Earning Criteria

• LEARNING OUTCOMES: • Discuss sentinel events in the history and development of epidemiology and the public health profession and their relevance for practice in the field. • Apply the basic terminology and definitions of epidemiology. • Describe the relationship between agent, host and environmental factors in disease causation. • Explain what causation means, and what criteria should be considered to determine whether a relationship between an exposure and a disease is likely to be causal.
• LEARNING OUTCOMES: •Calculate basic epidemiology measures of disease frequency such as prevalence and incidence. •Identify key sources of data for epidemiologic purposes. •Describe the objectives of surveillance and explain its significance in public health. •Describe and differentiate between the levels of prevention and discuss their application to health promotion and screening programs. •Identify the principles and limitations of public health screening programs.
• LEARNING OUTCOMES: •Define different epidemiologic study designs, describe their strengths and weaknesses, and identify the type of study design for a given epidemiologic study .•Compute measures of association such as odds ratios and relative risks and interpret their confidence intervals and tests of significance. •Define different types of bias and identify potential sources of bias and their implications for a given study. •Evaluate the strengths and limitations of epidemiologic reports.
• LEARNING OUTCOMES: •Read an epidemiologic study from the point of view of an epidemiologist and assess this study in relation to its quality, utility, and impact on public health. •Comprehend basic ethical and legal principles pertaining to the collection, maintenance, use and dissemination of epidemiologic data. •Conduct a literature review to retrieve epidemiological information you need when working in public health.•
• LEARNING OUTCOMES: •Distinguish between quantitative and qualitative variables. •Explain the differences and similarities between nominal, ordinal, interval, and ratio scales of measurement. •Perform descriptive statistics to characterize and describe data distributions. •Demonstrate understanding of the relationships between relative frequency distributions, probability distributions, sampling distributions and point and interval estimates of means and proportions.
• LEARNING OUTCOMES: •Generate confidence intervals and p-values for means and proportions that are based on single samples, explain their meaning, and state underlying assumptions •Generate confidence intervals and p-values for differences in means and proportions between two independent or paired samples, explain their meaning, and state underlying assumptions.• Define and identify Type 1 & 2 Errors. •Describe the effects of an increase or decrease of alpha and beta on precision and inference.
• LEARNING OUTCOMES: •Perform simple linear regression analysis and interpret strength and direction of relationships, assess utility of fitted model, calculate interval estimates of regression coefficients, and test hypotheses about strength of relationships. •Test hypotheses of association and goodness of fit for categorical data using chi-square tests, relative risk, and odds ratios. •Describe fundamental statistical methods in published literature.
• ASSESSMENT METHODS: Learning outcomes will be assessed through class participation and completion of course assignments for MPHP 601 and MPHP 602. Successful completion of in-class exercises, homework problem sets and assignments, quizzes, examinations, and oral presentations.