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Course Criteria
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3.00 Credits
Therapy, assessment and consultation at the most advanced level. [1/22/1996]
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3.00 Credits
Therapy, assessment and consultation at the most advanced level. [1/27/1997]
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3.00 Credits
Advanced training in clinical practice, supervised by licensed clinical faculty, full-time or adjunct. [9/8/1998]
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3.00 Credits
Advanced training in Clinical Practice, supervised by licensed clinical faculty, full-time or adjunct. [9/8/1998]
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3.00 Credits
Topic to be chosen by student and faculty mentor. Prerequisite: completion of required courses. [1/24/2000]
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3.00 Credits
Basic mathematical methods commonly used in business are intro- duced, including linear and nonlinear equations, exponential and logarithmic functions, simple and compound interest, annuities, matrices and simultaneous equations, sets introduction to calculus. [9/4/1996]
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3.00 Credits
Slopes, and linear functions, other functions and models, limits and continuity, average rates of change, instantaneous rates of change in business and economics, differentiation techniques, maxima and minima values used in graphing and their application to business and economics; inventory costs and marginal analysis, and introduction to intergration. [9/1/2004]
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3.00 Credits
Course covers a broad range of basic statistical concepts commonly used in business. Topics include data collection and presentation, descriptive measures, sets, probability theory, random variables, mathematical expectations, discrete and continuous probability distributions (binomial, Poisson, and normal), sampling distributions, regression and correlation. [1/29/2001]
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3.00 Credits
Course covers the statistical techniques used in business to analyze data and make decisions based on the analysis. Topics considered are sampling methods, parameter and interval estimation, hypotheses testing, design of experiments, regression and correlation analysis, and time series analysis. [1/29/2001]
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3.00 Credits
Quantitative techniques essential to business decision making are explored. These topics include break-even analysis, inventory models, linear programming (graphic and simplex approach), duality, sensitivity, transportation assignment models, network problems and PERT/CPM. [1/29/2001]
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