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Unformatted text preview: UNIVERSITY OF CENTRAL FLORIDA DEPARTMENT OF ECONOMICS Course/Section: ECO 3401-0R01, Quantitative Tools I, 3 credit hours. Term: Fall 2011. This class section is delivered via lecture capture (previously video streaming) over the WWW. Students are not required to physically attend the weekly class meetings; however, students may attend any class meeting of the live origination segment of this class which meets in BA 107 on Tuesdays and Thursdays from 4:30 5:45 pm on a first come basis. Please note: students may view lecture capture classes at: http://www.bus.ucf.edu/video/ should there be problems logging on to WebCourses during the week of add/drop. For more CBA lecture capture information, go to http://www.bus.ucf.edu/video/ Classroom BA 107 Video Viewing Students will need access to a computer with audio capabilities, a high- speed (broadband) internet connection (cable/DSL), and a Windows Media Player for a PC or Mac. From WebCourses homepage click on Lecture Captures to view class. Instructor: Mr. Bob Potter Office: BA2, 302W Office Hours: Tue. & Thurs., 1:30 4:00 PM, or by appointment Phone: (407) 823-2886 E-mail address: Please use the WebCourses e-mail tool to contact me. Course Description: This is an introductory course of basic mathematical and statistical tools for analyzing economic and business problems. It will cover a broad range of topics so be prepared for a rapid pace. Prerequisites: ECO 2023 and MAC 1105 or MAC 1140. Text: Finite Mathematics and Calculus with Applications, UCF Custom Edition , by Lial, Greenwell, and Ritchey. Addison Wesley. ISBN: 0-558-35141-7 (Includes MyMathLab access code) Note: A less expensive e-text is also available through MyMathLab when you register at CourseCompass.com. Details will be explained in the first class meeting. Learning Objectives: Upon successful completion of ECO 3401, the student will: solve a linear system of equations and utilize basic matrix algebra methods, use exponential and logarithmic functions as well as basic financial calculations, use the appropriate rules to derive the derivative of a function, 1 interpret derivatives as slopes, rates of change, and marginal concepts, perform unconstrained single-variate optimization, and determine the maximum/minimum values of a function using the first-derivative or second-derivative test, calculate the mean, median, mode, variance, and standard deviation of a data set, demonstrate an understanding of the basic concepts of unconditional, conditional, and joint probabilities and the relationships between them for dependent and independent events, determine the probability distribution, expected value, variance, and standard deviation of a random variable, standardize a normally distributed random variable and recognize the probabilities associated with intervals 1, 2, and 3 standard deviations around the mean of a normal probability distribution....
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