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Course Criteria
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4.00 Credits
Prerequisite: MAT 261 with a grade of "C" or higher. Covers sets, induction, algorithms, recursion, matrices, relations, functions, digraphs, partially ordered sets, lattices, Boolean algebra, switching circuits, trees and combinatorial analysis. (*once every two years)
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4.00 Credits
No course description available.
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4.00 Credits
The main objective of this course is to provide students with an introduction to probability and its applications. Basic ideas of probability and random variables, discrete probability functions, continuous probability densities, joint distributions, transformation of random variables, moments, and moment generating functions of random variables, and limit theorems will be discussed.
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4.00 Credits
This course provide an understanding of the fundamental concepts of financial mathematics. Topics covered are: Interest Rate Measurement, Time Value of Money, Annuities, Loan Payment, Bond, General Cash Flows and Portfolios (yield curves, rates of return, and measures of duration and convexity), Cash Flow Matching and Immunization, and Interest Rate Swaps.
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4.00 Credits
No course description available.
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4.00 Credits
This course provides the basic understanding of regression analysis and its application in real life. The course focuses on both theory and application of simple and multiple linear regression, and logistic regression. Topics covered are: correlation, simple and multiple linear regression, model assumptions, parameter estimation, inference on regression model and parameters, regression diagnostic, model selection, multicollinearity, linear models with qualitative predictors, logistic regression, polynomial regression, and introduction to time series analysis. Students are required to analyze real-life datasets using statistical software.
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4.00 Credits
Prerequisite: MAT 262 and 299. Coverage includes complex numbers, analytic functions, elementary functions, integrals, series, residues and poles. (*once every two years)
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2.00 Credits
Actuarial Mathematics P is intended for, but not limited to actuarial science majors. The course covers the basic principles of insurance and risk management and introduces students to the actuarial profession. Students learn most of the content of Society of Actuaries (SOA) Exam P in Probability course. This course, in particular, has a problem-solving approach, where probability theory is applied to solve problems related to quantitative assessment of risk and prepare students for SOA Exam P.
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2.00 Credits
Actuarial Mathematics FM is intended for, but not limited to actuarial science majors. Students learn most of the content of the Society of Actuaries (SOA) Exam FM in Financial Mathematics course. This course, in particular, has a problem-solving approach, where mathematics is applied to solve problems related to topics of interest theory, and prepares students for SOA Exam FM.
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4.00 Credits
Covers the theory of groups, rings and fields.
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