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Course Criteria
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3.00 Credits
Data description, probability, discrete and continuous random variables, expectation, special distributions, statements of law of large numbers and central limit theorem, sampling distributions, theory of point estimators, confidence intervals, hypothesis tests, regression (time permitting). Cross-listed with STAT 341. Prerequisite: MATH 152. (4)
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3.00 Credits
Continuation of MATH 341. Topics may include: joint and conditional distributions, correlation, functions of random variables, moment generating functions, inference in regression and one-way ANOVA, Bayesian and non-parametric inference, convergence of distributions. Cross-listed with STAT 342. Prerequisite: MATH 341. (4)
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3.00 Credits
Linear and multiple regression with inference and diagnostics; analysis of variance; experimental design with randomization and blocking. Substantial use of statistical software and emphasis on exploratory data analysis. Cross-listed with STAT 348. Prerequisites: MATH 341 or consent of instructor. (4)
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3.00 Credits
An introduction to differential equations emphasizing the applied aspect. First and second order differential equations, systems of differential equations, power series solutions, nonlinear differential equations, numerical methods. Prerequisite: MATH 253. (4)
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3.00 Credits
Numerical theory and application in the context of solutions of linear, nonlinear, and differential equations, matrix theory, interpolation, approximations, numerical differentiation and integration and Fourier transforms. Prerequisites: MATH 152 and CSCE 144. (4) applications of mathematics, to enhance enjoyment of and self-confidence in mathematics, and to sharpen critical thought in mathematics. Topics selected by the instructor. Prerequisite: PLU math entrance requirement. (4)
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3.00 Credits
Designed to improve advanced problem solving skills. A goal is participation in the Putnam Competition. Pass/Fail only. May be taken more than once for credit. Prerequisites: MATH 152 or consent of instructor. (1)
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1.00 - 4.00 Credits
ST in Mathematics
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3.00 Credits
This non-GUR course introduces students to the mathematics underpinning financial investment in the presence of uncertainty. Students will investigate the employ probability models to assign values to individual financial instruments and to portfolios over short and long term time frames. both analytic solutions and numerical solutions via software will be developed. Case studies will play a role in the course. Prerequisites: MATH 152, 341 and 342; ECON 101 or 301; BUS 335; or consent of the instructor (4)
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3.00 Credits
The algebra of axiomatically defined objects, such as groups, rings and fields with emphasis on theory and proof. Prerequisites: MATH 317, 331. (4)
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3.00 Credits
Methods and materials in secondary school math teaching. Basic mathematical concepts; principles of number operation, relation, proof, and problem solving in the context of arithmetic, algebra, and geometry. Cross-listed with EDUC 446. Prerequisites: MATH 253 or 331. (4)
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