Updated 2024-2025 Graduate Catalog | 20255
Mathematics Courses
MATH 5064 Number Concepts
(4 credits)
MATH 5065 Mathematical Foundations of Algebra
(4 credits)
MATH 5066 Geometry and Technology
(4 credits)
MATH 5067 Data, Probability, and Statistics
(4 credits)
MATH 5069 Mathematics and Culture
(3 credits)
MATH 5240 Number Theory
(3 credits)
MATH 5260 Mathematical Problem Solving
(3 credits)
MATH 5310 Linear Algebra
(4 credits)
MATH 5371 Modern Algebra
(3 credits)
MATH 5410 Introduction to Analysis
(3 credits)
MATH 5440 Introduction to Fractals & Chaos
(3 credits)
MATH 5560 Classical and Modern Geometry
(3 credits)
MATH 5710 Mathematical Modeling
(3 credits)
MATH 5720 Numerical Methods
(3 credits)
MATH 5760 Topics in Applied Mathematics
(3 credits)
MATH 5820 History of Mathematics
(3 credits)
MATH 5961 Special Purpose Instruction
(3 credits)
MATH 5962 Special Purpose Instruction
(3 credits)
MATH 5963 Special Purpose Instruction
(3 credits)
MATH 5964 Special Purpose Instruction
(3 credits)
MATH 5965 Special Purpose Instruction
(3 credits)
MATH 5966 Special Purpose Instruction
(3 credits)
MATH 5967 Special Purpose Instruction
(3 credits)
MATH 5968 Special Purpose Instruction
(3 credits)
MATH 5969 Special Purpose Instruction
(3 credits)
MATH 6050 Assessment in the Mathematics Classroom
(3 credits)
MATH 6055 Pedagogical Portfolio and Action Research
(2 credits)
MATH 6061 Number Sense For Teachers
(3 credits)
MATH 6062 Number Theory For Teachers
(3 credits)
MATH 6200 Structures of Discrete Mathematics
(3 credits)
MATH 6350 Advanced Abstract Algebra
(3 credits)
MATH 6500 Geometry In The Classroom For Teachers
(3 credits)
MATH 6550 Advanced Geometry
(3 credits)
MATH 6600 Probability For Teachers
(3 credits)
MATH 6980 Research
(2 credits)
MATH 5067 Data, Probability, and Statistics (4 credits)
This course explores data investigations and concepts of randomness and uncertainty. The collection, display, analysis, and interpretation of data are studied. Additional topics include randomness, sampling, probability in simple and compound events, the prediction of outcomes using a variety of techniques, and the comparison of theoretical and empirical results of experiments.
Common Course Outline