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{"sheet":"ClassesToTake","index":0,"n_rows":12,"n_cols":4,"rows_kept":12,"cut":false,"hidden":false,"merged":[]}
["These are the courses you need to take",null,null,"These are the courses you have chosen to take"]
["STAT 123 : Introduction to R Programming. (1.5:1.5:1.5)(Credit Hours:Lecture Hours:Lab Hours)",null,null,"STAT 151 : Introduction to Bayesian Statistics. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 124 : SAS Base Programming Skills. (1.5:1.5:1.5)(Credit Hours:Lecture Hours:Lab Hours)",null,null,"STAT 234 : Methods of Survey Sampling. (3:3:2)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 223 : Applied R Programming. (1.5:1.5:1.5)(Credit Hours:Lecture Hours:Lab Hours)",null,null,"STAT 370 : Statistical Theory for Actuaries. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 224 : Applied SAS Programming. (1.5:1.5:1.5)(Credit Hours:Lecture Hours:Lab Hours)",null,null,"STAT 424 : Statistical Computing. (3:3:2)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 230 : Analysis of Variance. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)",null,null,"ECON 380 : Intermediate Price Theory 1. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 240 : Discrete Probability. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)",null,null,"STAT 497R : Introduction to Statistical Research. (.5-3:0:6)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 290 : Communication of Statistical Results. (1:1:1)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 330 : Introduction to Regression. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 340 : Inference. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["ECON 110 : Economic Principles and Problems. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 274 : Theory of Interest. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]

{"sheet":"Requirements","index":1,"n_rows":508,"n_cols":2,"rows_kept":508,"cut":false,"hidden":false,"merged":[]}
["1. No more than three hours of credit below C- is allowed in major courses."]
[]
["2. Students must pass Exam P of the Society of Actuaries (SOA) jointly administered as Exam 1 by the Casualty Actuarial Society (CAS) before declaring an actuarial science major."]
[]
["3. Complete the following preparation core courses:"]
["MATH 112 : Calculus 1. (4:5:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["MATH 112 : Calculus 1. (4:5:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["OFFERED:","Honors also."]
["WHEN TAUGHT:","Fall; Winter; Spring; Summer"]
["DESCRIPTION: ","Differential and integral calculus: limits; continuity; the derivative and applications; extrema; the definite integral; fundamental theorem of calculus; L'Hopital's rule."]
[]
["Course Outcomes"]
["         "]
[": Honors Calculus 1."]
["Course Outcomes"]
["MATH 113 : Calculus 2. (4:5:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["MATH 113 : Calculus 2. (4:5:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["OFFERED:","Honors also."]
["WHEN TAUGHT:","Fall; Winter; Spring; Summer"]
["PREREQUISITE:","Math 112."]
["DESCRIPTION: ","Techniques and applications of integration; sequences, series, convergence tests, power series; parametric equations; polar coordinates."]
[]
["Course Outcomes"]
[]
["4. Complete one course from the following:"]
["STAT 121 : Principles of Statistics. (3:3:1)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 121 : Principles of Statistics. (3:3:1)(Credit Hours:Lecture Hours:Lab Hours)"]
["OFFERED:","Independent Study also; Honors also."]
["WHEN TAUGHT:","Fall; Winter; Spring; Summer"]
["RECOMMENDED:","MATH 110 or equivalent."]
["DESCRIPTION: ","Stemplots, boxplots, histograms, scatterplots; central tendency, variability; confidence intervals and hypothesis testing involving one and two means and proportions; contingency tables, simple linear regression."]
[]
["Course Outcomes"]
["         "]
[": Honors Principles of Statistics."]
["Course Outcomes"]
["STAT 151 : Introduction to Bayesian Statistics. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 151 : Introduction to Bayesian Statistics. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["WHEN TAUGHT:","Fall; Spring"]
["PREREQUISITE:","MATH 112"]
["RECOMMENDED:","Concurrent enrollment in MATH 113."]
["DESCRIPTION: ","The scientific method; conditional probability; Bayes' Theorem; conjugate distributions: Beta-binomial, Poisson-gamma, normal-normal; Gibbs sampling."]
[]
["Course Outcomes"]
["STAT 201 : Statistics for Engineers and Scientists. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 201 : Statistics for Engineers and Scientists. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["WHEN TAUGHT:","Fall; Winter; Summer"]
["PREREQUISITE:","MATH 112; or MATH 119"]
["DESCRIPTION: ","The scientific method; probability, random variables, common discrete and continuous random variables, central limit theorem; confidence intervals and hypothesis testing; completely randomized experiments; factorial experiments."]
[]
["Course Outcomes"]
["STAT 301 : Statistics and Probability for Secondary Educators. (3:3:2)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 301 : Statistics and Probability for Secondary Educators. (3:3:2)(Credit Hours:Lecture Hours:Lab Hours)"]
["WHEN TAUGHT:","Fall; Summer"]
["PREREQUISITE:","MATH 113"]
["DESCRIPTION: ","Statistics and probability, emphasizing secondary-specific curriculum. Principles of counting, probability distributions, density functions, graphical methods, descriptive and inferential statistics, computer package."]
[]
["Course Outcomes"]
[]
["Note: Students who have passed the AP statistics exam or an introductory statistics course should not take Stat 121."]
[]
["5. Complete the following statistics core courses:"]
["STAT 123 : Introduction to R Programming. (1.5:1.5:1.5)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 123 : Introduction to R Programming. (1.5:1.5:1.5)(Credit Hours:Lecture Hours:Lab Hours)"]
["WHEN TAUGHT:","Fall; Winter"]
["PREREQUISITE:","STAT 121; or STAT 151; or STAT 201"]
["DESCRIPTION: ","Base R programming skills, introductory statistical analysis and graphics, simulation of introductory statistical concepts."]
[]
["Course Outcomes"]
["STAT 124 : SAS Base Programming Skills. (1.5:1.5:1.5)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 124 : SAS Base Programming Skills. (1.5:1.5:1.5)(Credit Hours:Lecture Hours:Lab Hours)"]
["WHEN TAUGHT:","Spring"]
["PREREQUISITE:","STAT 121; or STAT 151; or STAT 201; or Stat 301."]
["DESCRIPTION: ","Base SAS programming skills, introductory statistical analysis and graphics, simulation of introductory statistical concepts."]
[]
["Course Outcomes"]
["STAT 223 : Applied R Programming. (1.5:1.5:1.5)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 223 : Applied R Programming. (1.5:1.5:1.5)(Credit Hours:Lecture Hours:Lab Hours)"]
["WHEN TAUGHT:","Fall; Winter"]
["PREREQUISITE:","STAT 123"]
["RECOMMENDED:","Concurrent enrollment in Stat 124."]
["DESCRIPTION: ","Advanced R programming skills; communicate with other packages and programs."]
[]
["Course Outcomes"]
["STAT 224 : Applied SAS Programming. (1.5:1.5:1.5)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 224 : Applied SAS Programming. (1.5:1.5:1.5)(Credit Hours:Lecture Hours:Lab Hours)"]
["WHEN TAUGHT:","Fall; Winter; Spring"]
["PREREQUISITE:","STAT 124"]
["RECOMMENDED:","Concurrent enrollment in Stat 123."]
["DESCRIPTION: ","Advanced SAS programming skills, advanced DATA step programming, ODS, simple MACRO programs, Proc SQL, Proc REPORT, communicate with other packages and programs."]
[]
["Course Outcomes"]
["STAT 230 : Analysis of Variance. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 230 : Analysis of Variance. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["WHEN TAUGHT:","Fall; Winter; Spring"]
["PREREQUISITE:","STAT 121; or STAT 151; or STAT 201; or Stat 301."]
["RECOMMENDED:","Concurrent enrollment in MATH 112."]
["DESCRIPTION: ","Scientific method, statistical thinking, sources of variation, completely randomized design, ANOVA, power and sample size considerations, multiple testing, randomized complete blocks, factorial designs, interactions. Introduction to statistical software."]
[]
["Course Outcomes"]
["STAT 240 : Discrete Probability. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 240 : Discrete Probability. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["WHEN TAUGHT:","Fall; Winter; Summer"]
["PREREQUISITE:","STAT 121; or STAT 151; or STAT 201; or Stat 301."]
["DESCRIPTION: ","Set theory; discrete probability; conditional probability; finite sample spaces; discrete random variables (pdf, cdf, moments)."]
[]
["Course Outcomes"]
["STAT 290 : Communication of Statistical Results. (1:1:1)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 290 : Communication of Statistical Results. (1:1:1)(Credit Hours:Lecture Hours:Lab Hours)"]
["WHEN TAUGHT:","Fall; Winter"]
["PREREQUISITE:","STAT 230 & WRTG 150; or STAT 230 & PHIL 150; or STAT 230 & ENGL 115"]
["DESCRIPTION: ","Introduction to writing within the discipline including the effective use of graphics, tables, and equations. Resources and guidelines for writing and presenting statistical results."]
[]
["Course Outcomes"]
["STAT 330 : Introduction to Regression. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 330 : Introduction to Regression. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["WHEN TAUGHT:","Fall; Winter"]
["PREREQUISITE:","STAT 230 & MATH 112"]
["RECOMMENDED:","Stat 123 and Stat 124; MATH 113 or concurrent enrollment."]
["DESCRIPTION: ","Regression, transformations, residuals, indicator variables, variable selection, logistic regression, time series, observational studies, statistical software."]
[]
["Course Outcomes"]
["STAT 340 : Inference. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 340 : Inference. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["WHEN TAUGHT:","Fall; Winter"]
["PREREQUISITE:","STAT 240 & MATH 113"]
["RECOMMENDED:","Stat 123 and Stat 124."]
["DESCRIPTION: ","Continuous random variables (pdf, cdf, moments); sampling distributions; Central Limit Theorem; frequentist inference (estimation, intervals); Bayesian inference (estimation, intervals); simulation."]
[]
["Course Outcomes"]
[]
["6. Complete the following:"]
["ECON 110 : Economic Principles and Problems. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["ECON 110 : Economic Principles and Problems. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["OFFERED:","Honors also."]
["WHEN TAUGHT:","Fall; Winter; Spring; Summer"]
["DESCRIPTION: ","Strengths and weaknesses of markets and governments for solving problems of social organization or conflict, including policy response to inflation, unemployment, pollution, poverty, growth, etc."]
["NOTE:","This course is part of a GE Mosaic. See ge.byu.edu/mosaic-list for more information."]
[]
["Course Outcomes"]
["         "]
[": Honors Economic Principles and Problems."]
["Course Outcomes"]
["STAT 274 : Theory of Interest. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 274 : Theory of Interest. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["WHEN TAUGHT:","Fall"]
["PREREQUISITE:","MATH 112"]
["RECOMMENDED:","Pass SOA Exam P."]
["DESCRIPTION: ","Theory of interest, annuities, amortization, financial derivatives. Prepares for SOA Exam FM."]
[]
["Course Outcomes"]
[]
["7. Complete 18 credit hours from the following two lists, with a minimum of 12 hours from list A:"]
["a. Complete 12 hours from the following:"]
["STAT 151 : Introduction to Bayesian Statistics. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 151 : Introduction to Bayesian Statistics. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["WHEN TAUGHT:","Fall; Spring"]
["PREREQUISITE:","MATH 112"]
["RECOMMENDED:","Concurrent enrollment in MATH 113."]
["DESCRIPTION: ","The scientific method; conditional probability; Bayes' Theorem; conjugate distributions: Beta-binomial, Poisson-gamma, normal-normal; Gibbs sampling."]
[]
["Course Outcomes"]
["STAT 234 : Methods of Survey Sampling. (3:3:2)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 234 : Methods of Survey Sampling. (3:3:2)(Credit Hours:Lecture Hours:Lab Hours)"]
["WHEN TAUGHT:","Fall"]
["PREREQUISITE:","STAT 121; or STAT 151; or STAT 201; or Stat 301."]
["DESCRIPTION: ","Sampling frames; questionnaire design; simple random, systematic, stratified, and cluster sampling methods; comparing domain means; contingency table analysis."]
[]
["Course Outcomes"]
["STAT 370 : Statistical Theory for Actuaries. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 370 : Statistical Theory for Actuaries. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["WHEN TAUGHT:","Spring"]
["PREREQUISITE:","STAT 340; Concurrent enrollment in MATH 314"]
["DESCRIPTION: ","Probability theory; discrete, continuous, mixture random variables; loss distributions; moment-generating functions; conditional probability, expectation; total probability; stochastic independence; transformations. Prepares for SOA Exam P."]
[]
["Course Outcomes"]
["STAT 424 : Statistical Computing. (3:3:2)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 424 : Statistical Computing. (3:3:2)(Credit Hours:Lecture Hours:Lab Hours)"]
["WHEN TAUGHT:","Winter"]
["PREREQUISITE:","STAT 223 & STAT 224 & STAT 330"]
["DESCRIPTION: ","Create and interact with relational databases comprised of large real world data; integrate previous course work into a single research project from formulation to final report; solve statistical problems using a combination of SAS, R, and SQL skills."]
[]
["Course Outcomes"]
["STAT 431 : Experimental Design. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 431 : Experimental Design. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["WHEN TAUGHT:","Fall"]
["PREREQUISITE:","STAT 330"]
["DESCRIPTION: ","Basic designs, power and sample size, Latin squares, incomplete blocks, change-over designs, factorials, fractional factorials, confounding, split-plots, response surface designs."]
[]
["Course Outcomes"]
["STAT 435 : Nonparametric Statistical Methods. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 435 : Nonparametric Statistical Methods. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["WHEN TAUGHT:","Winter"]
["PREREQUISITE:","STAT 330; or STAT 511"]
["DESCRIPTION: ","Permutation tests, rank-based methods, analysis of contingency tables, bootstrap methods, curve fitting."]
[]
["Course Outcomes"]
["STAT 451 : Applied Bayesian Statistics. (3:3.0:)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 451 : Applied Bayesian Statistics. (3:3.0:)(Credit Hours:Lecture Hours:Lab Hours)"]
["PREREQUISITE:","STAT 151 & STAT 330; Concurrent enrollment in STAT 340."]
["DESCRIPTION: ","Bayesian analogs of t-tests, regression, ANOVA, ANCOVA, logistic regression, and Poisson regression implemented using both JAGS and Proc MCMC"]
[]
["Course Outcomes"]
["STAT 462 : Quality Control and Industrial Statistics. (3:3:2)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 462 : Quality Control and Industrial Statistics. (3:3:2)(Credit Hours:Lecture Hours:Lab Hours)"]
["WHEN TAUGHT:","Fall"]
["PREREQUISITE:","STAT 330 & STAT 340"]
["DESCRIPTION: ","Six sigma; tools with which to define, measure, analyze, improve, control. Advanced concepts in control charts, applying experimental design for process and product improvement."]
[]
["Course Outcomes"]
["STAT 466 : Introduction to Reliability. (3:3:2)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 466 : Introduction to Reliability. (3:3:2)(Credit Hours:Lecture Hours:Lab Hours)"]
["WHEN TAUGHT:","Winter"]
["PREREQUISITE:","STAT 330; or STAT 340"]
["DESCRIPTION: ","Mathematics, distributions, management, and maintenance of basic reliability concepts; collection and analysis of test data; fault tree analysis; applying reliability in various areas."]
[]
["Course Outcomes"]
["STAT 469 : Applied Time Series and Forecasting. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 469 : Applied Time Series and Forecasting. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["PREREQUISITE:","STAT 330 & STAT 340"]
["DESCRIPTION: ","Data mining, univariate ARIMA time series theory and application, seasonal models, spatial correlation models, conditional heteroscedastic models in financial time series, case studies."]
[]
["Course Outcomes"]
["STAT 475 : Life Contingencies. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 475 : Life Contingencies. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["PREREQUISITE:","STAT 474; or STAT 274"]
["DESCRIPTION: ","Life tables, survival functions, contingent annuities, insurance, premiums, reserves, joint annuities and insurance. Prepares for SOA Exam MLC."]
[]
["Course Outcomes"]
["STAT 477 : Statistical Distributions for Actuarial Modeling and Data Analytics. (3:3:1)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 477 : Statistical Distributions for Actuarial Modeling and Data Analytics. (3:3:1)(Credit Hours:Lecture Hours:Lab Hours)"]
["WHEN TAUGHT:","Winter"]
["PREREQUISITE:","STAT 340"]
["RECOMMENDED:","Pass SOA Exam P."]
["DESCRIPTION: ","Analyze data from a risk-based application; select a suitable model and estimate parameters using MLE, method of moments, and Bayes methods; determine goodness of fit and measures of confidence for decision making."]
[]
["Course Outcomes"]
["STAT 496R : Academic Internship: Statistics. (.5-9:ARR:ARR)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 496R : Academic Internship: Statistics. (.5-9:ARR:ARR)(Credit Hours:Lecture Hours:Lab Hours)"]
["PREREQUISITE:","Department coordinator's consent."]
["DESCRIPTION: ","On-the-job experience or internships for undergraduates. Report is required."]
[]
["Course Outcomes"]
["STAT 497R : Introduction to Statistical Research. (.5-3:0:6)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 497R : Introduction to Statistical Research. (.5-3:0:6)(Credit Hours:Lecture Hours:Lab Hours)"]
["PREREQUISITE:","Department chair's consent."]
["DESCRIPTION: ","Review of current literature and survey of present status of significant statistical research; collaborative work between student and faculty."]
[]
["Course Outcomes"]
["b. Complete 6 hours from the following:"]
["ACC 200 : Principles of Accounting. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["ACC 200 : Principles of Accounting. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["OFFERED:","Independent Study also."]
["DESCRIPTION: ","Financial and managerial accounting principles. Basic accounting statements, processes, and management applications. Open to all students."]
[]
["Course Outcomes"]
["ACC 310 : Principles of Accounting 2. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["ACC 310 : Principles of Accounting 2. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["OFFERED:","Available on BYU campus only."]
["WHEN TAUGHT:","Fall; Winter; Spring; Summer"]
["PREREQUISITE:","ACC 200"]
["DESCRIPTION: ","Additional issues in financial and managerial accounting. Review of issues related to balance sheet accounts, performance evaluation and capital budgeting."]
[]
["Course Outcomes"]
["ECON 380 : Intermediate Price Theory 1. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["ECON 380 : Intermediate Price Theory 1. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["WHEN TAUGHT:","Fall; Winter; Spring"]
["PREREQUISITE:","ECON 110 & MATH 112"]
["DESCRIPTION: ","Producer, consumer, and equilibrium theories; mathematical techniques of unconstrained and constrained optimization introduced and applied extensively."]
[]
["Course Outcomes"]
["ECON 381 : Intermediate Macroeconomics. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["ECON 381 : Intermediate Macroeconomics. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["WHEN TAUGHT:","Fall; Winter; Spring"]
["PREREQUISITE:","ECON 110 & MATH 112; Math 112 can be concurrent enrollment."]
["DESCRIPTION: ","Intermediate macroeconomic theory, emphasizing income, unemployment, and price-level analysis."]
[]
["Course Outcomes"]
["ECON 382 : Intermediate Price Theory 2. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["ECON 382 : Intermediate Price Theory 2. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["WHEN TAUGHT:","Fall; Winter; Spring"]
["PREREQUISITE:","ECON 378 & ECON 380; or STAT 201 & MATH 313 & ECON 380"]
["DESCRIPTION: ","Welfare theory, imperfect information, imperfect competition, uncertainty, externalities, and public goods."]
[]
["Course Outcomes"]
["ECON 388 : Introduction to Econometrics. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["ECON 388 : Introduction to Econometrics. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["WHEN TAUGHT:","Fall; Winter; Spring"]
["PREREQUISITE:","ECON 378 & ECON 380; or STAT 201 & MATH 313 & ECON 380"]
["DESCRIPTION: ","Mathematical and statistical techniques used in estimating, predicting, and testing hypotheses associated with quantifiable economic relationships."]
[]
["Course Outcomes"]
["ECON 450 : Financial Economics. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["ECON 450 : Financial Economics. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["WHEN TAUGHT:","Fall; Winter"]
["PREREQUISITE:","ECON 382 & ECON 388"]
["DESCRIPTION: ","Theory of financial economics, emphasizing capital markets, investment decisions, choice, capital asset pricing model, futures and options markets, efficient markets, and capital structures."]
[]
["Course Outcomes"]
["ECON 588 : Advanced Econometrics. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["ECON 588 : Advanced Econometrics. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["WHEN TAUGHT:","Winter"]
["PREREQUISITE:","ECON 388"]
["DESCRIPTION: ","Theory and practice of formulating, estimating, and analyzing economic models."]
[]
["Course Outcomes"]
["FIN 201 : Principles of Finance. (3:3:1.5)(Credit Hours:Lecture Hours:Lab Hours)"]
["FIN 201 : Principles of Finance. (3:3:1.5)(Credit Hours:Lecture Hours:Lab Hours)"]
["WHEN TAUGHT:","Fall; Winter; Spring; Summer"]
["RECOMMENDED:","Acc 200."]
["DESCRIPTION: ","Financial management from the viewpoint of the business manager emphasizing profitability, liquidity, and long-range financial planning."]
[]
["Course Outcomes"]
["STAT 151 : Introduction to Bayesian Statistics. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 151 : Introduction to Bayesian Statistics. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["WHEN TAUGHT:","Fall; Spring"]
["PREREQUISITE:","MATH 112"]
["RECOMMENDED:","Concurrent enrollment in MATH 113."]
["DESCRIPTION: ","The scientific method; conditional probability; Bayes' Theorem; conjugate distributions: Beta-binomial, Poisson-gamma, normal-normal; Gibbs sampling."]
[]
["Course Outcomes"]
["STAT 234 : Methods of Survey Sampling. (3:3:2)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 234 : Methods of Survey Sampling. (3:3:2)(Credit Hours:Lecture Hours:Lab Hours)"]
["WHEN TAUGHT:","Fall"]
["PREREQUISITE:","STAT 121; or STAT 151; or STAT 201; or Stat 301."]
["DESCRIPTION: ","Sampling frames; questionnaire design; simple random, systematic, stratified, and cluster sampling methods; comparing domain means; contingency table analysis."]
[]
["Course Outcomes"]
["STAT 370 : Statistical Theory for Actuaries. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 370 : Statistical Theory for Actuaries. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["WHEN TAUGHT:","Spring"]
["PREREQUISITE:","STAT 340; Concurrent enrollment in MATH 314"]
["DESCRIPTION: ","Probability theory; discrete, continuous, mixture random variables; loss distributions; moment-generating functions; conditional probability, expectation; total probability; stochastic independence; transformations. Prepares for SOA Exam P."]
[]
["Course Outcomes"]
["STAT 424 : Statistical Computing. (3:3:2)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 424 : Statistical Computing. (3:3:2)(Credit Hours:Lecture Hours:Lab Hours)"]
["WHEN TAUGHT:","Winter"]
["PREREQUISITE:","STAT 223 & STAT 224 & STAT 330"]
["DESCRIPTION: ","Create and interact with relational databases comprised of large real world data; integrate previous course work into a single research project from formulation to final report; solve statistical problems using a combination of SAS, R, and SQL skills."]
[]
["Course Outcomes"]
["STAT 431 : Experimental Design. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 431 : Experimental Design. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["WHEN TAUGHT:","Fall"]
["PREREQUISITE:","STAT 330"]
["DESCRIPTION: ","Basic designs, power and sample size, Latin squares, incomplete blocks, change-over designs, factorials, fractional factorials, confounding, split-plots, response surface designs."]
[]
["Course Outcomes"]
["STAT 435 : Nonparametric Statistical Methods. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 435 : Nonparametric Statistical Methods. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["WHEN TAUGHT:","Winter"]
["PREREQUISITE:","STAT 330; or STAT 511"]
["DESCRIPTION: ","Permutation tests, rank-based methods, analysis of contingency tables, bootstrap methods, curve fitting."]
[]
["Course Outcomes"]
["STAT 451 : Applied Bayesian Statistics. (3:3.0:)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 451 : Applied Bayesian Statistics. (3:3.0:)(Credit Hours:Lecture Hours:Lab Hours)"]
["PREREQUISITE:","STAT 151 & STAT 330; Concurrent enrollment in STAT 340."]
["DESCRIPTION: ","Bayesian analogs of t-tests, regression, ANOVA, ANCOVA, logistic regression, and Poisson regression implemented using both JAGS and Proc MCMC"]
[]
["Course Outcomes"]
["STAT 462 : Quality Control and Industrial Statistics. (3:3:2)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 462 : Quality Control and Industrial Statistics. (3:3:2)(Credit Hours:Lecture Hours:Lab Hours)"]
["WHEN TAUGHT:","Fall"]
["PREREQUISITE:","STAT 330 & STAT 340"]
["DESCRIPTION: ","Six sigma; tools with which to define, measure, analyze, improve, control. Advanced concepts in control charts, applying experimental design for process and product improvement."]
[]
["Course Outcomes"]
["STAT 466 : Introduction to Reliability. (3:3:2)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 466 : Introduction to Reliability. (3:3:2)(Credit Hours:Lecture Hours:Lab Hours)"]
["WHEN TAUGHT:","Winter"]
["PREREQUISITE:","STAT 330; or STAT 340"]
["DESCRIPTION: ","Mathematics, distributions, management, and maintenance of basic reliability concepts; collection and analysis of test data; fault tree analysis; applying reliability in various areas."]
[]
["Course Outcomes"]
["STAT 469 : Applied Time Series and Forecasting. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 469 : Applied Time Series and Forecasting. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["PREREQUISITE:","STAT 330 & STAT 340"]
["DESCRIPTION: ","Data mining, univariate ARIMA time series theory and application, seasonal models, spatial correlation models, conditional heteroscedastic models in financial time series, case studies."]
[]
["Course Outcomes"]
["STAT 475 : Life Contingencies. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 475 : Life Contingencies. (3:3:0)(Credit Hours:Lecture Hours:Lab Hours)"]
["PREREQUISITE:","STAT 474; or STAT 274"]
["DESCRIPTION: ","Life tables, survival functions, contingent annuities, insurance, premiums, reserves, joint annuities and insurance. Prepares for SOA Exam MLC."]
[]
["Course Outcomes"]
["STAT 477 : Statistical Distributions for Actuarial Modeling and Data Analytics. (3:3:1)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 477 : Statistical Distributions for Actuarial Modeling and Data Analytics. (3:3:1)(Credit Hours:Lecture Hours:Lab Hours)"]
["WHEN TAUGHT:","Winter"]
["PREREQUISITE:","STAT 340"]
["RECOMMENDED:","Pass SOA Exam P."]
["DESCRIPTION: ","Analyze data from a risk-based application; select a suitable model and estimate parameters using MLE, method of moments, and Bayes methods; determine goodness of fit and measures of confidence for decision making."]
[]
["Course Outcomes"]
["STAT 496R : Academic Internship: Statistics. (.5-9:ARR:ARR)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 496R : Academic Internship: Statistics. (.5-9:ARR:ARR)(Credit Hours:Lecture Hours:Lab Hours)"]
["PREREQUISITE:","Department coordinator's consent."]
["DESCRIPTION: ","On-the-job experience or internships for undergraduates. Report is required."]
[]
["Course Outcomes"]
["STAT 497R : Introduction to Statistical Research. (.5-3:0:6)(Credit Hours:Lecture Hours:Lab Hours)"]
["STAT 497R : Introduction to Statistical Research. (.5-3:0:6)(Credit Hours:Lecture Hours:Lab Hours)"]
["PREREQUISITE:","Department chair's consent."]
["DESCRIPTION: ","Review of current literature and survey of present status of significant statistical research; collaborative work between student and faculty."]
[]
["Course Outcomes"]
[]
["Note: Courses used in List A will not double count in List B."]
[]
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["It is recommended that students take Acc 200, Econ 110, and Fin 201 to complete the Society of Actuaries Economics and Corporate Finance VEEs."]
[]
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["*Hours include courses that may fulfill university core requirements."]
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