The Courses

The department offers courses in mathematics and statistics for students with various interests and mathematical backgrounds. MATH 100 is a basic mathematics course which satisfies the General Education R1 requirement; it is not a pre-calculus course. The courses numbered 101, 102, 103, and 104 are intended to assist the student in preparation for an introductory calculus course. MATH 127-128 is a calculus sequence for business and life and social science students. MATH 131-132 is the calculus sequence for students in fields such as mathematics, physics, chemistry, computer science, and engineering.

(All courses carry 3 credits unless otherwise noted.)

Mathematics

100 Basic Mathematics Skills for the Modern World (R1) (both sem)

101 Precalculus Algebra with Functions and Graphs (both sem)

102 Analytic Geometry and Trigonometry (R1) (both sem)

103 Precalculus Trigonometry (1st sem) 1 cr

104 Algebra, Analytic Geometry, and Trigonometry (R1) (both sem)

113 Mathematics for Elementary Teachers I (R1/R2) (both sem)

114 Mathematics for Elementary Teachers II (R1/R2) (both sem)

121 Linear Methods and Probability for Business (R1/R2) (both sem)

127 Calculus for the Life and Social Sciences I (R1/R2) (both sem)

127H Honors Calculus for the Life and Social Sciences I (R1/R2) (1st sem)

128 Calculus for the Life and Social Sciences II (R1/R2) (both sem)

131 Calculus I (R1/R2) (both sem) 4 cr

131H Honors Calculus I (R1/R2) (1st sem) 4 cr

132 Calculus II (R1/R2) (both sem) 4 cr

132H Honors Calculus II (R1/R2) (1st sem) 4 cr

233 Multivariate Calculus (R1/R2) (both sem)

233H Multivariate Calculus (R1/R2) (1st sem)

235 Introduction to Linear Algebra (R1/R2) (both sem)

235H Introduction to Linear Algebra (R1/R2) (1st sem)/p>

300 Fundamental Concepts of Mathematics (both sem) 4 cr

331 Ordinary Differential Equations for Scientists and Engineers (both sem)

370 Writing in Mathematics (both sem)

405 Mathematical Computing

411 Introduction to Abstract Algebra I (both sem)

412 Introduction to Abstract Algebra II (2nd sem)

421 Complex Variables (both sem)

437 Actuarial Financial Math (1st sem)

455 Introduction to Discrete Structures (IE) (both sem)

456 Mathematical Modeling (IE) (both sem)

461 Affine and Projective Geometry (1st sem)

471 Number Theory (both sem)

475 Topics in History of Mathematics (2nd sem)

491A Problem Seminar: Putnam Exam Preparation (1st sem) 1 cr

491P Problem Seminar: Preparation for the GRE subject exam (1st sem) 1 cr

513 Combinatorics

522 Fourier Methods

523H Introduction to Modern Analysis I (both sem)

524 Introduction to Modern Analysis II (2nd sem)

532H Topics in Ordinary Differential Equations (1st sem)

534H Introduction to Partial Differential Equations (2nd sem)

536 Actuarial Probability (2nd sem)

537 Introduction to Mathematics of Finance (both sem)

545 Linear Algebra for Applied Mathematics (both sem)

551 Introduction to Scientific Computing (both sem)

552 Applications of Scientific Computing (2nd sem)

557 Linear Optimization & Polytopes

563H Introduction to Differential Geometry (2nd sem)

571 Introduction to Math Cryptography

Statistics

Currently, Statistics and Data Science is offered as one of the possible areas of concentration within the math major.  We expect to be offering a B.S. degree with a major in Statistics and Data Science in the near future.

108 Foundations of Data Science (R2) (2nd sem)

111 Elementary Statistics (R1/R2) (both sem)

240 Introduction to Statistics (R1/R2) (both sem)

310 Fundamental Concepts of Statistics (both sem)

315 Statistics I (R1/R2) (both sem)

501 Methods of Applied Statistics (R1/R2) (both sem)

516 Statistics II (R1/R2) (both sem)

525 Regression and Analysis of Variance (IE) (both sem)

526 Design of Experiments (2nd sem)

535 Introduction to Statistical Computing (both sem)