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Course Criteria
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3.00 Credits
Variable credit course.
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3.00 Credits
Variable credit course. X-grade allowed.
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3.00 Credits
Variable credit course.
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3.00 Credits
Introduction to world and American ethnic and indigenous cultures and to social constructions of human and group identity, nationalism and extreme ethno-nationalism. Music, dance, film, art, ceremonial rituals and other multimedia forms of creative or symbolic expression, supplement readings and lectures. Multidisciplinary exploration of collective conceptions of cultural differences. (3H,3 Credits).
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2.00 Credits
Introduction to computer workstations, Unix command language, common desktop environment. Computer networking concepts. Data management and presentation in the Statistical Analysis System (SAS), including data input, data manipulation, graphs, macros. Co: 3005. (1H,2L,2 Credits)
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3.00 Credits
Pass/Fail only. Variable credit course.
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3.00 Credits
3005: Basic statistical methodology: exploratory data techniques, estimation, inference, comparative analysis by parametric, nonparametric, and robust procedures. Analysis of variance (one-way), multiple comparisons, and categorical data. 3006: Analysis of variance, simple and multiple, linear and nonlinear regression, analysis of covariance. Use of MINITAB. WIN/MAC. I,II,III Pre: MATH 1206 for 3005; 3005 for 3006. (3H,3 Credits)
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3.00 Credits
Probability theory, including set theoretic and combinatorial concepts; in-depth treatment of discrete random variables and distributions, with some introduction to continuous random variables; introduction to estimation and hypothesis testing. Pre: MATH 1206 or MATH 2015 or MATH 1526. (3H,3 Credits) I,II.
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3.00 Credits
Statistical methodology based on ranks, empirical distributions, and runs. One and two sample tests, ANOVA, correlation, goodness of fit, and rank regression, R-estimates and confidence intervals. Comparisons with classical parametric methods. Emphasis on assumptions and interpretation. WIN/MAC, even years. I Pre: 3006, 4106, 4604, 4706. (3H,3 Credits)
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3.00 Credits
Descriptive and inferential statistics in a biological context. 3615: Fundamental principles, one- and two-sample parametric inference, simple linear regression, frequency data. 3616: One- and two-way ANOVA, multiple regression, correlation, nonparametrics, using the MINITAB computer package. I,II,III (3H,3 Credits)
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