This course will provide students with a strong foundation in public health surveillance of health conditions and risk factors. The course will teach the theory and practice of surveillance supported by many examples of surveillance systems from the developed and developing world. The class will build on and reinforce basic epidemiologic concepts. Students will be given the opportunity to design and evaluate a surveillance system.
Credit Hours: 3 Class Meets: Tues., 6-9 p.m. Rotation: Even Semester: Spring 2020
- Professor: Baqiyyah Conway
The course offers an in-depth practical and conceptual approach to fundamental statistics. The course consists of learning a variety of procedures commonly used for testing hypotheses, learning to examine and analyze the data accordingly, and learning to communicate the research results to others. By the end of the course the student will be able to create a database, properly code and screen data and present results (SPSS or another statistical software package); determine and describe the strength of association and direction of relationships between two or more variables by identifying and computing appropriate statistical tests, such as chi-square statistics, correlation coefficients, and linear regression models and by writing up results; examine and present significant mean differences between and within groups by identifying and computing appropriate statistical tests, such as t-tests and analysis of variance models (ANOVA) and by writing up results.
Credit Hours: 3 Class meets: Mon 6 p.m. - 9 p.m. Rotation: ODD Semester: Spring 2020
- Professor: Harrison Ndetan