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Curriculum |
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Related Courses
ANTHRO 389 Ethnographic Methods and Analysis (1): Descriptive, naturalistic study of the culture of human social groups. Data gathering through observation and interview. Data analysis for ethnographic reporting.
ECON 341 Economics of Education (1): The economic analysis of education. Topics include returns to schooling, education and economic growth, education production functions, school financing, vouchers, charter schools, and accountability.
HDSP 402 Child Development (1): Major theories and current empirical research concerning cognitive and social/emotional development of children. Interaction of internal maturational factors with effects of families, peers, and schools.
HDSP 403 Adolescent Development (1): Biological, cognitive, and social development during adolescence. Social institutions and policies that affect the well-being of adolescents.
HDSP 404 Adult Development and Aging (1): Concepts, theories, and research on development and adaptation from early adulthood through aging: age periods, transitions; cognitive, moral, and faith development; psychosocial and ego development; defense mechanisms; death and dying.
HDSP 427 Social Opportunity and Educational Policy (1): Conflicts between offering opportunity to youth and societal imperatives for selecting and preparing youth for future careers; how society and schools deal with this conflict. Approaches to policy reform.
HDSP 432 Field Methods and Social Policy (1): The contribution of ethnography to the study of social policy. Strengths and weaknesses of this method for study of governmental programs' impact on clients and participants.
HDSP 451 Topics in Human Development and Social Policy (1): Topics may vary. May be repeated for credit with change of topic.
HDSP 463 Regression Analysis for Human Development Research (1): Topics vary. May be repeated for credit with change of topic.
LRN_SCI 401 Cognition and Learning (1): Theoretical and methodological techniques for knowledge representation, primarily as practiced by cognitive scientists. Application of these techniques to issues of learning that are of interest to researchers in the learning sciences.
LRN_SCI 403 Learning in Context: Cognitive Science Foundations of the Learning Sciences (1): Cognitive and social science theories of how people learn to understand, reason, and solve problems. Implications for the design of classroom learning environments; learning in real scenarios for investigating central issues in cognitive science. Learning in mathematics, science, reading/ writing, and informal reasoning.
LRN_SCI 451 Learning Science Journal Club (1): Discussion of trends in the field of Learning Sciences via articles and other resources.
LRN_SCI 463 Topics in Research Methods (1): Methodological approaches to research on learning- teaching environment implementation. Methods for examining processes of change and adoption of educational interventions in various settings. May be repeated for credit with change of topic.
PSYCH 405 Psychometric Theory (1): Introduction to principles of measurement, reliability, validity, and scale construction.
PSYCH 450 Fundamentals of Statistics (1): Probability, decision rules, and tests of significance, including chi square, t, and F.
PSYCH 453 Linear Models: Correlation and Regression (1): Linear models approach to design and analysis of experiments and quasi-experiments. Basic concepts in correlation and regression: partial and semipartial correlation, matrix notation, least squares methods, and dummy variables.
PSYCH 462 Cognitive Development (1): Cognitive development in infancy, childhood, and adolescence. Focus on theoretical explanations for cognitive change and development in core domains, including language, space, number, time, and social relations.
PSYCH 466 Analogy and Similarity (1): Psychology of comparison, including theories of similarity, analogy and metaphor in psychology and artificial intelligence; processes of transfer, comparison in decision making; analogy in mental models and folk theories; and development of analogy and similarity.
PSYCH 467 Culture, Language and Cognition (3) : Survey of theory, data, and methods in cultural research on language and cognition. Focus is on empirical research and its relation to cognitive psychology.
SOCIOL 401-1 Statistical Analysis of Social Data: Applied Regression Methods I (1): Introduction to the theory, methods, and practice of linear regression analysis: descriptive statistics,analysis of variance, ordinary least squares (OLS), and regression diagnostics. STATA used for computation. For first-year graduate students in sociology.
SOCIOL 401-2 Statistical Analysis of Social Data: Applied Regression Methods II (1): Regression models with categorical and discrete outcomes: categorical variables, maximum likelihood estimation (MLE), probit and logistic regression, logit models, tobit models, and advanced STATA techniques. For first-year graduate students in sociology.
SOCIOL 402 Event-History Analysis (1): Introduction to event-history (survival) analysis: common nonparametric, semiparametric and parametric models for both continuous and discrete time intervals; practical data management techniques in STATA. Prerequisites: SOCIOL 401-2 or permission of instructor.
SOCIOL 403 Field Methods (1): Application of the methods of case study, interviewing, and participant observation.
SOCIOL 404 Designs for Descriptive Causal Research in Field Settings (1): Theories of causation. Analysis of the ability of various experimental and quasi-experimental designs to promote the end of two types of causal inference.
SOCIOL 476 Topics in Sociological Analysis (1): Advanced areas of graduate student interest. Content varies. May be repeated for credit with change of topic.
STAT 330-1,2 Applied Statistics for Research I, II (1)(1): First Quarter: Design of experiments and surveys, numerical summaries of data, graphical summaries of data, correlation and regression, probability, sample mean, sample proportion, confidence intervals and tests of significance, one and two sample problems, ANOVA. Second Quarter: Simple linear regression, inference, diagnostics, multiple regression diagnostics, autocorrelation, 1-way ANOVA, power and sample size determination, 2-way ANOVA, ANCOVA, randomized block designs.
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