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Spanish 185: Selected Topics in Peninsular Literature and Culture
4.00 Credits
University of California-Irvine
Selection of representative topics in Spanish and/or Portuguese literature and culture. Prerequisites: Spanish 3A and 3B. May be repeated for credit as topics vary. (VIII)
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Spanish 185 - Selected Topics in Peninsular Literature and Culture
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Spanish 186: Selected Topics in Latin American Literature and Culture
4.00 Credits
University of California-Irvine
Selection of representative topics in the history of Latin American literature and culture. Prerequisites: Spanish 3A and 3B. May be repeated for credit as topics vary.
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Spanish 186 - Selected Topics in Latin American Literature and Culture
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Spanish 187: Selected Topics in Spanish Linguistics
4.00 Credits
University of California-Irvine
Major topics in Spanish linguistics. Prerequisites: Spanish 3A and 3B. May be repeated for credit as topics vary.
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Spanish 187 - Selected Topics in Spanish Linguistics
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Spanish 190: Colloquium
4.00 Credits
University of California-Irvine
Specialized, discussion-based course dealing primarily with a research topic that reflects the instructor's current intellectual interests. Required oral presentation(s) and final research paper. Limited to 15 students. Prerequisites: Spanish 107 or 113A and junior or senior Spanish major or consent of instructor.
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Spanish 190 - Colloquium
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Spanish 199: Independent Study
3.00 Credits
University of California-Irvine
Research paper required. Prerequisite: consent of instructor. May be repeated for credit as topics vary.
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Spanish 199 - Independent Study
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Statistics 100A: B-C Foundations of Applied Statistics I,II,III
4.00 Credits
University of California-Irvine
Lecture, four hours; laboratory, three hours. 100A-B: Descriptive statistical concepts and techniques most widely used in social science research. Weekly laboratories employ computer graphics to investigate concepts. 100A: Pass/Not Pass only. 100C: Classical statistical inference, limited to simple random sampling or simple randomization designs. Characteristics of sampling distributions; bias, standard error, mathematical models, estimation, hypothesis testing. Same as Social Science 100A-B-C and Social Ecology 166A-B-C. ( V)
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Statistics 100A - B-C Foundations of Applied Statistics I,II,III
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Statistics 101: Introduction to Statistical Computing with SAS
4.00 Credits
University of California-Irvine
Lecture, two hours; laboratory, two hours. Data definition, data acquisition, and data management using SAS procedures and commands. Statistical procedures available from the SAS Statistical Software Package. SAS/GRAPH procedures for producing statistical graphics. Prerequisites: completion of one year of statistics, or concurrent enrollment in Statistics 100C, or consent of instructor. Pass/Not Pass only. Same as Social Ecology 166E and Social Science 101E.
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Statistics 101 - Introduction to Statistical Computing with SAS
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Statistics 110: Statistical Methods for Data Analysis I
4.00 Credits
University of California-Irvine
Lecture, three hours; laboratory, one hour. Introduction to statistical methods for analyzing data from experiments and surveys. Methods covered include two-sample procedures, analysis of variance, simple and multiple linear regression. Prerequisite: Statistics 7, or 120A-B-C, or knowledge of basic statistics. Concurrent with Statistics 201.
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Statistics 110 - Statistical Methods for Data Analysis I
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Statistics 111: Statistical Methods for Data Analysis II
4.00 Credits
University of California-Irvine
Lecture, three hours; laboratory, one hour. Introduction to statistical methods for analyzing data from surveys or experiments. Emphasizes application and understanding of methods for categorical data including contingency tables, logistic and Poisson regression, loglinear models. Prerequisite: Statistics 110 or equivalent. Concurrent with Statistics 202.
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Statistics 111 - Statistical Methods for Data Analysis II
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Statistics 112: Statistical Methods for Data Analysis III
4.00 Credits
University of California-Irvine
Lecture, three hours; laboratory, one hour. Introduction to statistical methods for analyzing longitudinal data from experiments and cohort studies. Topics covered include survival methods for censored time-to-event data, linear mixed models, non-linear mixed effects models, and generalized estimating equations. Prerequisite: Statistics 111 or equivalent. Concurrent with Statistics 203.
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Statistics 112 - Statistical Methods for Data Analysis III
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