Joel Dreibelbis
Principal Lecturer
School of Mathematics and Statistics
College of Science
585-475-6409
Office Hours
Monday and Wednesday from 9:20 am to 9:50 am. Tuesday and Thursday from 1:20 pm to 1:50 pm. Friday* from 8:00 am to 9:50 am. *By appointment only.
Office Location
Joel Dreibelbis
Principal Lecturer
School of Mathematics and Statistics
College of Science
Education
BS, MS, Rochester Institute of Technology; MA, Ph.D., University of Rochester
Currently Teaching
MATH-131
Discrete Mathematics
4 Credits
This course is an introduction to the topics of discrete mathematics, including number systems, sets and logic, relations, combinatorial methods, graph theory, regular sets, vectors, and matrices.
MATH-173
Calculus C
3 Credits
This is the third course in three-course sequence (COS-MATH-171, -172, -173). The course includes sequences, convergence and divergence of series, representations of functions by infinite series, curves defined by parametric equations, and polar coordinates. Also included are applications of calculus to curves expressed in parametric and polar form.
MATH-181
Calculus I
4 Credits
This is the first in a two-course sequence intended for students majoring in mathematics, science, or engineering. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers functions, limits, continuity, the derivative, rules of differentiation, applications of the derivative, Riemann sums, definite integrals, and indefinite integrals.
MATH-182
Calculus II
4 Credits
This is the second in a two-course sequence. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers techniques of integration including integration by parts, partial fractions, improper integrals, applications of integration, representing functions by infinite series, convergence and divergence of series, parametric curves, and polar coordinates.
MATH-190
Discrete Mathematics for Computing
3 Credits
This course introduces students to ideas and techniques from discrete mathematics that are widely used in Computer Science. Students will learn about the fundamentals of propositional and predicate calculus, set theory, relations, recursive structures and counting. This course will help increase students’ mathematical sophistication and their ability to handle abstract problems.