Courses Taught by Jennifer Head
EPID601: Principles And Methods Of Epidemiology
- Graduate level
- Residential
- Fall term(s) for residential students;
- 3 credit hour(s) for residential students;
- Instructor(s): Jennifer Head (Residential);
- Offered Every Fall
- Prerequisites: EPID 600 or departmental permission
- Advisory Prerequisites: Additional courses that are recommended by not required include: BIOSTAT 522 or similar course covering linear regression; experience with R programming language (through courses such as as EPID 639)
- Description: Epid 601 covers foundational concepts, principles, and methods of population-based epidemiologic research. The course expands upon Epid 600 material and is a foundation for subsequent Epid courses. Via theoretical and quantitative instruction, students will learn epidemiologic study design, measures of association, bias characterization and mitigation, statistical analysis, and causal inference.
- Syllabus for EPID601
| Department | Program | Degree | Competency | Specific course(s) that allow assessment | EHS | Industrial Hygiene | MS | Analyze, interpret, and apply statistical and epidemiological data | PUBHLTH512, EPID601, Thesis | EPID | Occupational and Environmental Epidemiology | MPH | Apply appropriate methods for collecting primary and/or secondary occupational and environmental exposure data and health outcomes for original analysis | EPID601 |
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EPID674: Epidemiologic Data Analysis Using R
- Graduate level
- Online MPH only
- This is a second year course for Online students
- Winter term(s) for online MPH students;
- 2 credit hour(s) for online MPH students;
- Instructor(s): Michael Hayashi (Online MPH);
- Offered Every Year
- Prerequisites: None
- Advisory Prerequisites: (EPID 640, PH 512) or (EPID 600, BIOSTAT 521 or 501)
- Description: This course introduces the R statistical programming language for epidemiologic data analysis. Content focuses on organizing, managing, and manipulating data; basic graphics in R; and descriptive methods and regression models widely used in epidemiology. The 2-credit option includes statistical modeling in R. The 3-credit option adds programming in R.
- Residential Syllabus for EPID674
