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Course Criteria
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4.00 Credits
Prerequisite: ACSC 414-HONORS STATUS; Cross-listed: See ACSC 416; ACSC 414-Honors Status
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3.00 Credits
Prerequisite: ACSC 371, ACSC 414 This course is the first part of the sequential courses in actuarial modeling to develop the student’s knowledge of the theoretical basis of actuarial models and the application of those models to insurance and other financial risks. Topics include survival models, life tables, mortality rates, life insurance, life annuities, and benefit premiums. This course combine with ACSC 422 covers materials for students to prepare Actuarial Professional exam MLC.
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3.00 Credits
Prerequisite: ACSC 421, Minimum grade C- This course is the second part of the sequential courses in actuarial modeling to develop the student’s knowledge of the theoretical basis of actuarial models and the application of those models to insurance and other financial risks. Topics include benefits reserves, multiple life functions, multiple decrement models, frequency and severity models, Risk Theory. This course combine with ACSC 421 covers materials for students to prepare Actuarial Professional exam MLC.
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1.00 - 4.00 Credits
Cooperative education courses may be taken before a students major, minor and General Education requirements are completed, but they are not counted as part of those requirements. Note: . Cross-listed: See MATH 293/393, See ACSC 293
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3.00 Credits
Prerequisite: ACSC 415 This is a capstone seminar on financial mathematics. It prepares student for the Actuarial Examination FM of the Society of Actuaries and the Casualty Actuaries Society using theory of interest. A variety of problem-solving situations will be discussed. BA-35 or BA-35 II calculators on the exam FM will be used. The students must be prepared to participate actively in the problem solving processes. Note: This course is for actuarial science majors only.
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3.00 Credits
Prerequisite: Pass exam P, exam FM Actuarial Seminar III for exam MLC
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3.00 Credits
Prerequisite: Pass exam P, exam FM Actuarial Seminar IV for exam C
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3.00 Credits
Prerequisite: ACSC 371 or MATH 371, Minimum grade C This course covers the following topics, Evaluation data for estimation and goodness-0f-fit to models, least square estimates of parameters, Single linear regression, multiple linear regressions, Hypothesis testing, confidence intervals in linear regression models. Topics also include Testing of models, data analysis and appropriateness of models, Linear time series models, Moving average, autoregressive and/or ARIMA models, Estimation, data analysis and forecasting with time series models, Forecast errors and confidence intervals. A presentation of one project is required for the course. Note: This is the VEE course for Society of Actuaries.
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3.00 Credits
Prerequisite: ACSC 505 This course covers the materials on the professional actuarial exam C (it was exam 4). Topic includes Construction of Empirical Models, Estimate failure time and loss distributions using Kaplan-Meier estimator, including approximations for large data sets, Nelson-Aalen estimator. Kernel density estimators, Estimate the variance of estimators and confidence intervals for failure time and loss distributions, Estimate failure time and loss distributions with the Cox proportional hazards model and other basic models with covariates. The course will also cover the topics, Unbiasedness, Consistency, Mean squared error, Estimate the parameters of failure time and loss distributions using, Maximum likelihood, Method of moments, Percentile matching, Bayesian procedures, Estimate the parameters of failure time and loss distributions with censored and/or truncated data. A presentation of one project is required for the course. Note: This course covers a part of Actuarial Exam C.
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3.00 Credits
Prerequisite: ACSC 521 This course introduces the students to risk theory as it applies, under specified assumptions, to insurance. Topics include individual and collective risk models for single and extended periods, expense loaded premiums, liabilities and asset shares, Markov chains.
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