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Course Criteria
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1.00 - 3.00 Credits
Prerequisites: Consent of instructor and department chair. Individual projects or directed readings with a professor of the student's choice. May be repeated to a maximum of 6 units. (Requires tutorial meetings and demonstrations of progress as defined in a written proposal.)
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1.00 Credits
Repeatable credits include previous credits from SAR 200.
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1.00 Credits
Prerequisite: Participation/competition in sport clubs/leadership. Enrollment subject to consent of instructor or Director of Sports, Recreation and Leadership. Athletes enrolled who fail to qualify for squad must withdraw from course. It is the student's responsibility to contact teams regarding practice times and eligibility requirements. May be repeated to a maximum of 4 units, including previously earned credits from SAR 210. Credit/No Credit grading only.
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3.00 Credits
Prerequisites: MATH 222 or 224. Frequency interpretation of probability. Axioms of probability theory. Discrete probability and combinatorics. Random variables. Distribution and density functions. Moment generating functions and moments. Sampling theory and limit theorems. Letter grade only (A-F). (Lecture 3 hrs.) Same course as MATH 380.
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3.00 Credits
Prerequisites: MATH 247, and MATH 380 or STAT 380. Estimation and hypothesis testing. Maximum likelihood and method of moments estimation. Efficiency, unbiasedness, and asymptotic distribution of estimators. Neyman-Pearson Lemma. Goodness-of-fit tests. Correlation and regression. Experimental design and analysis of variance. Nonparametric methods. Letter grade only (A-F). (Lecture 3 hrs.) Not open for credit to students with credit in MATH 381.
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3.00 Credits
Prerequisites: MATH 247 and MATH/STAT 380, prerequisite or corequisite STAT 381. (Undergraduates enroll in STAT 410; graduates enroll in STAT 510.) Simple linear regression: estimation and inference, prediction, analysis of residuals, detection of outliers, use of transformations. Multiple linear regression: influence diagnostics, multi-collinearity, selection of variables, simultaneous estimation and inference, validation techniques. Statistical software for data analysis used. Letter grade only (A-F). (Lecture 3 hrs.) Not open for credit to students with credit in MATH 480 or 590.
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3.00 Credits
Prerequisites: STAT 381, prerequisite or corequisite STAT 410. (Undergraduates register in STAT 450; graduates enroll in STAT 550.) Discriminate analysis, principal components, factor analysis, cluster analysis, logistic regression, canonical correlation, multidimensional scaling, and some nonlinear techniques. Statistical software used. Letter grade only (A-F). (Lecture 3 hrs.) Not open for credit to students with credit in MATH 483 or 593.
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3.00 Credits
Prerequisites: STAT 381 or consent of instructor. Topics include: Statistical analysis including extraction, presentation of data in graphical form, creation, modification of datasets, interpretation of output, writing of reports. Provides SAS programming techniques for aforementioned topics preparation for SAS base certification. Letter grade only (A-F). (Lecture 3 hrs.) Not open for credit to students with credit in MATH 489.
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3.00 Credits
Prerequisites: MATH 247, and MATH 380 or STAT 380. Further topics in probability. Markov processes. Renewal theory. Random walks. Queueing theory. Poisson processes. Brownian motion. Letter grade only (A-F). (Lecture 3 hrs.) Not open for credit to students with credit in MATH 382.
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3.00 Credits
Prerequisites: STAT 381 or consent of instructor. Statistical techniques applied to risk management. Expected utility theory, individual risk models, compound Poisson distributions and processes, ruin probability and first surplus, stop-loss and proportional reinsurance, statistical survival distributions and life tables, life annuity, actuarial present values, and premiums determination. Letter grade only (A-F). (Lecture 3 hrs.) Not open for credit to students with credit in MATH 484.
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