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Department of Health Studies

This is an archived copy of the 2012-13 catalog. To access the most recent version of the catalog, please visit


  • Ronald A. Thisted


  • Habib Ahsan
  • Robert D. Gibbons
  • Benjamin B. Lahey
  • Diane S. Lauderdale
  • Ronald A. Thisted

Associate Professors

  • Kathleen A. Cagney
  • Brian Chiu
  • James J. Dignam
  •  R. Tamara Konetzka

Assistant Professors

  • Hongyuan Cao
  • Lin Chen
  • Michael David
  • Dezheng Huo
  • Lianne Kurina
  • Brandon Pierce
  • John Schneider
  • Fabrice Smieliauskas

Emeritus Faculty

  • John Christian Bailar
  • Willard G. Manning, Jr.

The Department of Health Studies was approved by the University in 1993 and began operations in November of 1995. The mission of the department is to increase and communicate knowledge to enhance health, reduce illness, and improve outcomes of health care. Department members conduct research in biostatistics, epidemiology, and health services. These projects include interdisciplinary investigations such as medical outcomes studies, development and implementation of guidelines, analysis of clinical decision making, investigation of patient provider relationships, and development of health system models that effectively and efficiently address the health needs of a population.

Program of Study

Currently, the Department of Health Studies offers a graduate program, the Master of Science in Health Studies for Clinical Professionals, and a Ph.D. program. Current information on graduate programs is available from the department’s website at .

The Degree of Doctor of Philosophy

The Department of Health Studies at the University of Chicago offers a program of study leading to the Ph.D. with emphasis in biostatistics, epidemiology or health services research. This program will prepare individuals for research careers in population-based research in human health and biomedical science. The program is organized around a common quantitative core curriculum designed to prepare students methodologically for more in-depth study in their chosen field and for dissertation research. Beyond the core curriculum, each student will choose a major disciplinary area of concentration, take a sequence of advanced courses in that area, and prepare a dissertation of independent, original, and rigorous research. Opportunities for such concentrated study will be available in the three broad areas of biostatistics, epidemiology and health services research, areas of expertise represented by department faculty.

In addition to the concentration, each student will choose a minor program of study in another area either represented by department faculty or offered elsewhere in the Biological Sciences Division or on campus. Tailored to each individual student, the minor will vary in its degree of specificity from student to student. It may be in one of the broad areas represented by the department, or in a more specialized area. Examples of specialized minors include psychiatric or cancer epidemiology, health economics, economics of aging, clinical trials design, cancer biology, genetic or molecular epidemiology, bioinformatics, or medical decision theory.

Program requirements

Students should expect to complete the program in 5 years by fulfilling the following requirements:

  1. Complete 18 graduate level courses, including:
    • A core curriculum of up to seven courses needed to prepare for the qualifying examination.
    • A major concentration program approved by the faculty consisting of at least 7 additional courses in a disciplinary domain (such as biostatistics).
    • A minor program approved by the faculty consisting of at least 3 additional courses in a second disciplinary area.
  2. Successfully complete a course in scientific integrity and the ethical conduct of research, usually in the first year of study (divisional ethics requirement).
  3. Pass a multi-part qualifying examination demonstrating mastery of the core curriculum and of foundational knowledge in the chosen area of concentration.
  4. Teach two quarters for credit in pre-approved teaching assistant positions in the biological sciences (divisional teaching requirement).
  5. Establish a doctoral dissertation committee, present proposed dissertation research to members of that committee and other interested faculty, and obtain written approval from the committee on the proposed dissertation research.
  6. Prepare and defend a doctoral dissertation of independent, original, and rigorous research in the chosen area of concentration.
  7. Participate in the departmental seminar, in weekly faculty/student workshops, and in research workshops that overlap with the chosen area of concentration.

Required courses

HSTD 30900Principles of Epidemiology100
HSTD 32400Applied Regression Analysis100
HSTD 31001Epidemiologic Methods100
HSTD 32700Biostatistical Methods100
HSTD 35100Health Services Research Methods100
HSTD 35411The U. S. Health Care System100
HSTD 38000Health Status Assessment: Measurement and Inference100

Application for Admission

Applications should be received by December 1st for entrance into the program in the fall quarter and should consist of a BSD application (including three letters of recommendation), uploaded official transcript(s) from all degree institutions, GRE scores, TOEFL scores (if applicable), CV/detailed relevant work history, and a research statement indicating area of major concentration.

Interested students should visit the department website at .

Master of Science in Health Studies for Clinical Professionals

The Master of Science Program for Clinical Professionals is a course of study in the theory, methods, and concepts of biostatistics, epidemiology, and health services research needed to design and carry out clinical and epidemiologic research programs. It is designed for the professional enhancement of physicians and other clinical professionals. The program can be completed in one year of full time study, or it can be undertaken in conjunction with a clinical fellowship or training program, in which case the course work may be distributed over two or three years. Students in the program acquire skills with basic statistical methods, followed by additional training in the fundamental theory and methods of epidemiology, biostatistics, and health services research. Through choice from a broad range of elective courses, students can specialize in one of the three disciplinary areas.

Entrance requirements

Applicants should either have a doctoral level clinical degree (such as M.D., D.O., or nursing Ph.D.) from an accredited institution, or must have completed pre-clinical training at an accredited medical school. In the latter case, the candidate must provide a plan for completion of both the M.D. and S.M. degrees, and a letter of support from the candidate’s medical school.

Program requirements

A candidate in this program for the degree of Master of Science in Health Studies must satisfy the divisional requirements for the degree, complete the required courses and elective courses (nine courses in total), and complete a master’s paper.

Required courses

HSTD 30700Clinical Epidemiology100
HSTD 30900Principles of Epidemiology100
HSTD 32100Intro To Biostatistics *100
HSTD 32400Applied Regression Analysis100
HSTD 31001Epidemiologic Methods100
HSTD 35100Health Services Research Methods100
At least one of the following:
HSTD 32600Analysis of Categorical Data100
HSTD 32700Biostatistical Methods100
HSTD 33300Applied Longitudinal Data Analysis100
HSTD 33100Applied Survival Analysis100


STAT 22000 or equivalent can be substituted for this course.

Application for Admission

Applications for admission should be completed by December 1st for entry into the program in the following summer quarter.

If the degree program will be pursued while the candidate will be participating in a clinical training program, a letter of support from the training program director is required. Candidates must also submit a statement describing how the proposed course of study will enhance their professional objectives. In addition, candidates must provide transcripts from all post secondary institutions, MCAT or GRE scores, and a completed Biological Sciences Division application.

Interested students should visit the department website at .

Health Studies Courses

HSTD 30030. Introduction to Global Health. 100 Units.

This course provides an overview of global health from the historical perspective to the current state of global health. The course features weekly guest lecturers with a broad range of expertise in the field: topics include the social and economic determinants of health, the economics of global health, global burden of disease, and globalization of health risks, as well as the importance of ethics, human rights, and diplomacy in promoting a healthier world. The course is designed for graduate-level students and senior undergraduates with an interest in global health work in resource-limited settings.

Instructor(s): J. Schneider, C. S. Olopade     Terms Offered: Winter, every other year in odd years.
Prerequisite(s): This course does not meet requirements for the biological sciences major
Equivalent Course(s): BIOS 29294,CCTS 43000

HSTD 30500. Issues in Women's Health. 100 Units.

The course will focus on important sources of morbidity and mortality in women, such as heart disease, breast cancer, depression, eating disorders, and HIV. In addition to learning about the etiology, biology, and epidemiology of these conditions, we will explore related social, historical, political and cultural issues. The course will be comprised of presentations by the instructor, guest lectures by clinical experts in the condition of interest, and student-led discussions of readings.

Instructor(s): L. Kurina     Terms Offered: Winter
Note(s): Not offered in 2013-14
Equivalent Course(s): BIOS 29317,GNSE 29302,GNSE 30500

HSTD 30700. Clinical Epidemiology. 100 Units.

Clinical epidemiology is the "application of epidemiologic principles and methods to problems encountered in clinical medicine." This course introduces the basic principles of epidemiologic study design, analysis and interpretation, with a particular focus on clinical applications. The course includes lectures and discussions based on critical appraisal of significant research articles. The course is primarily intended for, but not restricted to, students with prior clinical training. Health Studies 30700 and 30900 may not both be taken for credit, either will fulfill the basic epidemiology requirement for the MSCP in Health Studies and either will serve as the epidemiology prerequisite for Health Studies 31001.

Instructor(s): D. Lauderdale & R. Thisted     Terms Offered: Summer
Prerequisite(s): Introductory statistics recommended, may be taken concurrently.
Equivalent Course(s): CCTS 45100

HSTD 30900. Principles of Epidemiology. 100 Units.

This course does not meet requirements for the biological sciences major. Epidemiology is the study of the distribution and determinants of health and disease in human populations. This course introduces the basic principles of epidemiologic study design, analysis, and interpretation through lectures, assignments, and critical appraisal of both classic and contemporary research articles.

Instructor(s): L. Kurina     Terms Offered: Autumn
Prerequisite(s): Introductory statistics recommended or Consent of Instructor
Equivalent Course(s): BIOS 29318,ENST 27400,PPHA 36400,STAT 35000

HSTD 31001. Epidemiologic Methods. 100 Units.

This course expands on the material presented in "Principles of Epidemiology," further exploring issues in the conduct of epidemiologic studies. The student will learn the application of both stratified and multivariate methods to the analysis of epidemiologic data. The final project will be to write the "specific aims" and "methods" sections of a research proposal on a topic of the student's choice.

Instructor(s): D. Huo     Terms Offered: Winter
Prerequisite(s): HSTD 30700 or HSTD 30900 AND HSTD 32400 or applied statistics courses through multivariate regression.
Equivalent Course(s): STAT 35700

HSTD 31200. Cancer Epidemiology. 100 Units.

The purpose of this course is to review the basic concepts and issues relevant to cancer epidemiology. Specifically, this course will focus on interpreting cancer statistics, and describing the current state of knowledge regarding the etiology and risk factors for the major cancer sites. In addition, issues in research design and interpretation within the context of cancer epidemiology, as well as the molecular and cellular basis of carcinogenesis as it pertains to cancer occurrence in populations will be discussed. The course is appropriate for students who have an introductory knowledge of epidemiology.  Previous study of cancer biology is helpful but not required.

Instructor(s): B. Chiu     Terms Offered: Winter
Prerequisite(s): HSTD 30700 or HSTD 30900
Note(s): Not offered in 2013-14

HSTD 31300. Infectious Disease Epidemiology, Networks and Modeling. 100 Units.

This intermediate-level epidemiology course directed by two infectious disease epidemiologist-physicians will provide an up to date perspective on forgotten, contemporary and emerging infections.  The course lectures and readings will provide a rigorous examination of the interactions among pathogens, hosts and the environment that produce disease in diverse populations.  In addition to the demographic characteristics and the behaviors of individuals that are associated with a high risk of infection, we will examine complex aspects of the environment as they pertain to disease transmission.  These include poverty, globalization, social networks, public health, and racial and ethnic disparities.  Methodologic approaches to infectious disease epidemiology that will be covered include traditional study designs, molecular epidemiology, social network analysis, modeling, and network science.  Local and global approaches will be applied to case studies from the United States, Asia and Africa.

Instructor(s): M. David & J. Schneider     Terms Offered: Spring
Prerequisite(s): HSTD 30700 or HSTD 30900 or introductory epidemiology or consent of instructor.
Note(s): Not offered in 2013-14
Equivalent Course(s): CCTS 43200

HSTD 31400. Social Epidemiology. 100 Units.

This course will examine research that has sought to understand how social factors influence health. We will survey and evaluate different types of measurements used in social epidemiology (such as measurements of socioeconomic status, race, ethnicity, stress, social support and neighborhood characteristics), types of study designs, and debates and theories in the literature. A prior course in epidemiology or closely related filed (such as demography or medical sociology) is highly desirable. Familiarity with the statistical methods used in the literature we will be reading, in particular multivariate regression analysis, is necessary.

Instructor(s): D. Lauderdale
Prerequisite(s): A course in epidemiology, demography, medical sociology or the equivalent, and familiarity with multivariate statistical methods.

HSTD 31510. Critical Readings in Epidemiology. 100 Units.

Course consists of reading and critiquing important and innovative recent papers in epidemiology. Each week, there will be a different substantive or disease focus for the papers. Research areas covered will be primarily, but not exclusively, in noninfectious diseases.  Different faculty will lead the discussion each week and students will prepare and present summary critiques of the articles.

Instructor(s): B. Pierce     Terms Offered: Spring
Prerequisite(s): HSTD 30700 or HSTD 30900
Note(s): Not offered in 2013-14

HSTD 31831. Genetic & Molecular Epidemiology. 100 Units.

This course is designed for students with strong research interests related to identifying and characterizing the role of genetic and molecular features in human disease.  Students will be introduced to the key concepts and methodological issues encountered in epidemiological studies that utilize genetic and molecular data.  This course will train students on the theoretical and practical aspects of study design and data generation, and also provide the relevant hands-on training for quality control, management, and analysis of large-scale genomic/molecular data.  Students are expected to have taken prior coursework in epidemiology, biostatistics, and genetics.

Instructor(s): B. Pierce     Terms Offered: Spring
Prerequisite(s): HSTD 30700 or HSTD 30900 (or introductory epidemiology) AND HGEN 47000 or consent of instructor.
Note(s): Not offered in 2012-13

HSTD 32100. Intro To Biostatistics. 100 Units.

This course will provide an introduction to the basic concepts of statistics as applied to the bio-medical and public health sciences. Emphasis is on the use and interpretation of statistical tools for data analysis. Topics include (i) descriptive statistics; (ii) probability and sampling; (iii) the methods of statistical inference; and (iv) an introduction to linear and logistics regression.

Instructor(s): L. Chen     Terms Offered: Summer
Prerequisite(s): 2 quarters of pre-calculus
Note(s): *In addition to the course, there is a statistical computing workshop held on Wednesdays from 10-11:30am in BSLC 018.
Equivalent Course(s): CCTS 45000

HSTD 32400. Applied Regression Analysis. 100 Units.

This course introduces the methods and applications of fitting and interpreting multiple regression models. The primary emphasis is on the method of least squares and its many varieties. Topics include the examination of residuals, the transformation of data, strategies and criteria for the selection of a regression equation, the use of dummy variables, tests of fit, nonlinear models, biases due to excluded variables and measurement error, and the use and interpretation of computer package regression programs. The techniques discussed are illustrated by many real examples involving data from both the natural and social sciences. Matrix notation is introduced as needed.

Terms Offered: Autumn
Prerequisite(s): STAT 22000 or 23400 or 24500 or HSTD 32100
Equivalent Course(s): STAT 22400

HSTD 32600. Analysis of Categorical Data. 100 Units.

This course covers statistical methods for the analysis of structured, counted data. Topics may include Poisson, multinomial, and product-multinomial sampling models; chi-square and likelihood ratio tests; log-linear models for cross-classified counted data, including models for data with ordinal categories and log-multiplicative models; logistic regression and logit linear models; and measures of association. Applications in the social and biological sciences are considered, and the interpretation of models and fits, rather than mathematical details of computational procedures, is emphasized.

Terms Offered: Winter
Prerequisite(s): STAT 22000 or 23400 or 24500
Equivalent Course(s): STAT 22600

HSTD 32700. Biostatistical Methods. 100 Units.

This course is designed to provide students with tools for analyzing categorical, count, and time-to-event data frequently encountered in medicine, public health, and related biological and social sciences. This course emphasizes application of the methodology rather than statistical theory (e.g., recognition of the appropriate methods; interpretation and presentation of results). Methods covered include contingency table analysis, Kaplan-Meier survival analysis, Cox proportional-hazards survival analysis, logistic regression, and Poisson regression.

Instructor(s): H. Cao     Terms Offered: Winter
Prerequisite(s): HSTD 32400, STAT 22400 or STAT 24500 or equivalent or consent of instructor.
Equivalent Course(s): STAT 22700

HSTD 32901. Introduction to Clinical Trials. 100 Units.

This course will review major components of clinical trial conduct, including the formulation of clinical hypotheses and study endpoints, trial design, development of the research protocol, trial progress monitoring, analysis, and the summary and reporting of results. Other aspects of clinical trials to be discussed include ethical and regulatory issues in human subjects research, data quality control, meta-analytic overviews and consensus in treatment strategy resulting from clinical trials, and the broader impact of clinical trials on public health.

Instructor(s): J. Dignam     Terms Offered: Spring
Prerequisite(s): HSTD 32100 or STAT 22000; Introductory Statistics or Consent of Instructor,HSTD 32100; STAT 22000; Introductory Statistics or Consent of Instructor
Note(s): Not offered in 2012-13,

HSTD 33100. Applied Survival Analysis. 100 Units.

For course description contact Health Studies. ,This course will provide an introduction to the principles and methods for the analysis of time-to-event data. This type of data occurs extensively in both observational and experimental biomedical and public health studies, as well as in industrial applications. While some theoretical statistical detail is given (at the level appropriate for a Master's student in statistics), the primary focus will be on data analysis. Problems will be motivated from an epidemiologic and clinical perspective, concentrating on the analysis of cohort data and time-to-event data from controlled clinical trials.

Instructor(s): ,H. Cao     Terms Offered: ,Autumn
Prerequisite(s): ,HSTD 32100 or Stat 22000; introductory statistics or consent of instructor
Equivalent Course(s): STAT 35600

HSTD 33500. Statistical Applications. 100 Units.

This course provides a transition between statistical theory and practice.  The course will cover statistical applications in medicine, mental health, environmental science, analytical chemistry, and public policy. 
Lectures are oriented around specific examples from a variety of content areas.  Opportunities for the class to work on interesting applied problems presented by U of C faculty will be provided.  Although an overview
of relevant statistical theory will be presented, emphasis is on the development of statistical solutions to interesting applied problems.

Instructor(s): R. Gibbons     Terms Offered: Spring
Prerequisite(s): HSTD 32700/STAT 22700 or STAT 34700 or consent of instructor.
Note(s): Not offered in 2012-13
Equivalent Course(s): STAT 35800

HSTD 35000. Fundamentals of Health Services Research: Theory, Methods, and Applications. 100 Units.

This course is designed to provide an introduction to the fundamentals of health services research. The basic concepts of health services research will be taught with emphasis on both their social scientific foundations and the methods needed for their practical application to empirically relevant research. Theoretical foundations will draw on principles from economics, sociology, psychology, and the other social sciences. Methodological topics to be covered will include techniques for data collection and analysis, including outcomes measurement, survey methods, large data set research, population-based study design, community based participatory research, research based in clinical settings, qualitative methods, cost-effectiveness analysis, and tools of economic and sociological analysis. The theoretical and empirical techniques taught will emphasize those relevant to the examination of health care costs, quality, and access. Major applications will include: measurement and improvement of health care quality, analysis of health disparities, analysis of health care technology, and analysis of health care systems and markets. This course will meet for 1.5-hour sessions, five times per week for six weeks.

Equivalent Course(s): PPHA 47900

HSTD 35100. Health Services Research Methods. 100 Units.

The purpose of this course is to better acquaint students with the methodological issues of research design and data analysis widely used in empirical health services research. To deal with these methods, the course will use a combination of readings, lectures, problem sets (using STATA), and discussion of applications. The course assumes that students have had a prior course in statistics, including the use of linear regression methods.

Instructor(s): T. Konetzka     Terms Offered: Spring
Prerequisite(s): At least one course in linear regression and basic familiarity with STATA; or consent of instructor.
Equivalent Course(s): PPHA 38010,SSAD 46300

HSTD 35200. Demography of Aging/Life Course. 100 Units.

This is a course in population aging and its social, economic and political ramifications. It will examine basic models of demographic and health transitions, trends in aging and health status, characteristics of medical care and long-term care, and the implications of these for the development of public policy. Emphasis will be placed on life course approaches to the study of aging. Specific topics include health, functional status, and well-being; socioeconomic status and inequality; family structure and living arrangements; formal and informal long-term care; early life predictors of health and longevity; generational equity; neighborhood social context. We will begin with micro-level considerations such as health and functional status, then shift the unit of analysis to family formation and social networks, then to neighborhood effects. We will use the City of Chicago as case study. We will examine the extent to which age, and aging neighborhoods, shape political and social forces in our community. To extend this theme, we will explore in depth the 1995 Chicago heat wave; we will pay particular attention to the roles that social isolation and neighborhood social context play in the lives of older adults.

Equivalent Course(s): PPHA 36500

HSTD 35301. Aging and Health Policy. 100 Units.

This course is a seminar in aging and health policy and the relationships between policy, financing, access to care, and quality of care for the elderly.  The focus is on health care systems and policy as opposed to demography and biological aspects of aging.  Specific topics include Medicaid and Medicare policy; long-term care insurance and financing; workforce issues; dementia and end-of-life care; the culture change movement; work and retirement as it relates to health policy; and cross-national comparisons of health policy toward the elderly.  Students will engage in an ongoing discussion of policy options and learn to evaluate their potential to improve quality and ensure access for the elderly to health care and long-term care.

Terms Offered: Spring 2009
Equivalent Course(s): PPHA 42401,SSAD 49022

HSTD 35411. The U. S. Health Care System. 100 Units.

This course is a comprehensive examination of many of the key components of the U.S. health care system and how they work, intended for students from a wide range of backgrounds. Among others, topics may include public and private health insurance, the uninsured, health reform, hospitals, physicians, health care quality and costs, health information technology, pharmaceuticals, medical devices and diagnostics, long-term care, mental health services, and comparisons with health systems in developed and emerging markets

Instructor(s): F. Smieliauskas     Terms Offered: Autumn & Spring
Prerequisite(s): GPHAP requirement in Spring quarter: Non-GPHAP students with permission of instructor
Equivalent Course(s): PPHA 37510,SSAD 47512

HSTD 37100. Cost Effectiveness Analysis. 100 Units.

Cost Effectiveness Analysis (CEA) and Cost Utility Analysis (CUA) are widely used for the economic evaluation of health and medical treatments. Emphasis will be on understanding the basic foundations of CEA/CUA and the implications for the components in the evaluation. The course will address the measurement of health and medical effectiveness, health care and societal costs, and their integration into a formal assessment of alternative treatments. Applications from the literature will be used. By the end of the course, students are expected to be able to critique methods used in published papers.

Equivalent Course(s): PPHA 38200

HSTD 37900. Health Outcomes and the Quality of Medical Care. 100 Units.

This course will be an intensive introduction to the assessment and improvement of health outcomes and the quality of medical care. We will address two central questions: 1) How do you measure health outcomes and the quality of care? 2) How do you effect and evaluate change? Topics will include the outcomes movement and concepts of quality; scaling and scoring health status and quality of life measures and assessing validity and reliability of these measures; explicit and implicit quality measures; preventable morbidity; patient satisfaction; physician behavior; practice guidelines; physician profiling; and total quality management. Prerequisites: (Required) Descriptive and bivariate statistics, (Recommended) Multivariate statistics, Epidemiology, PPHA 46100.

Equivalent Course(s): PPHA 37900,SSAD 49300

HSTD 38000. Health Status Assessment: Measurement and Inference. 100 Units.

This course will be an introduction to survey design and sampling methodology focused on health outcomes and the quality of medical care.  We will address two central questions:  1) How do we measure health outcomes and the quality of medical care?  2)  How do we insure that the study population is representative of the population of interest?  Topics will include concepts of quality and health status assessment, scaling and scoring health status and quality of life measures, assessing validity and reliability of these measures, uses and limitations of outcomes data, sample design, sampling methodology, and survey implementation. Prerequisite: Descriptive and bivariate statistics.  Recommended:  Multivariate statistics, epidemiology.

Terms Offered: Winter 2009
Equivalent Course(s): PPHA 38000

HSTD 38400. Advanced Topics in Health Economics. 100 Units.

The purpose of this course is to provide substantial exposure to the state of the evidence and the major theoretical and empirical approaches used to study salient issues in health economics. Selected topics may vary from year to year; examples include health capital, health insurance, health behaviors, health care market structure and competition, not-for-profit ownership, payment incentives, and the effects of information on provider behavior (e.g. public reporting and value-based purchasing) and consumer behavior (e.g., advertising and medical decision making)

Instructor(s): T. Konetzka & R. Conti
Prerequisite(s): Graduate courses in microeconomics and econometrics or statistics, including the use of linear and nonlinear regression methods.

HSTD 40500. Advanced Epidemiologic Methods. 100 Units.

This course examines some features of study design, but is primarily focused on analytic issues encountered in epidemiologic research. The objective of this course is to enable students to conduct thoughtful analysis of epidemiologic and other population research data. Concepts and methods that will be covered include: matching, sampling, conditional logistic regression, survival analysis, ordinal and polytomous logistic regressions, multiple imputation, and screening and diagnostic test evaluation. The course follows in sequence the material presented in “Epidemiologic Methods.”

Instructor(s): D. Huo     Terms Offered: Spring
Prerequisite(s): HSTD 31001
Note(s): Not offered in 2012-13