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MATH? 410: Complex Analysis
3.00 Credits
University of Wisconsin-Green Bay
Algebra and geometry of complex numbers; analytic functions, elementary transformations, integration, Taylor and Laurent series, contour integration, residues, conformal mapping. P: Math 209. Periodicity: Offered fall even only 3 units min / 3 units max, Lecture
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MATH? 410 - Complex Analysis
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MATH? 425: Dynamical Systems
3.00 Credits
University of Wisconsin-Green Bay
Fundamental concepts and techniques of discrete and continuous dynamical systems; asymptotic behavior, structural stability, elementary bifurcations, strange attractors, fractals, chaos. Applications to physical and biological systems. P: Math 209 and 320; and 305 or conc enr. Periodicity: Offered spring even only 3 units min / 3 units max, Lecture
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MATH? 425 - Dynamical Systems
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MATH? 430: Design of Experiments
4.00 Credits
University of Wisconsin-Green Bay
Statistical theory and practice underlying the design of scientific experiments, and methods of analysis. Replication, randomization, error, linear models, least squares, crossed and nested models, blocking, factorial experiments, Latin squares, confounding, incomplete blocks, split-plots. P: Math 202; and Math 260 or Bus Adm 215. Periodicity: Offered spring even only 4 units min / 4 units max, Lecture
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MATH? 430 - Design of Experiments
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MATH? 431: Multivariate Statistical Analysis
4.00 Credits
University of Wisconsin-Green Bay
Principles and practice in the analysis of multivariate data. Correlation, partial correlation, principle components, factor analysis discriminate functions, canonical correlation, cluster analysis, multidimensional scaling. Emphasis on computer analysis of actual data. P: Math 202 and 320; and Math 260 or Bus Adm 215. Periodicity: Offered spring odd only 4 units min / 4 units max, Lecture
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MATH? 431 - Multivariate Statistical Analysis
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MATH? 450: Theory of Algorithms
3.00 Credits
University of Wisconsin-Green Bay
Design, analysis and comparison of algorithms; divide and conquer techniques, greedy method, dynamic programming and graph searching. Applications to profit maximization with constraints, graph coloring, traveling salesman problem and others. P: Comp Sci 257 and 242 and Math 202, all with at least a C grade. Periodicity: Offered fall odd only 3 units min / 3 units max, Lecture
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MATH? 450 - Theory of Algorithms
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MATH? 467: Applied Regression Analysis
3.00 Credits
University of Wisconsin-Green Bay
Techniques for fitting linear regression models are developed and applied to data. Topics include simple linear regression, multivariate regression, curvilinear regression and linearizable models. P: Math 260 or Bus Adm 215; and Math 202 and 320; REC: knowledge of Excel. Periodicity: Offered fall only Writing Emphasis: Writing Emphasis 3 units min / 3 units max, Lecture
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MATH? 467 - Applied Regression Analysis
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MATH? 492: Special Topics in Mathematics
3.00 Credits
University of Wisconsin-Green Bay
This course brings together students and professors who have a mutual interest in some topic not otherwise available among the usual mathematics and statistics offerings. No Prerequisites Course is repeatable for credit. 1 units min / 4 units max, Lecture
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MATH? 492 - Special Topics in Mathematics
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MATH? 497: Internship
3.00 Credits
University of Wisconsin-Green Bay
Supervised practical experience in an organization or activity appropriate to a student's career and educational interests. Internships are supervised by faculty members and require periodic student/faculty meetings. P: jr st. Course is repeatable for credit. Periodicity: Offered every fall and spring
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MATH? 497 - Internship
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MATH? 499: Travel Course
1.00 Credits
University of Wisconsin-Green Bay
Travel courses are conducted to various parts of the world and are led by one or more faculty members. May be repeated to different locations. P: cons of instr & prior trip arr & financial deposit. Course is repeatable for credit. General Education: World Culture Study Abroad: Travel Course 1 units min / 6 units max, Field Experience
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MATH? 499 - Travel Course
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MATH? 555: Applied Mathematical Optimization
3.00 Credits
University of Wisconsin-Green Bay
Analytical and numerical optimization techniques; linear, nonlinear, integer, and dynamic programming. Techniques applied to problems of water, forest, air and solid-waste management. P: gr st. Periodicity: Offered fall even only 3 units min / 3 units max, Lecture
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MATH? 555 - Applied Mathematical Optimization
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