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Course Criteria
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3.00 Credits
Introduction to those topics in advanced calculus and linear algebra needed by statistics majors. Infinite sequences and series. Orthogonal matrices, projections, quadratic forms. Extrema of functions of several variables. Multiple integrals, including convolution and nonlinear coordinate changes. Pre: MATH 1114, MATH 1205, MATH 1206, MATH 2224. (3H,3 Credits)
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3.00 Credits
Introduction to statistical methodology with emphasis on engineering applications: probability distributions, estimation, hypothesis testing, regression, analysis of variance, quality control. Only one of the courses 3704, 4604, 4705, and 4714 may be taken for credit. Knowledge of WIN required. I, II. Pre: MATH 1206. (3H,3 Credits)
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3.00 Credits
Basic concepts of probability and statistics with emphasis on engineering applications. 4705: Probability, random variables, sampling distributions, estimation, hypothesis testing, simple linear regression correlation, one-way analysis of variance. 4706: Multiple regression, analysis of variance, factorial and fractional experiments. Only one of the courses 3704, 4604, 4705, and 4714 may be taken for credit. Knowledge of WIN/MAC required. I, II, III. Pre: MATH 2224 for 4705; 4705 or 4105 for 4706. (3H,3 Credits)
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3.00 Credits
Introduction to the concepts of probability, random variables, estimation, hypothesis testing, regression, and analysis of variance with emphasis on application in electrical engineering. Only one of the courses 3704, 4604, 4705, and 4714 may be taken for credit. I, II, III. Pre: MATH 2224. (3H,3 Credits)
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3.00 Credits
Probability, random variables, marginal and conditional distributions, mathematical expectations, sampling distributions, properties of estimators, maximum likelihood and least squares estimation, confidence intervals, hypothesis tests, linear regression. Emphasis on preparation for graduate study in econometrics. I Pre: 3006, MATH 2015. (3H,3 Credits)
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3.00 Credits
Economic applications of mathematical and statistical techniques: regression, estimators, hypothesis testing, lagged variables, discrete variables, violations of assumptions, simultaneous equations. II Pre: (3005 or 3604), (AAEC 1006). (3H,3 Credits)
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1.00 Credits
Preparation of a portfolio of professional quality statistical reports, using the student's term reports from three upper division applied statistics courses. Student will choose a faculty mentor to work with in preparation of the portfolio. Statistics major with Senior standing. Pass/Fail only. I, II, III, IV. Pass/Fail only. (1H,1 Credits)
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3.00 Credits
Pass/Fail only. Variable credit course.
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3.00 Credits
Variable credit course.
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3.00 Credits
Variable credit course.
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