizes community linkages and relationships among multiple factors (or determinants) affecting health (e.g., The Socio-Ecological Model) 8A1. Incorporates ethical standards of practice as the basis of all interactions with organizations, communities, and individuals