Courses Taught by Staff

BIOSTAT592: Applied Regression

• Graduate level
• Online MPH only
• This is a first year course for Online students
• Spring-Summer term(s) for online MPH students;
• 3 credit hour(s) for online MPH students;
• Instructor(s): Kelley Kidwell (Online MPH);
• Prerequisites: BIOSTAT 501, BIOSTAT 591
• Advisory Prerequisites: None
• Description: This course is designed to introduce linear regression using multiple variables to predict a continuous outcome. This course emphasizes the application of multiple linear regression to substantive public health problems focusing on interpretation and inference. We use RStudio to analyze public health datasets, evaluate regression assumptions, and assess model fit.
• Learning Objectives: 1. Explain the critical importance of evidence in advancing public health knowledge 2. Interpret results of data analysis for public health research, policy or practice

Concentration Competencies that BIOSTAT592 Allows Assessment On

Department	Program	Degree	Competency	Specific course(s) that allow assessment
Population and Health Sciences		MPH	Compare population health indicators across subpopulations, time, and data sources	PUBHLTH515, BIOSTAT592, EPID590, EPID592, EPID643, BIOSTAT595, BIOSTAT501
Population and Health Sciences		MPH	Estimate population health indicators from high quality data resources from diverse sources	PUBHLTH515, EPID643, NUTR590, BIOSTAT592, BIOSTAT501

BIOSTAT594: Applied Generalized Linear Models

• Graduate level
• Online MPH only
• This is a second year course for Online students
• Fall term(s) for online MPH students;
• 3 credit hour(s) for online MPH students;
• Instructor(s): Trivellore Raghunathan (Online MPH);
• Prerequisites: BIOSTAT501, BIOSTAT591, BIOSTAT592
• Description: This course introduces public health Master's students to generalized linear models to analyze binary, discrete, ordinal, count, survival outcomes.The primary emphasis will be interpretation, inference and hands-on data analyses. We will use R to analyze public health datasets, evaluate regression assumptions, and assess model fit.
• Learning Objectives: 1. Understand the context where non-continuous outcome data are generated, identify the most relevant aspects of these data that require modeling and formulate a scientific question in terms of one or a few model parameters 2. To develop the ability to use R to analyze public health data using GLM 3. Interpret results of data analysis for public health research, policy or practice
• This course is cross-listed with .

BIOSTAT642: Introduction to Functional MRI

• Graduate level
• Residential
• Fall term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Not offered 2026-2027
• Prerequisites: None
• Description: This course presents the basic skills to design and analyze functional magnetic resonance imaging (fMRI) experiments. We start by reviewing the basic Matlab and Unix skills necessary to manipulate image data. Next we introduce the principles of MRI and the nature of the Blood Oxygenation Level Dependent (BOLD) effect, including artifacts that corrupt the BOLD signal. We cover blocked and event-related designs, and how to optimize statistical power of design. We cover subject safety.
• Syllabus for BIOSTAT642

BIOSTAT645: Time Series Analysis with Biomedical Applications

• Graduate level
• Residential
• Fall term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Not offered 2026-2027
• Prerequisites: Biostat 602, Biostat 650 or Perm. Instr
• Description: Introduction to statistical time series analysis with an emphasis on frequency domain (spectral) methods and their applications to biomedical problems. Topics include autocorrelation, stationarity, autoregressive and moving average processes, power spectra, periodgrams, spectral estimation, linear filters, complex demodulation, autoregressive integrated moving average (ARIMA) models, cross-correlation, cross-spectra, coherence, time and frequency domain linear regression. The methods will be illustrated in applications to various areas of public health and medical research such as environmental health, electrophysiology, and endocrinology.
• Syllabus for BIOSTAT645

BIOSTAT665: Statistical Population Genetics

• Graduate level
• Residential
• Winter term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Not offered 2026-2027
• Prerequisites: None
• Description: The first half of the course concentrates on classical population genetics. We introduce topics such as Hardy-Weinberg equilibrium, models of selection for populations of infinite size and population subdivision. The second half of the course focuses on coalescent theory, covering migration, changes in population size and recombination. We provide guidelines how these models can be used in to infer population genetic parameters. Finally, some recent results and methods from the population genetic literature are discussed.
• Syllabus for BIOSTAT665

BIOSTAT840: Advanced Topics in Data Analysis

• Graduate level
• Residential
• Fall, Winter, Spring-Summer term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Not offered 2026-2027
• Prerequisites: Biostat 650 and Biostat 651
• Description: Alternate methods of data analysis useful when data do not fulfill unusual assumptions of statistical tests. Using articles from the literature, students learn methods of data analysis more robust than usual methods and how to choose among them. Focuses on comparison of groups, ANOVA and regression.

BIOSTAT845: Advanced Topics in Times Series Analysis

• Graduate level
• Residential
• Winter term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Not offered 2026-2027
• Prerequisites: Biostat 645, Stat 531 or Perm. Instr.
• Description: Advanced theory of stationary univariate and multivariate time series. Additional advanced topics such as analysis of non-stationary, non-linear, and/or categorical time series; time-frequency analysis; and statistical methods based on the wavelet transform or related transforms. Application of methods to time series data sets from health research.

BIOSTAT851: Linear Statistical Models (Stat 642)

• Graduate level
• Residential
• Fall term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Not offered 2026-2027
• Prerequisites: Biostat 602 and Biostat 651 or Perm. Instr.
• Description: Theory of multivariate normal distribution, distribution of quadratic forms, Cochran's theorem, Gauss-Markov theorem, general linear hypothesis, experimental design models, Wishart distribution.

BIOSTAT890: Multivariate Statistical Models (Stat 640)

• Graduate level
• Residential
• Winter term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Not offered 2026-2027
• Prerequisites: Math 417 and either Stat 511 or Biostat 602 and Perm. Instr.
• Description: Derivation of multivariate techniques: multivariate estimation, T, criteria for testing linear hypothesis, test for additional information, testing covariance matrices, factor analysis, growth curves and elementary time series.
• Syllabus for BIOSTAT890

BIOSTAT990: Dissertation/Pre-Candidacy

• Graduate level
• Residential
• Fall, Winter, Spring-Summer term(s) for residential students;
• 1-8 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: (1-8 Full term, 1-4 Half term)
• Description: Election for dissertation work by doctoral student not yet admitted to status as a candidate.

BIOSTAT995: Dissertation Research for Doctorate in Philosophy

• Graduate level
• Residential
• Fall, Winter, Spring-Summer term(s) for residential students;
• 1-8 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: Admission to Doctoral Program(1-8 Full term, 1-4 Half term)
• Description: Election for dissertation work by doctoral student who has been admitted to status as a candidate.

EHS572: Environmental Impact Assessment (NRE 514)

• Graduate level
• Both Residential and OJOC
• Fall term(s) for OJOC and residential students;
• 2 credit hour(s) for OJOC and residential students;
• Instructor(s): Staff
• Not offered 2026-2027
• Prerequisites: EHS 574, Grad Status
• Description: A comprehensive framework for predicting and evaluating environmental impacts is presented. The course emphasizes the theory, application, integration and evaluation of models simulating transport and fate of contaminants in air, surface and ground water, and soil. Case studies and computer exercises demonstrate contemporary exposure and health risk assessment problems.
• This course is cross-listed with NRE514 in the NRE department.
• Syllabus for EHS572

EHS578: Practical Projects

• Graduate level
• Residential
• Fall, Winter, Spring, Spring-Summer, Summer term(s) for residential students;
• 1-4 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: None
• Description: Practical Projects in the application of theory and principles of Environmental Health Sciences in public health settings. Course requirements include an approved practical work experience related to Environmental Health Sciences in consultation with a faculty advisor. May be elected more than once. Enrollment limited to Environmental Health Sciences majors with at least two full terms of prior registration.

EHS588: Environmental Law (SNRE 475)

• Graduate level
• Residential
• Winter term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Offered Every winter semester
• Last offered Winter 2024
• Prerequisites: None
• Description: Introduces students to Environmental Law and the impact of the legal process on decisions that affect the environment. Topics include common law tort actions, toxic tort actions, statutory controls of pollution and other environmentally harmful activities. Additional areas include administrative agency structure and performance, Constitutional rights to environmental quality and more.

EHS698: Research

• Graduate level
• Both Residential and OJOC
• Fall, Winter, Spring, Summer term(s) for OJOC and residential students;
• 1-6 credit hour(s) for OJOC and residential students;
• Instructor(s): Staff
• Prerequisites: Perm. Instr.
• Description: Original research investigation of a special topic in environmental health, occupational health, nutrition and/or toxicology. May be elected more than once for a maximum of six credits.

EHS699: Master's Thesis

• Graduate level
• Residential
• Fall, Winter, Spring, Summer term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: Perm of Thesis Advisor
• Description: This course shall be elected by students enrolled in Master's degree programs that require a formal written thesis as a condition of program completion. The thesis shall be defended in front of the student's thesis committee. The course grade will reflect the student's accomplishments relative to the thesis and its defense. The course is to be elected only once.

EHS796: Special Topics in Environmental Health Sciences

• Graduate level
• Residential
• Fall, Winter term(s) for residential students;
• 1-3 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: None
• Description: Lecture, seminars and readings selected on a current or emerging topic or theme in the environmental health sciences. The specific material and format will vary by semester and instructor.
• Syllabus for EHS796

Concentration Competencies that EHS796 Allows Assessment On

Department	Program	Degree	Competency	Specific course(s) that allow assessment
EHS	Environmental Health Promotion and Policy	MPH	Analyze policies addressing environmental health issues	EHS796

EHS899: Advanced Research

• Graduate level
• Residential
• Fall, Winter, Spring, Summer term(s) for residential students;
• 1-6 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: Perm. Instr.
• Description: Original investigations of a specific topic in environmental health, occupational health, nutrition and/or toxicology. Designed for doctoral students performing research prior to passing their qualifying exam. May be elected more than once.

EHS990: Dissertation/Pre-Candidacy

• Graduate level
• Residential
• Fall, Winter, Spring, Summer term(s) for residential students;
• 1-8 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: None
• Description: Election for dissertation work by doctoral students not yet admitted to status as candidate.

EHS995: Dissertation Research for Doctorate in Philosophy

• Graduate level
• Residential
• Fall, Winter, Spring, Summer term(s) for residential students;
• 8 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: None
• Description: Election for dissertation work by doctoral students who have been admitted to status as candidate.

EPID399: Independent Research for Undergraduates

• Graduate level
• Residential
• Fall, Winter term(s) for residential students;
• 1-3 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Offered Every semester
• 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.

EPID511: Introduction to Public Health Genetics

• Graduate level
• Residential
• Fall term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Offered Every Fall
• Prerequisites: Grad status or perm instructor
• Description: This course is designed for those interested in a basic understanding of human genetics who have had only a very limited exposure to biologic sciences. This course will cover the basics of genetics at both the molecular and population level. In addition to the basic science, some ethical, legal, and social implications of genetics research will be examined. Examples relevant to public health will be emphasized.
• This course is cross-listed with in the PUBHLTH 311 department.
• Syllabus for EPID511

EPID698: Ms Capstone In Epidemiology

• Graduate level
• Residential
• Fall, Winter term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Staff, Sara Adar, Ella August, Kelly Bakulski, Melissa Beck, Matthew Boulton, Andrew Brouwer, James Buskiewicz, Miatta Buxton, Carol Chenoweth, Philippa Clarke, Marisa Eisenberg, Joseph Eisenberg, Nancy Fleischer, Betsy Foxman, Aubree Gordon, Alexis Handal, Sioban Harlow, Michael Hayashi, Jennifer Head, William Herman, Kirsten Herold, Tyler James, Jihyoun Jeon, Spruha Joshi, Sharon Kardia, Carrie Karvonen-Gutierrez, Mark Katz, Devon Keen, Lindsay Kobayashi, Peter Larson, Aleda Leis, Paul Lephart, Elizabeth Levin-Sparenberg, Lynda Lisabeth, Juan Marquez, Emily Martin, Dan McConnell, Briana Mezuk, Eve Mokotoff, Alison Mondul, Arnold S Monto, Hal Morgenstern, Lewis Morgenstern, Belinda Needham, Duane Newton, Gilbert Omenn, C. Leigh Pearce, Patricia A Peyser, Laura Power, Meza Rafael, Sarah Reeves, Paul Resnick, Julia Richards, Alex Rickard, Aruna Sarma, Jennifer Smith, Evan Snitkin, Howard Stein, Michael Swain, Eduardo Villamor, Abram Wagner, Xin Wang, Douglas Wiebe, Mark L Wilson, Zhenhua Yang, Jonathan Zelner, (Residential);
• Prerequisites: Enrolled in Epidemiology MS programs
• Description: This capstone research project course is designed for Epidemiology MS students (30-credit or 48-credit CESM programs). Working with their mentor, students are expected to develop an original research project to address public health problems using epidemiologic methods. Students will have the opportunity to apply what they learned in their coursework to important public health questions. Students will work with a faculty mentor to conduct a literature review, develop a research project, develop and implement an analysis plan, write up the results and discuss the implications of the findings, and present their work in the annual Epidemiology Poster Day. Students are expected to begin their capstone project in their first term and complete it in the second term of their final year (or only, for one-year programs) of training (three credits per term, for a total of six credits). The Epidemiology Master’s committee will help students find an appropriate mentor. Details regarding the structure of capstone writing products and evaluation guidelines will be provided in the MS Student Handbook.
• Learning Objectives: The learning objectives of and skills employed in this course are determined by the specific research project. The list below (which is not exhaustive) provides examples of learning objectives for this course: 1. Assess knowledge gaps in the scientific literature; 2. Develop a scientific research question designed to address a gap in the scientific literature 3. Identify appropriate data sources to address a research question; 4. Better understand the role of data in understanding public health problems; 5. Create a data collection instrument and/or collect data; 6. Analyze data (quantitative or mixed data – including both quantitative and qualitative) to test research hypotheses relevant to public health in a manner that reflects principles of epidemiology (e.g., study design, measurement, confounding, etc); 7. Generate appropriate data visualizations and/or presentations; 8. Communicate the significance, approach, and implications of epidemiological research in a written format appropriate for the target audience; 9. Complete research ethics training through the Program for the Education and Evaluation of Responsible Research and Scholarship (PEERRS). Two modules are required: Human Subjects Research Protections and Responsible Conduct of Research and Scholarship (RCRS).
• Syllabus for EPID698

EPID706: Mixed Methods In Epidemiologic Research

• Graduate level
• Residential
• Summer term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: None
• Advisory Prerequisites: An entry-level qualitative research course or equivalent experience is helpful. In addition, an introduction to quantitative research such as a course on statistics and research design or equivalent experience is helpful.
• Undergraduates are allowed to enroll in this course.
• Description: Participants will gain knowledge of the foundations of mixed methods research, mixed methods quality criteria, major mixed methods research designs, the value added of mixed methods research, and legitimation and validation concepts. Through an interactive, problem-based approach, attendees will develop skills in designing a mixed methods study throughout the course.
• Learning Objectives: The intent of this course is to provide an overview of mixed methods research to learners who already have some familiarity with quantitative and qualitative research

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

• Graduate level
• Residential
• Summer term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: None
• Advisory Prerequisites: Introductory course in statistics as well as courses or working knowledge of basic regressions (linear, logistic, etc.). Having some background in the programming language R preferred.
• 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.

EPID712: Epidemiologic Foundations And Applications In Dental, Oral, And Craniofacial Diseases

• Graduate level
• Residential
• Summer term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: none
• Undergraduates are allowed to enroll in this course.
• Description: The course addresses the fundamentals of oral and dental epidemiology including the most common conditions such as dental caries, periodontal diseases, and head and neck cancers with emphasis on their population distribution, evolution, multilevel determinants, and contemporary methodological issues on study design, measurement, analysis, and results interpretation and communication.

EPID716: Clinical Epidemiology and Evidence-Based Decision Making

• Graduate level
• Residential
• Summer term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Offered Every Summer
• Prerequisites: Perm. Instr.
• Description: With the increasing demand for an evidence-based approach in the delivery of health care services and the economic pressures for a more rational and efficient use of limited health care resources, practitioners and administrators in the health care field need to develop clinical measurement and evaluative skills in order to conduct their work optimally. Clinical Epidemiology and Evidence-Based Decision Making identifies and teaches these skills. The course will cover the basic concepts of clinical epidemiology in the context of appraising the recent medical literature pertaining to issues of causation, diagnosis, management, and economic evaluation. The format will include problem-based learning. Course materials will be provided in advance of the sessions, and should be reviewed before the course begins in order to obtain the maximum benefit from enrollment in the course. All health professionals (clinicians and administrators) who rely on the medical literature to guide their activities are invited to attend the course. No prerequisite.

EPID717: Design and Conduct of Clinical Trials

• Graduate level
• Residential
• Summer term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Offered Every Summer
• Prerequisites: Intro Epidemiology and Perm. Instr
• Description: The theoretical and practical challenges to be considered in designing and conducting a clinical trial will be presented. Topics to be discussed include the specification of a primary objective, adherence to accepted ethical guidelines, the role of randomization and the means of its implementation, the choice of design strategy and design strengthening features, and the considerations involved in sample size determination and patient recruitment. Detailed analytic issues will be considered in the complementary one-week course that follows. No prerequisite.

EPID718: Analysis of Clinical Trials

• Graduate level
• Residential
• Summer term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Offered Every July
• Prerequisites: Intro Biostatistics and Perm. Instr.
• Undergraduates are allowed to enroll in this course.
• Description: Methods of analysis appropriate to various designs, such as cross-over designs, nested designs, factorial designs, and designs with repeated measures will be presented. The use of GLM techniques for analysis will also be illustrated. Topics will include estimation of survival functions, survival comparison between groups of subjects, identification of important covariates, adjustment for covariates, testing for interaction, and understanding the difference between confounding and interaction. Specific tools to be discussed include the Kaplan-Meier estimators, the log-rank (Mantel-Haenszel) statistics, and the Cox proportional hazards model. Instruction will focus on empirical use of methodologies rather than formal algebraic knowledge. Practical applications of manual and software-based analysis will illustrate specific procedures and interpretation of results. Students receive a disk with the data and analysis programs for all examples in the course. Students are advised to bring a scientific calculator.

EPID720: Applied Mediation Analysis

• Graduate level
• Residential
• Summer term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: none
• Description: The course will approach concepts and methods for mediation from the perspective of the counterfactual framework. Mediation analysis quantifies the extent to which the effect of an exposure on some outcome is mediated through a particular intermediate and the extent to which it is direct or through other pathways. Definitions, identification results and statistical techniques related to mediation analysis will be covered. The course will clarify the assumptions required for the estimation of direct and indirect effect and will extend the approach to mediation typically employed in epidemiology and the social sciences to settings with interactions, non-linearities, and time-varying exposures. Prerequisite: Familiarity with regression analysis and potential outcomes.
• Learning Objectives: 1.To understand the assumptions of a counterfactual frame in formulating mediation analyses questions 2.To identify different types of causal effects (e.g. total, direct, indirect) and their mathematical relations with each other 3.To correctly specify regression models in conducting mediation analyses 2.To master the use of statistical software code to conduct mediation analyses and the interpretation of output

EPID721: Applied Sensitivity Analyses In Epidemiology

• Graduate level
• Residential
• Summer term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: Introductory epidemiology. Introductory biostatistics or introduction to generalized linear models. Working knowledge of a general statistical software like SAS, Stata or R
• Advisory Prerequisites: An introductory course on causal inference (e.g. EPID 780) is highly recommended
• Description: This course introduces how to think about and conduct sensitivity analyses for uncontrolled confounding, selection bias and measurement error in epidemiologic studies. The course will demonstrate the intuition behind the separate and combined consequences of these sources of bias on estimating and inferring causal effects. It will provide practical quantitative skills for assessing the sensitivity of analytical results to these biases in order to aid credible causal modeling and inference using empirical epidemiologic studies
• Learning Objectives: 1. Learn to articulate the different of impact of uncontrolled confounding, selection bias and measurement error separately and in combination. 2. Learn to depict visually these sources of bias and understand their impact using causal diagrams. 3. Learn to conduct quantitative bias analyses including multiple-bias modeling. 4. Learn to reason about and obtain bias parameters for sensitivity analyses. 5. Learn to apply and interpret probabilistic sensitivity analyses in epidemiologic studies.

EPID722: Foundations Of Clinical Pharmacology In Pharmacoepidemiology

• Graduate level
• Residential
• Summer term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: None
• Description: This course will explore the application of principles in clinical pharmacology (mechanism of action, drug-drug interactions, pharmacokinetics, pharmacodynamics, etc.) to guide study design, interpretation, and clinical relevance for pharmacoepidemiology research.

EPID731: Analysis Of Electronic Health Record (ehr) Data

• Graduate level
• Residential
• Summer term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Staff, Xu Shi, (Residential);
• Offered Annually during Summer term
• Last offered Summer 2025
• Prerequisites: None
• Advisory Prerequisites: Quantitative training, familiarity with traditional regression methods, basic epidemiologic principles, and working knowledge of R. The course will be instructed with minimal mathematics formulas and will include comprehensive examples to facilitate a bro
• Undergraduates are allowed to enroll in this course.
• Description: To gain knowledge of the process of cleaning and abstracting EHR data to create analytic datasets, attain a broader understanding the secondary use of EHR data for research, with a focus on epidemiologic principles including the role of study design, bias, and generalizability
• Learning Objectives: This short course will offer an overview of modern analytical methods and research applications using EHR data, with a specific focus on epidemiologic inferences. Upon completion of the course, participants will i) gain knowledge of the process of cleaning and abstracting EHR data to create analytic datasets, ii) attain a broader understanding of the opportunities and challenges of the secondary use of EHR data for research, with a focus on epidemiologic principles including the role of study design, bias, and generalizability, iii) explore and gain hands-on experience using EHRs from Michigan Medicine, and iv) be prepared to generate and further explore new questions and perspectives.

EPID733: Quasi-experimental Methods In Epidemiology

• Graduate level
• Residential
• Summer term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: No
• Advisory Prerequisites: familiarity with introductory epidemiology (e.g., confounding), and introductory biostatistics (e.g., expectation, laws of probability, linear regression); and some background in either Stata or R.
• Description: The course will cover the concepts, assumptions, statistical techniques, and empirical applications of these methods in the literature. Upon completion of the course, students will be able to critique the quality of a research paper that uses these methods and be able to conduct basic analyses in Stata or R.
• Learning Objectives: Currently, the cluster on causal inference at SSE includes full courses on causal inference fundamentals, mediation analysis, sensitivity analysis, and machine learning. However, there is no systematic coverage on 1) instrumental variable analysis, 2) difference-in-differences methods, and 3) regression discontinuity design. This proposed course will fill in this gap. These tools have found

EPID734: Epidemiologic Data Collection, Management, And Harmonization

• Graduate level
• Residential
• Summer term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: None
• Advisory Prerequisites: The course does not presume any background in data collection, management or harmonization methods; however, prior experience in designing or conducting health research projects is helpful.
• Undergraduates are allowed to enroll in this course.
• Description: provide an overview of techniques for data collection, management and harmonization to learners who plan to conduct or are already engaged in health research and would like to gain familiarity with methods aimed at generating quality data for hypothesis testing and sharing purposes
• Learning Objectives: The intent of this course is to provide an overview of techniques for data collection, management and harmonization to learners who plan to conduct or are already engaged in health research and would like to gain familiarity with methods aimed at generating quality data for hypothesis testing and sharing purposes.

EPID743: Applied Linear Regression

• Graduate level
• Residential
• Summer term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• 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.

EPID745: Epidemiologic Data Visualization

• Graduate level
• Residential
• Summer term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: none
• Advisory Prerequisites: Experience with elementary statistics and statistical analysis software, ideally R
• Description: This course introduces students to the foundational principles and practical skills of data visualization, with a focus on both exploratory data analysis and enhancing the clarity and impact of statistical communication. The course emphasizes visualization as a critical tool for statistical reasoning, model interpretation, and scientific communication. Students will learn to design and evaluate visualizations that are accurate, clear, and audience-appropriate. Topics include using visualization for exploratory data analysis, common pitfalls in data presentation, best practices for visual storytelling, and the role of graphics in conveying complex analytical insights. Hands-on exercises will focus primarily on R, using ggplot2 and the tidyverse, with supplementary coverage of Python, Stata, and tools for interactive dashboards.
• Learning Objectives: -Conceptualize and implement effective data visualizations using R and ggplot2; Learn common exploratory data analysis visualizations techniques that helps analysts understand their data and its structure; Select appropriate visualization techniques based on data type, analytical goals, and audience needs; Critically evaluate data visualizations for effectiveness and accuracy; Communicate complex data insights through clear and impactful storytelling; Incorporate reproducibility and transparency into the data visualization process using modern coding practices; Address common challenges and pitfalls in data visualization, including choosing incorrect statistical transformations, misleading uses of scale and range, and poor design; Integrate visualizations into workflows for statistical modeling and applied data science.

EPID747: Successful Scientific Writing

• Graduate level
• Residential
• Summer term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Offered Every Summer
• Prerequisites: Perm. Instr.
• Description: This course takes an active, participatory approach to help public health and health care professionals learn how to communicate the findings of their research and investigations more effectively and expedite publication of their manuscripts. Working in small groups, students spend much of their class time critiquing actual published and unpublished manuscripts, including their own, and solving a wide range of exercises that exemplify the real-world challenges that authors face. Free-form in-class discussions make it possible for class members to learn from one another's experiences. Major components of the course include the following: basic sections of a scientific article: the purpose, elements and organization of each section; principles of style for writing in public health and epidemiology; systematic approaches to the process of writing and publishing an article in a peer-reviewed journal; effective strategies for dealing with requests of journal editors and reviewers.

EPID761: Social Determinants Of Population Health

• Graduate level
• Residential
• Summer term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: None
• Advisory Prerequisites: Intro Epidemiology and Biostatistics courses
• Undergraduates are allowed to enroll in this course.
• Description: Introduce how social factors affect health. Survey social determinants of health literature to provide basic substantive knowledge on differential patterns of health across individual and contextual levels. Discuss methodological approaches to systematic assessment of health disparities, conceptualizing and measuring social exposures, examining contextual factors, and estimating policy impacts.

EPID762: Analysis of Complex Sample Survey Data

• Graduate level
• Residential
• Summer term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: . A first course in survey sampling or research methods and a basic understanding of sampling concepts such as stratification, cluster sampling and weighting is required.
• Description: This course will present a practical overview of modern techniques for analyzing survey data in a way that accounts for the complex features of the sample design that gave rise to the sample of units that was ultimately surveyed

EPID777: Geographic Information Systems for Epidemiology

• Graduate level
• Residential
• Summer term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Offered Every Summer
• Prerequisites: None
• Description: Geographic Information Systems (GIS) are used for analyzing and displaying spatial data. Data from a variety of sources may be compared with overlay analysis and spatial statistics. Modern tools permit novice GIS users to perform advanced spatial analysis without extensive training. This course will introduce students to ArcView, the world's leading GIS analysis package. Examples of epidemiological applications will give students the opportunity to see and use this powerful tool. Some of the topics to be covered are data import/export, layering, table management, classification, labeling, spatial and attribute queries, buffering, and address geocoding. No prerequisite.

EPID780: Applied Epidemiologic Analysis For Causal Inference

• Graduate level
• Residential
• Summer term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: None
• Advisory Prerequisites: Students should have at least one basic epidemiology course with a working knowledge of regression and other standard statistical methodology common in basic epidemiological analysis.
• Undergraduates are allowed to enroll in this course.
• Description: This course introduces concepts and applications of potential outcomes and structural causal models for the estimation of causal parameters in epidemiologic research. The course will familiarize students with the assumptions underpinning modern causal inference methods and provide a conceptual understanding of standardization/g-computation and inverse probability weighting.

EPID787: An Introduction To Multilevel Analysis In Public Health

• Graduate level
• Residential
• Summer term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Offered Every Summer
• Prerequisites: None
• Advisory Prerequisites: Introductory course in epidemiology and an introductory course in statistics (i.e. some familiarity with regression modeling).
• Description: This short course will review the rationale for multilevel analysis in public health research, build the statistical theory and practice of these models from the fundamentals of the regression-based approaches and demonstrate a variety of different forms that the models can take, including fixed and random effects, marginal (population average) models and extensions for categorical and survival outcomes. Fitting and interpreting models will be demonstrated using Stata statistical software, and parallel code will also be provided in SAS. Special emphasis will be placed on the strengths and limitations of multilevel analyses in investigating social and group-level determinants of health, and the causal interpretations of estimated parameters.

EPID793: Complex Systems Modeling for Public Health Research

• Graduate level
• Residential
• Summer term(s) for residential students;
• 2 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• 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
• Residential
• Summer term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• 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.

EPID990: Dissertation Research/Pre-Candidate

• Graduate level
• Residential
• Fall, Winter, Spring, Summer term(s) for residential students;
• 1-8 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: None
• Description: For students who have NOT reached candidacy yet.

EPID995: Dissertation Research/Candidate

• Graduate level
• Residential
• Fall, Winter, Spring, Summer term(s) for residential students;
• 8 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: None
• Description: Election for dissertation work by doctoral student who has been admitted to status as a candidate

HBHEQ578: Practical Projects

• Graduate level
• Residential
• Fall, Winter, Spring, Spring-Summer, Summer term(s) for residential students;
• 1-3 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: None
• Description: Practical projects in the application of theory and principles of Health Behavior and Health Education to individual and community-based public health settings. Course requirements include an approved practical project related to Health Behavior and Health Education in consultation with a faculty advisor. THE EXPERIENCE IS REPORTED IN AN INTEGRATIVE PAPER DEMONSTRATING THE SCIENTIFIC APPLICATION OF HBHE THEORIES AND PRINCIPLES TO THE PRACTICAL PROJECT. May be elected more than once. Enrollment limited to Health Behavior and Health Education majors with at least two full terms of prior registration.

HBHEQ608: Integrative Seminar on Healthy Cities

• Graduate level
• Residential
• Fall term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: None
• Description: This course will fulfill the "Integrative Seminar" requirement for the Healthy Cities Graduate Certificate. The course combines public health, public policy, and built environment perspectives within one classroom. Classes are organized around guest speakers from various disciplines who will discuss the significance of interdisciplinary approaches to addressing urban health issues.
• Learning Objectives: ·Explain effects of environmental factors on a population's health. ·Explain the social, political and economic determinants of health and how they contribute to population health and health inequities.
• This course is cross-listed with URP 612 002 in the Urban Planning department.

HBHEQ625: Research in Health Behavior

• Graduate level
• Residential
• Fall, Winter, Spring, Spring-Summer, Summer term(s) for residential students;
• 1-4 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: Perm. Inst.
• Description: Individual work on a problem in the area of health behavior relevant to program effectiveness in public health, under the tutorial guidance of an appropriate staff member. Regular conferences are arranged to discuss research designs, proposed problem solutions, methods for data collection and analysis. The investigation is reported in a paper, which may be submitted for publication. May be elected more than once.

HBHEQ644: Readings in Health Behavior and Health Education

• Graduate level
• Residential
• Fall, Winter, Spring, Spring-Summer, Summer term(s) for residential students;
• 1-6 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: Perm. Instr.
• Description: Review of literature on selected topics in health behavior, health education or related areas under guidance of faculty member. Critical analysis; written and oral reports. May be taken more than once for a total not to exceed 6 credit hours.

HBHEQ900: Research in Health Behavior and Health Education

• Graduate level
• Residential
• Fall, Winter, Spring, Spring-Summer, Summer term(s) for residential students;
• 2-6 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: None
• Description: Research work undertaken by doctoral students in collaboration with faculty advisers, including participation in on-going departmental research activities. Open only to doctoral students in Health Behavior and Health Education. May be elected more than once.

HBHEQ990: Dissertation/Pre-Candidate

• Graduate level
• Residential
• Fall, Winter, Spring-Summer term(s) for residential students;
• 1-8 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: None
• Description: Half Term (IIIA or IIIB, 1-4 credits) Election for dissertation work by doctoral students in Health Behavior and Health Education who are not yet admitted to status as a candidate.

HBHEQ995: Dissertation Research for Doctorate in Philosophy

• Graduate level
• Residential
• Fall, Winter, Spring-Summer term(s) for residential students;
• 8 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: None
• Description: Half Term (IIIA or IIIB, 1-4 credits) Election for dissertation work by doctoral students admitted to status as candidate.

HMP611: Population Health Informatics

• Graduate level
• Residential
• Fall term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Offered Fall
• Last offered Fall 2023
• Prerequisites: HMP 668 / SI 542 / BIOINF 668 Introduction to Health Informatics or permission of instructor.
• Advisory Prerequisites: HMP 668 / SI 542 / BIOINF 668 Introduction to Health Informatics or permission of instructor.
• Description: This course explores the foundations of population health informatics, including information architecture; data standards and confidentiality as they pertain to population health management. This course examines key concepts related to registries, electronic health records, epidemiological databases, biosurveillance, health promotion, and quality reporting in population health management.
• This course is cross-listed with SI611.
• Syllabus for HMP611

HMP630: Business of Biology

• Graduate level
• Residential
• Fall term(s) for residential students;
• 2 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: None
• This course is cross-listed with BA 518 in the Business Administration department.

HMP635: Case Analysis & Competition Presentation

• Graduate level
• Residential
• Winter term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Staff, Denise Anthony, (Residential);
• Prerequisites: HMP 600, HMP 615
• Description: This class is designed for students willing to represent the department at the next NAHSE intercollegiate team competition. The course will develop skills at analyzing strategically oriented cases in healthcare management. In addition, students learn presentation skills in a supportive environment with feedback from peers, faculty and alumni. Students selected to compete at NAHSE and other students selected based on performance in the initial term will be invited to be facilitators in the following winter term.

HMP641: Practice For Human Resource Management For Health Care Administrators

• Graduate level
• Residential
• Winter term(s) for residential students;
• 1.5 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: HMP 600
• Advisory Prerequisites: HMP 600
• Description: This course provides students with the knowledge and skills necessary to understand the strategic role of human resources management in healthcare organizations. It explores the challenges and opportunities facing HR professionals in this field, including personnel management, employee engagement, and legal principles. Students will examine best practices for HR operations, with a focus on organizational development initiatives that enable HR to become a strategic business partner. By the end of the course, students will have a comprehensive understanding of the functional areas within HR and their contributions to a fully functional program that supports an organization's goals and objectives.
• Learning Objectives: 1. Understand the operations and strategic importance of HR in healthcare organizations, including its impact on achieving organizational goals. 2. Analyze and discuss HR issues that are likely to arise in healthcare organizations in the next 5-10 years. 3. Develop knowledge of strategic HR initiatives, including organizational and human resource assessments, development plans, recruitment, and metrics models. 4. Evaluate the role of organizational leaders and HR in shaping organizational culture and strategic HR initiatives. 5. Assess how HR contributes to the strategic and operational goals of healthcare organizations. 6. Understand the role of Strategic Human Resources Management in creating a positive work environment. 7. Develop strategies to increase the healthcare labor supply and decrease labor demand. 8. Analyze how various functions of HR, such as recruitment, selection, compensation, benefits, and training and development, impact employee performance and productivity. 9. Recognize and comply with employment laws that affect Human Resource Management in healthcare organizations. 10. Compare and contrast employee and management relations in both unionized and non-unionized environments. 11. Apply motivation theories to enhance employee engagement in healthcare organizations. 12. Design and evaluate compensation models that motivate employees and meet legal requirements. 13. Utilize Behavioral Event Interviewing techniques to improve recruitment and selection in healthcare organizations.
• Syllabus for HMP641

HMP648: Evaluation & Research Methods for Health informatics and Learning Systems

• Graduate level
• Residential
• Fall term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: none
• Description: This course provides a foundational introduction to empirical methods, both quantitative and qualitative, that are applicable to health informatics and learning health systems, and that support both evaluation and research studies.
• This course is cross-listed with HMP 648 in the LHS660/SI648 department.

HMP661: Managing Health Informatics

• Graduate level
• Residential
• Fall term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: Introduction to Health Informatics
• Description: The course will prepare students to take on management challenges faced in health informatics leadership roles within a variety of organizational settings. It will be a highly interactive course in which students will have the opportunity to apply theory when discussing real-world health informatics scenarios from a variety of perspectives.
• This course is cross-listed with SI 661.

HMP680: Special Topics in Health Management and Policy

• Graduate level
• Residential
• Fall, Winter term(s) for residential students;
• 1-3 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: none
• Description: Lecture, seminars and readings selected on a current or emerging topic or theme in health, management and policy. The specific material and format will vary by semester and instructor.

HMP681: Special Topics In Health Management And Policy

• Graduate level
• Residential
• Fall, Winter term(s) for residential students;
• 1-3 credit hour(s) for residential students;
• Instructor(s): David Mendez, Rahul Ladhania, Richard Hirth, Matthew Comstock,Staff, April Zeoli, (Residential);
• Prerequisites: None
• Undergraduates are allowed to enroll in this course.
• Description: Lecture, seminars and readings selected on a current or emerging topic or theme in health, management and policy. The specific material and format will vary by semester and instructor.
• Learning Objectives: Will vary by topic and instructor.

HMP690: Readings in Health Management and Policy

• Graduate level
• Residential
• Fall, Winter, Spring-Summer term(s) for residential students;
• 1-4 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: Grad Status and Perm Instr
• Description: Directed readings or research on selected topics and problems relevant to health management and policy. May be elected more than once.

HMP692: Case Studies in Health Management & Policy

• Graduate level
• Executive Masters
• term(s) for Executive Masters students;
• 4 credit hour(s) for Executive Masters students;
• Instructor(s): Staff (Executive Masters);
• Prerequisites: HMP 600/601
• Description: This course is a case study course for students completing the MHSA or MPH degree in the Executive Program in health management and policy. Its principal purposes are to integrate the material covered elsewhere in the curriculum and to develop the student's skills in presentation and applications.

HMP815: Readings in Medical Care

• Graduate level
• Residential
• Fall, Winter, Spring, Spring-Summer, Summer term(s) for residential students;
• 1-4 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: Perm Instr
• Description: Directed readings in special areas. May be elected more than once. Primarily for doctoral students in Health Services Organization and Policy.

HMP833: Research Topics in Sociology and Health Care Organization

• Graduate level
• Residential
• Fall, Winter term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: HMP doctoral students or P.I.
• Description: HSOP Program requirements. A topic in sociology and health care organization-policy is selected each term for detailed critical, theoretical, and methodological analysis leading to development, in class, of propositions aimed at advancing scientific status of the area of inquiry. Analysis and development of content follows logic of the research paradigm. Required of students with a sociology cognate in the doctoral program in Health Services Organization and Policy

HMP835: Research Practicum

• Graduate level
• Residential
• Fall, Winter, Spring-Summer term(s) for residential students;
• 3-6 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: HMP 809, Perm Instr
• Description: The purpose of this course is to allow each student, early in his or her doctoral career, to gain experience in the actual performance of health services research. The experience will enable students to build sound research skills and to gain knowledge of the nature of inquiry in their discipline as well as in the field of health services research. Each student in the HSOP program is expected to elect a total of 6 credits in HMP 835.

Concentration Competencies that HMP835 Allows Assessment On

Department	Program	Degree	Competency	Specific course(s) that allow assessment
HMP	Health Services Organization and Policy	PhD	Critically evaluate the prior literature in health services organization and policy, including motivation, theory, data quality, methods, results, conclusions, and policy recommendations	HMP802, HMP803, HMP804, HMP805, HMP806, HMP835
HMP	Health Services Organization and Policy	PhD	Develop research questions grounded in theory to expand knowledge about health services organization and policy	HMP802, HMP803, HMP804, HMP805, HMP806, HMP835
HMP	Health Services Organization and Policy	PhD	Create a rigorous study design to test the research questions posed and to understand the strengths and limitations of that study design	HMP826, HMP809, HMP835, HMP809
HMP	Health Services Organization and Policy	PhD	Apply advanced quantitative and/or qualitative methods appropriate for health services organization and policy research appropriately in one's own research	HMP826, HMP835
HMP	Health Services Organization and Policy	PhD	Disseminate rigorous research findings through clear, persuasive written and oral communication to both peers and non-technical audiences.	HMP826, HMP835

HMP990: Dissertation/Precandidates

• Graduate level
• Residential
• Fall, Winter, Spring, Spring-Summer, Summer term(s) for residential students;
• 1-8 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: None
• Description: Election for dissertation work by doctoral students not yet admitted to status as candidate.

HMP995: Dissertation Research for Doctorate in Philosophy

• Graduate level
• Residential
• Fall, Winter, Spring, Spring-Summer, Summer term(s) for residential students;
• 8 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: None
• Description: Election for dissertation work by doctoral students admitted as candidates

NUTR518: Food Literacy for All

• Graduate level
• Residential
• Winter term(s) for residential students;
• 2 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: None
• Advisory Prerequisites: None
• Undergraduates are allowed to enroll in this course.
• Description: This course offers a unique opportunity for students to gain an interdisciplinary overview of crises and opportunities in today's food system through a weekly lecture series bringing high-profile speakers to campus from diverse sectors: academia, grassroots movements, public health, farming, and more. Designed as an academic-community partnership, the course is led by a UM faculty member (Leung) with a leader in food justice in Detroit (Hebron), along with the program manager of the UM Sustainable Food Systems Initiative (Shapiro).
• Learning Objectives: 1) Describe the term "food system" and influencing factors 2) Discuss how food systems impact public and environmental health 3) Describe strategies to promote health equity within local and national food systems 4) Propose opportunities for improving the food system and the social and environmental levels
• This course is cross-listed with EAS 639 ENVIRON 314 PUBHLTH 318 (pending) in the SEAS, LSA Program in the Environment, SPH department.

NUTR578: Practical Projects

• Graduate level
• Residential
• Fall, Winter, Spring-Summer term(s) for residential students;
• 1-4 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: None
• Description: Practical Projects is the application of theory and principles of Nutritional Sciences to individual community-based public health settings. Course requirements include an approved practical project related to Nutritional Sciences in consultation with a faculty advisor. The experience is documented in an integrative paper demonstrating the scientific application of NS theories and principles to the practical project. May be elected more than once. Enrollment is limited to NS students with at least two full terms completed prior to registration.

NUTR698: Research in Nutritional Sciences

• Graduate level
• Residential
• Fall, Winter term(s) for residential students;
• 1-6 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: None
• Description: Original research investigation of a special topic in nutritional sciences.

NUTR699: Masters Thesis in Nutritional Sciences

• Graduate level
• Residential
• Fall, Winter term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: Perm of Thesis Advisor
• Description: This course shall be elected by students enrolled in Master's degree programs that require a formal written thesis as a condition of program completion. The thesis shall be defended in front of the student's thesis committee. The course grade will reflect the student's accomplishments relative to the thesis and its defense. The course is to be elected only once.

NUTR899: Advanced Research in Nutritional Sciences

• Graduate level
• Residential
• Fall, Winter term(s) for residential students;
• 1-6 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: Must be a PhD student in Nutritional Sciences
• Description: Original investigations of a specific research topic in Nutritional Sciences. Designed for doctoral students performing research prior to passing their qualifying exams. Students will complete two separate rotations with faculty members for a minimum of 1 credit each. This course may be elected more than once.

NUTR990: Dissertation Research/Pre-Candidate

• Graduate level
• Residential
• Fall, Winter term(s) for residential students;
• 1-8 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: Nutritional Sciences Doctoral Student
• Description: Election for dissertation work by doctoral students not yet admitted to status as a candidate.

Concentration Competencies that NUTR990 Allows Assessment On

Department	Program	Degree	Competency	Specific course(s) that allow assessment
NUTR	Molecular and Biochemical Nutrition	PhD	Create a rigorous study design to test a research question based on a critical evaluation of prior literature	NUTR990, NUTR995, NUTR830
NUTR	Nutritional Interventions	PhD	Create a rigorous intervention study design to test a research question based on a critical evaluation of prior literature	NUTR990, NUTR995, Preliminary Exam

NUTR995: Dissertation Research for Doctorate in Philosophy

• Graduate level
• Residential
• Fall, Winter term(s) for residential students;
• 1-8 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: Nutritional Sciences Doctoral Student
• Description: Election for dissertation work by doctoral student who has been admitted to status as a candidate

Concentration Competencies that NUTR995 Allows Assessment On

Department	Program	Degree	Competency	Specific course(s) that allow assessment
NUTR	Molecular and Biochemical Nutrition	PhD	Create a rigorous study design to test a research question based on a critical evaluation of prior literature	NUTR990, NUTR995, NUTR830
NUTR	Nutritional Interventions	PhD	Create a rigorous intervention study design to test a research question based on a critical evaluation of prior literature	NUTR990, NUTR995, Preliminary Exam

PUBHLTH306: Practical Tools for Conducting Public Health Research

• Undergraduate level
• Residential
• Winter term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Offered Annually
• Prerequisites: None
• Description: This course provides students with fundamental principles of research methodologies relevant to public health research. We will review a range of methodologies, including randomized controlled trials, observational studies, and mixed-method approaches. We will develop enhanced capacity to understand and critically appraise data from scientific studies.
• Learning Objectives: 1. Acquire a knowledge base of research methodologies used in public health research 2. Become a critical consumer of public health research and interventions 3. Explain the role of quantitative and qualitative methods and sciences in describing and assessing a populations health 4. Explain the critical importance of evidence in advancing public health knowledge 5. Apply methodological principles toward planning public health research
• Syllabus for PUBHLTH306

PUBHLTH326: The U.s. Healthcare System

• Undergraduate level
• Residential
• Fall term(s) for residential students;
• 2 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Not offered 2026-2027
• Prerequisites: None
• Advisory Prerequisites: PUBHLTH 200
• Description: This course provides an overview of the current U.S. Health Care System with the emphasis on the components and challenges of the Organization, Delivery, and Financing of health care today.
• Learning Objectives: Upon successfully completing this course, the student will be able to: a. Describe the major stages in the development of healthcare delivery in the U.S. b. Describe the major economic, social and political stages in the development of Health Care Delivery c. Describe the Current U.S. Health Care Delivery System and Challenges facing Care Providers. d. Describe the current financing opportunities and challenges in health care delivery. e. Assess and describe the current challenges in the US Health Care Delivery system within the context of Personal Care Delivery: cost, quality and access to care.
• Syllabus for PUBHLTH326

PUBHLTH335: Patient-provider Interaction

• Undergraduate level
• Residential
• Fall term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: None
• Advisory Prerequisites: PUBHLTH 200
• Description: This course examines the role of patient-provider interaction in shaping health care and health systems change. The foundation of the course is transdisciplinary research – blending insights from anthropology, communication studies, education, public health, psychology, and sociology – that uses audio, video, and text-based records of real-world patient-provider interactions to describe and intervene in healthcare practice. We will explore how patients, providers, and teams interact via verbal and nonverbal conduct to coordinate routine activities, such as making decisions, assessing risks, weighing treatment options, and discussing end-of-life care, and their impact on healthcare quality and outcomes. Through a complex systems perspective, we will also consider how small changes or issues in interactions can make big differences at multiple levels of scale. We will consider how history, power, authority, culture, identity, language, and worldviews about health and well-being, linking micro, meso, and macro-level dynamics, shape and are shaped by interactions at the point of care. Throughout the course, we will weigh the possibilities and limitations of transforming health care through patient-provider interaction. This class is ideal for students with a range of interests: careers in health care, research in clinical settings, improving your interactions with healthcare providers, or a general curiosity about communication in real-world settings.
• Learning Objectives: 1. Demonstrate an understanding of how historical, social, cultural, political, and healthcare contexts shape relationships and dynamics between patients and providers. 2. Describe how patient-provider interaction influences healthcare quality, outcomes, and systems. 3. Explain common practices and dilemmas that arise in patient-provider interaction. 4. Critically evaluate empirical research on patient-provider interaction. 5. Observe and qualitatively analyze patterns in verbal and nonverbal conduct in patient-provider interactions. 6. Propose ways to translate evidence from research real-world patient-provider interactions into practice.

PUBHLTH380: Leadership And Teamwork: From Personal Growth To Professional Achievement

• Undergraduate level
• Residential
• Winter term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: None
• Description: PUBHLTH 380 is an intensive 7-week course that focuses on foundational leadership and teamwork skills to foster both professional and personal growth through the lens of emotional intelligence. Throughout the course, students will gain insights into diverse leadership styles and their effective application in diverse scenarios.
• Learning Objectives: 1. Identify multiple leadership styles and their applicability. 2. Understand cultural humility and inclusive leadership. 3. Understand the importance of collaboration and teamwork in leadership. 4. Identify common challenges in teamwork and strategies to overcome them. 5. Learn consensus-building and decision-making skills. 6. Develop skills to engage in difficult conversations effectively. 7. Understand the importance of continuous improvement and self-renewal. 8. Define the four key domains of emotional intelligence and its significance in leadership. - Explore self-awareness, including critical self reflection, emotional self-awareness, and accurate self-assessment. - Explore social awareness and reflect on one's social identity and its impact on leadership. - Explore self-management skills, including emotional control, stress management, empathy and listening skills. - Explore relationship management, communication styles, and conflict resolution.

PUBHLTH410: Making Change: Public Health Policy Advocacy in Principle and Practice

• Undergraduate level
• Residential
• Winter term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: PUBHLTH 200
• Description: This class will provide students with skills to advocate for public health policies at all levels of government. Through lectures, class discussions, and group projects on "live" public health issues, students develop the skills to create opportunities to inform policymaking, and become more effective communicating in the policymaking environment.
• Learning Objectives: 1. Appraise the political landscape and stakeholders that are important for making policy change on a given public health topic. 2. Apply principles of policy-making, policy change theory, and policy advocacy to real life public health problems. 3. Effectively advocate for public health change at the local, state and federal level. 4. Develop strong written and verbal communication skills. 5. Define and frame public health problems in such a way that inspires policy change. 6. Analyze the legislative, administrative and judicial intervention points for policymaking and identify where to effectively target advocacy efforts. 7. Identify and evaluate advocacy strategies, such as coalition building, grassroots engagement, and paid and earned media outreach, in order to create specific advocacy campaigns. 8. Develop personal and communication skills to effectively translate and advocate for public health improvements to policymakers, the press and the public.
• Syllabus for PUBHLTH410

PUBHLTH411: Making Change: Experiential Learning in Effective Public Health Policy Advocacy

• Undergraduate level
• Residential
• Winter term(s) for residential students;
• 1 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: No enforced prereq. This course is a corequisite to PUBHLTH 410 - students who elect this course must also be enrolled in PUBHLTH 410.
• Description: In this course, students will apply knowledge obtained in Professor Wolfson's course to a current state policy issue pending in Lansing. Students will gain strong written and verbal communication skills by developing an advocacy strategy, preparing written materials, and meeting with policymakers in Lansing to advance their policy goal.
• Learning Objectives: 1. Appraise the political landscape and stakeholders that are important for making policy change on a given public health topic. 2. Apply principles of policy-making, policy change theory, and policy advocacy to real life public health problems. 3. Effectively advocate for public health change at the local, state and federal level. 4. Develop strong written and verbal communication skills. 5. Define and frame public health problems in such a way that inspires policy change. 6. Analyze the legislative, administrative and judicial intervention points for policymaking and identify where to effectively target advocacy efforts. 7. Identify and evaluate advocacy strategies, such as coalition building, grassroots engagement, and paid and earned media outreach, in order to create specific advocacy campaigns. 8. Develop personal and communication skills to effectively translate and advocate for public health improvements to policymakers, the press and the public.

PUBHLTH477: Readings in Public Health

• Undergraduate level
• Residential
• Fall, Winter term(s) for residential students;
• 1-3 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: None
• Description: Review of literature or directed readings on selected topic related to one or more areas of public health.
• Learning Objectives: By the end of the term, students should be able to find and appropriately interpret and critically evaluate the findings in peer-reviewed scientific literature.

PUBHLTH478: Practical Projects in Public Health

• Undergraduate level
• Residential
• Fall, Winter term(s) for residential students;
• 1-3 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: None
• Description: Practical projects allows undergraduate students to explore community-based public health settings. Project must be related to public health practice and developed in consultation with a faculty advisor. Students will write an integrative paper analyzing the organization's role in the public health system and critically reflecting on their experience.
• Learning Objectives: As part of this course students will consider the following concepts: 1. Health promotion at a population level 2. Community dynamics and the cultural context in which public health professionals work 3. Organizational structure and dynamics, including the organization's role in the public health system 4. How to operate professionally in a public health organization (including but not limited to: personal work ethic, professionalism, teamwork, and leadership)

PUBHLTH479: Independent Research in Public Health

• Undergraduate level
• Residential
• Fall, Winter term(s) for residential students;
• 1-3 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: None
• Description: Students conduct independent research on a specific public health topic under the supervision of a public health faculty member.
• Learning Objectives: After completing this course, students will: 1. Understand how to form a research question; 2. Be able to identify relevant literature or data sources to address a research question; 3. Better understand the role of data in understanding public health problems.

PUBHLTH503: Service Learning for Health Professionals

• Graduate level
• Residential
• Winter term(s) for residential students;
• 2 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Not offered 2026-2027
• Prerequisites: None
• Undergraduates are allowed to enroll in this course.
• Description: An interdisciplinary service-based course required for all pharmacy students and elective for students of other health science disciplines. Learning experiences will focus on social justice and professional responsibilities for civic engagement. Through class participation, reflection, and guided discussions, students will explore issues of health disparities, poverty, and the medically under-served. Students participate in community service in addition to regular classroom discussion sessions.
• This course is cross-listed with PHARM 503, SW 573, KINESLGY 581, MOVESCI 481.

PUBHLTH741: Interdisciplinary Problem Solving

• Graduate level
• Residential
• Fall, Winter term(s) for residential students;
• 1-3 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: none
• Advisory Prerequisites: graduate standing
• Description: "Interdisciplinary Problem Solving" is a course offered at the Law School through the Problem Solving Initiative (PSI). Through a team-based, experiential, and interdisciplinary learning model, small groups of U-M graduate and professional students work with faculty to explore and offer solutions to emerging, complex problems.
• Learning Objectives: Will vary term to term
• This course is cross-listed with LAW741/PUBPOL710/SW741 in the Law School, Public Policy, Social Work department.

PUBHLTH796: Special Topics in Public Health

• Graduate level
• Residential
• Fall, Winter, Spring-Summer term(s) for residential students;
• 1-5 credit hour(s) for residential students;
• Instructor(s): Staff (Residential);
• Prerequisites: none
• Description: This course will be used by faculty members to teach special or emerging topics related to Public Health. The specific material and format will vary by semester and instructor.
• Learning Objectives: Will vary by topic and instructor.