The course is designed for teachers and prospective teachers of modern foreign languages, with emphasis on Spanish. Modern methodology, theory and practice of language pedagogy.

Readings and discussion of contemporary Spanish literature and culture. May be repeated to a maximum of 9 credits when taught under different subtitles.

Special and intensive study of selected topics in Spanish literature and culture of the 15th and 16th centuries. May be repeated to a maximum of 9 credits when taught under different subtitles.

Statistical Packages, numerical methods in maximization and integration, bootstrapping, simulation methods, multivariate normal distribution.

Minimal sufficiency and completeness, Lehamnn-Scheffe Theorem and basic division theory, methods for evaluating interval estimators. Methods for evaluating hypothesis testing procedures, robustness and M-estimation, sequential analysis, censored data, model selection techniques.

Estimation and testing when the functional form of the population distribution is unknown; rank and sign tests; tests based on permutations of observa- tions; power of nonparametric tests; optimum nonpara- metric tests and estimators.

Axioms of Probability, conditional probability, distribution functions, density functions, transformations, expectations (expected values, moments, and MGFs), discrete and continuous distributions, multiple random variables (joint marginal, and conditional distributions), bivariate transformations, covariance and correlation, inequalities.

Review of one-way analysis of variance; planned and unplanned individual comparisons, including contrasts and orthogonal polynomials; factorial experiments; completely randomized, randomized block, Latin square, and split-plot designs: relative efficiency, expected mean squares; multiple regression analysis for balanced and unbalanced experiments, analysis of covariance. Lecture, three hours per week; laboratory, two hours per week for seven and a half weeks. Offered the first or second half of each semester.

Students will learn statistical methods used in public health studies. This includes receiver operator curves, multiple regression, logistic regression, confounding and stratification, the Mantel-Haenzel procedure, and the Cox proportional hazards model.

Topics to be selected by STA faculty. May be repeated to a maximum of nine credits.