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Graduate Level Courses
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Math 6010 Mathematical Biology
Prerequisite:
Math 2212 or Math 1220 with grade of C or higher.
Math 6211 Optimization 3.0
Prerequisite: Math 2215.
Math 6250 Complex Analysis 3.0
Prerequisite: Math 3000.
Math 6253 Introduction to Operations Research 3.0
Prerequisite: Math 3030 or 3435.
Math 6258 Vector Calculus 3.0
Prerequisite: Math 2215. (Same as Phys 6510.)
Math 6265 Partial Differential Equations 3.0
Prerequisite: Math 3260
(Same as Phys 6520.)
Math 6275 Applied Dynamical Systems 3.0
Prerequisite: Math 3260
Math 6301 College Geometry 3.0
Prerequisite:
Math 3000 with a grade of C or higher.
Math 6371 Modern Geometry 3.0
Prerequisite: Math 3000.
Math 6391 Introduction to Differential Geometry 3.0
Prerequisite: Math 2215
(Same as Phys 6391.)
Math 6420 Graph Theory 3.0
Prerequisite: Math 3000.
Math 6435 Linear Algebra 3.0
Prerequisite: Math 3435.
Math 6441 Modern Algebra I 3.0
Prerequisite: Math 3435.
Math 6442 Modern Algebra II 3.0
Prerequisite: Math 4441/6441.
Math 6450 Theory of Numbers 3.0
Prerequisite: Math 3000.
Math 6455 Error Correcting Codes 3.0
Prerequisite: Math 3030 or Math 3435.
Math 6460 Cryptography 3.0
Prerequisite: Math 3030 or Math 3435 and the ability to program in a high level language.
Math 6544 Biostatistics 3.0
Prerequisite: Biol 1107K, 1108K, and Math 2211.
Math 6547 Introduction to Statistical Methods 3.0
Prerequisite: A course in calculus.
Math 6548 Methods of Regression and Analysis of Variance 3.0
Prerequisite: A course in calculus and a course covering methods of statistical inference.
Math 6610 Numerical Analysis I 3.0
Prerequisites: Math 2215 and the ability to program in a high-level language.
(Same as CSc 6610.)
Math 6620 Numerical Analysis II 3.0
Prerequisites: Math 3030 or 3435, and the ability to program in a high-level language. (Same as CSc 6620.)
Math 6650 Inverse and Ill-Posed Problems 3.0
Prerequisite: Math/CSc 6610 or Math/CSc 6620.
Math 6661 Analysis I 3.0
Prerequisite: Math 3435; co-requisite: 4435/6435.
Math 6662 Analysis II 3.0
Prerequisite:
Math 4661/6661 wiht a grade of C or higher.
Math 6671 Transforms in Applied Mathematics 3.0
Prerequisite: Math 3030 or Math 3435.
Math 6751 Mathematical Statistics I 3.0
Prerequisite: Math 2215.
Math 6752 Mathematical Statistics II 3.0
Prerequisite: Math 4751/6751.
Math 6767 Statistical Computing 3.0
Prerequisite: Math 4752/6752 or 4548/6548 and 3435 and the ability to program in a high-level language.
Math 7120 Fundamental Concepts of Analysis 3.0
Prerequisite: Math 2215.
Math 7300 Problem Solving with Computers 3.0
Prerequisite: Math 3000.
Math 7420 Applied Combinatorics 3.0
Prerequisite:
Math 2212 or Math 2420 with a grade of C or higher.
Math 7800 Topics in Secondary Mathematics 3.0
Math 7820 Historical and Cultural Development of Mathematics I 3.0
Math 7821 Historical and Cultural Development of Mathematics II 3.0
Prerequisite:
Math 3000 with a grade of C or higher.
Math 7840 Mathematical Models 3.0
Prerequisite: Math 3435.
Math 8110 Real Analysis I 3.0
Prerequisite: Math 4662/6662.
Math 8120 Real Analysis II 3.0
Prerequisite: Math 8110.
Math 8200 Advanced Matrix Analysis 3.0
Prerequisite: Math 4435/6435.
Math 8210 Topics in Applied Matrix Analysis 3.0
Prerequisite:
Math 8200 with grade of C or higher.
Math 8220 Abstract Algebra 3.0
Prerequisite: Math 4441/6441.
Math 8230 Topics in Algebra 3.0
Math 8310 Theory of Functions of a Complex Variable 3.0
Prerequisite: Math 4662/6662.
Math 8420 Advanced Graph Theory 3.0
Prerequisite: Math 6420.
Math 8440 Combinatorics 3.0
Prerequisite: Math 6420.
Math 8510 Applied Mathematics 3.0
Prerequisite: Math 4661/6661.
Math 8210 Dynamical Foundations of Neuroscience 3.0
Prerequisite:
Math 4010/6010, Math 4275/6275, or Phys 4180/6180 with grade of C or higher.
Math 8520 Applied Combinatorics and Graph Theory 3.0
Prerequisite: CSc 6520. (Same as CSc 8520.)
Math 8530 Topics in Applied Mathematics 3.0
Math 8540 Advanced Topics in Ordinary Differential Equations and Dynamical Systems Prerequisites: Math 4275 or 6275 with grade of C or higher
(Same as Phys 8540)
Math 8610 Advanced Numerical Analysis 3.0
Prerequisites: Math 4435/6435 and Math 4610/6610 or CSc 4610/6610.
(Same as CSc 8610.)
Math 8620 Numerical Linear Algebra 3.0
Prerequisites: Math 4435/6435; and Math 4610/6610 or CSc 4610/6610. (Same as CSc 8620.)
Math 8800 Topics in Mathematics 3.0
Math 8801 Graduate Research in Mathematics 3.0
Math 8802 Graduate Laboratory in Mathematics 3.0
Math 8820 Research 3.0
Prerequisite: consent of the instructor and chair of department.
Math 8950 Directed Research in Mathematics 1.0 to 15.0
Prerequisite: consent of the instructor.
Math 8999 Thesis Research 1.0 to 9.0
Prerequisite: Thesis option.
Mted 9116 Teaching College Mathematical Sciences 3.0
Prerequisite: consent of instructor.
Mted 9126 Epistemology of Advanced Mathematics Concepts 3.0
Prerequisite: consent of instructor.
Mted 9166 Internship in Teaching College Mathematics 3.0
Prerequisites: consent of instructor and approval to teach in the Department of Mathematics and Statistics.
Mted 9185 Research Seminar in Undergraduate Mathematics Education 3.0
Prerequisite: consent of instructor.
Stat 7010 Biostatistics for Public Health 3.0
Prerequisite: A college-level Algebra course and a statistics or research design course
Stat 8050 Statistics for Bioinformatics 3.0
Prerequisite: Math 4544/6544 or Biol 4744/6744, or its equivalent. (Same as Biol 8050 and CSc 8050.)
Stat 8090 Applied Multivariate Statistics 3.0
Prerequisite: consent of the instructor.
Stat 8310 Applied Baysian Statistics 3.0
Prerequisite: Math 4752/6752
Stat 8320 Advanced Methodologies in Bioinformatics 3.0
Prerequisite: Math 4752/6752
Stat 8440 Survival Analysis 3.0
Prerequisite: Math 4752/6752.
Stat 8540 Advanced Methodologies in Biostatistics 3.0
Prerequisites: Math 6752.
Stat 8561 Linear Statistical Analysis I 3.0
Prerequisite: Math 4751/6751.
Stat 8562 Linear Statistical Analysis II 3.0
Prerequisite: Math 4752/6752.
Stat 8581 Statistical Theory I 3.0
Prerequisite: Math 4752/6752.
Stat 8582 Statistical Theory II 3.0
Prerequisite: Stat 8581.
Stat 8600 Probability Theory 3.0
Prerequisite: Math 4752/6752.
Stat 8610 Time Series Analysis 3.0
Prerequisite: Math 4752/6752.
Stat 8630 EXPERIMENTAL DESIGNS 3.0
Experimental Designs.
Prerequisite: Math 4752/6752.
Stat 8650 Multivariate Analysis 3.0
Prerequisite: Math 4752/6752.
Stat 8670 Computational Methods in Statistics 3.0
Prerequisite: Math 4752/6752 and the ability to program in a high-level language.
Stat 8674 Monte Carlo Methods 3.0
Prerequisite: Math 4752/6752 with a grade of C or higher.
Stat 8678 SAS Progamming 3.0
Prerequisite: Math 4544/6544 or Math 4547/6547.
Stat 8680 Applied Nonparametric Methods 3.0
Prerequisite: Math 4752/6752.
Stat 8690 Topics in Statistics 3.0
Replaces Math 869.
Stat 8691 Graduate Research in Statistics 1.0 to 15.0
Stat 8692 Graduate Laboratory in Statistics 1.0 to 15.0
Stat 8700 Analysis of Qualitative Data 3.0
Prerequisite: Math 4752/6752.
Stat 8760 Sample Surveys 3.0
Prerequisite: Math 4752/6752.
Stat 8800 Statistical Consulting 2.0
Prerequisite: Stat 8561.
Stat 8820 Research 3.0
Prerequisite: consent of the instructor and chair of department.
Stat 8900 Colloquium 1.0
Stat 8950 Directed Research in Statistics 1.0 to 15.0
Prerequisite: consent of the instructor.
Stat 8999 Thesis Research 1.0 to 9.0
Prerequisite: thesis option.
Stat 9999 Dissertation Research 1. to 18.0.