Mary Lynn Reed Headshot

Mary Lynn Reed

Professor

School of Mathematics and Statistics
College of Science

585-475-2163
Office Hours
Mon 4:30-5:30pm; plus two additional hours per week, announced in MyCourses.
Office Location

Mary Lynn Reed

Professor

School of Mathematics and Statistics
College of Science

Education

BS, Georgia Institute of Technology; MFA, University of Maryland; MS, PhD, University of Illinois

Bio

Dr. Mary Lynn Reed holds a Ph.D. in Mathematics from the University of Illinois, a B.S. in Applied Mathematics from the Georgia Institute of Technology, and an M.F.A. in Creative Writing from the University of Maryland. Dr. Reed's research background and interests include applications of algebraic structures, statistical modeling, computational mathematics. She is currently focused on questions related to the mathematics of simulation and randomness.

Read More
585-475-2163

Areas of Expertise

Currently Teaching

MATH-301
3 Credits
This course is an introduction to mathematical techniques and algorithms for (pseudo-)random number generation and simulation. Randomness and simulation are major tools used in mathematical modeling, statistical and data analysis, computing, and engineering. This course will provide both a solid mathematical foundation in these topics and computational experience utilizing them in practice.
MATH-367
3 Credits
This course will introduce, explain and employ both the classical and modern basic techniques of cryptography. Topics will include the Vignère cipher, affine ciphers, Hill ciphers, one-time pad encryption, Enigma, public key encryption schemes (RSA, Diffie-Hellman, El-Gamal, elliptic curves), and hash functions. The course will include an introduction to algebraic structures and number theoretic tools used in cryptography.
MATH-441
3 Credits
This course covers basic set theory, number theory, groups, subgroups, cyclic and permutation groups, Lagrange and Sylow theorems, quotient groups, and isomorphism theorems. Group Theory finds applications in other scientific disciplines like physics and chemistry.
MATH-495
1 - 3 Credits
This course is a faculty-directed project that could be considered original in nature. The level of work is appropriate for students in their final two years of undergraduate study.
MATH-498
1 - 3 Credits
This course is a faculty-guided investigation into appropriate topics that are not part of the curriculum.
MATH-799
1 - 3 Credits
Independent Study
STAT-335
3 Credits
This course is a study of the modeling and forecasting of time series. Topics include ARMA and ARIMA models, autocorrelation function, partial autocorrelation function, detrending, residual analysis, graphical methods, and diagnostics. A statistical software package is used for data analysis.

In the News