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Course Criteria
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3.00 Credits
Examines the applications of quantitative analysis to the formulation and solution of managerial problems. You will study decision theory, linear programming, inventory theory, network diagramming, queuing analysis, simulation, and computer applications. Prerequisites: MATH 30 and MATH 40.
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3.00 Credits
Introduces various topics in discrete mathematics. Topics include codes and coding, cryptology, mathematical induction, recursion, algorithms, set theory, relations and functions, combinatorics, graphs, and Boolean algebra and trees. Prerequisite: MATH 30.
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1.00 - 3.00 Credits
Address significant, topical and practical problems, issues and theories in mathematics. Topics will be selected by the department coordinator. This course may be taken more than once, provided the same topic is not repeated. Prerequisite: consent of the department. Prerequisites will vary based on topic.
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1.00 - 3.00 Credits
Provides individual study of selected topics under supervision of a faculty member. You are limited to one directed study course per trimester. Prerequisite: consent of the department.
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3.00 Credits
Continues MATH 10. Examines the concepts of equations (linear, quadratic, polynomial, rational and algebraic) and inequalities (linear and quadratic), linear and nonlinear systems, functions and graphs. Prerequisite: Grade of C- or better in MATH 10 (or its equivalent) or satisfactory results on the Mathematics Placement Exam. See Math Placement notation above.
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3.00 Credits
Examines the importance data analysis plays in managerial decision making. Real world data using spreadsheet applications and addins will be used throughout the course. Course topics include data analysis, descriptive and inferential statistics, regression analysis, model building and time series modeling. Prerequisite: MATH 20.
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3.00 Credits
Introduces the concepts and techniques of advanced algebra including algebra of functions, polynomial, rational, exponential and logarithmic functions, and linear and nonlinear systems. Prerequisite: Grade of C- or better in MATH 20 (or its equivalent) or satisfactory results on the Mathematics Placement Exam. See Math Placement notation above. Credit: 3 Units Offered: Summer 2006, Fall 2006, Spring 2007, Summer 2007
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3.00 Credits
Provides a second course in statistics. Techniques and applications of statistical inference are featured. You will study advanced methods in estimation, hypothesis testing, inference based on two samples, regression analysis, factor analysis, model building, forecasting, ANOVA, nonparametric techniques and chi-square. Statistical software is extensively used to develop actual data samples for analysis. Prerequisite: MATH 30 and MATH 40; prerequisite/corequisite: ITM 325.
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1.00 - 3.00 Credits
Address significant, topical and practical problems, issues and theories in mathematics. Topics are compiled and selected by the department coordinator. This course may be taken more than once, provided the same topic is not repeated. Prerequisite: consent of the department. Other prerequisites will vary based on topic.
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1.00 - 3.00 Credits
Provides an opportunity for the advanced student to study in a focused area under the direction of a faculty member. Only one directed study course may be taken for credit toward a master's degree. Prerequisite: consent of the department. Prerequisites will vary based on topic.
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