347 ADVANCED REAL ANALYSIS 4 S C or better in MAT 247 and 236 or 337 or cons

347 advanced real analysis 4 s c or better in mat 247

This preview shows page 215 - 216 out of 335 pages.

347 ADVANCED REAL ANALYSIS 4 S C or better in MAT 247 and 236; or 337 or cons inst req. The real number system, topology of metric spaces, sequences, continuous functions, uniform convergence, differentiation, Taylor’s Theorem, Riemann integration, the fundamental the- orem of calculus, infinite series, power-series. 350 APPLIED PROBABILITY MODELS 4 F,S C or better in MAT 147 req. Formerly MATHEMATI- CAL STATISTICS I. Sample spaces, discrete and continuous random variables, probability functions, density, moment generating func- tions, important distributions. Multivariate distributions, Central Limit Theorem. 351 STATISTICS AND DATA ANALYSIS 4 F,S C or better in MAT 350 req or cons of instr. Formerly MATHEMATICAL STATISTICS II. Statistical estimation. Point and interval estimators. Consis- tency, unbiasedness, minimum variance. Hypothesis testing. Likelihood ratio tests. Regression, analysis of variance. 353 REGRESSION AND TIME SERIES ANALYSIS 4 F,S MAT 351 or equiv or cons inst req. Also offered as ECO 353. Formerly ANALYSIS OF TIME SERIES. Regression and time series methods for business and eco- nomic applications, including exponential smoothing and Box-Jenkins methods. Computer statistical package used. 356 STATISTICAL COMPUTING 4 C or better in 2 statistics courses; some facility with matrices req. Application of SAS and SPSS programs to real data empha- sizing regression, and analysis of variance. 361 TOPICS IN DISCRETE MATHEMATICS 2-4 C or better in MAT 175 or MAT 260 and approved pro- gramming language req. Each topic may be taken once. Study of selected areas of discrete mathematics. Consult the Course Registration Directory on iCampus for the top- ics to be offered and the hours of credit to be earned during any given semester. 362 LINEAR PROGRAMMING 4 F C or better in MAT 175 and C, FORTRAN, Pascal, PL/I, or approved programming language req. Modeling and solution of problems using the simplex method. Duality, sensitivity, integer programming. Trans- portation problems. 363 GRAPH THEORY 4 F C or better in MAT 175 or 260, and C, FORTRAN, Pascal, PL/I, or approved programming language req. Introduction to graph theory, connectivity, matching, color- ing, network flows with applications to communication reli- ability, scheduling, and traffic flow problems. 378 MATHEMATICAL MODELING 4 F C or better in MAT 175 and 350 req. MAT 340 rec. Applications of mathematical modeling to fields including biology, economics, engineering, political science, psychology, and sociology. Project required. 380 ACTUARIAL MODELS I 4 F,S B or better in MAT 280 and 350 or cons inst req. For- merly INTRODUCTION TO LIFE CONTINGENCIES. Survival distributions, life tables. Life insurance, life annu- ities and pensions. Premiums and reserves. Multiple lives. Multiple decrements. Models including expenses. 383 ACTUARIAL MODELS II 4 F,S B or better in MAT 280 and 350 or cons inst req. Formerly CREDIBILITY THEORY AND LOSS DISTRIBUTIONS.
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  • Fall '15
  • TrevorBelcher
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