Professors: John Aversa, A.B., A.M. Boston College; Daniel W. Chambers, B.S. Notre Dame, A.M., Ph.D. Maryland; Marie Clote, D.E.A. Universite Paris VII; Kenneth St. Martin, A.B., M.S. Boston College.

MT 04001  Introductory Topics in College Mathematics
This course is designed to easily and comfortably re-introduce students to learn basic math skills as well as gain knowledge of important concepts in College Algebra and problem solving. It is also intended to strengthen students’ abilities to move on to other algebraic disciplines in business, social sciences, and physical sciences. Topics covered will be introduction to integers, equation solving, polynomials factoring, and rational expressions.
Fall, Sat 9–12, Sept 7–Dec 14, Professor St. Martin

MT 04101  Exploring Topics of College Mathematics
This continuing course will complete the remaining College Algebra topics and then familiarize students to additional branches of mathematics in the fields of elementary probability and statistics. Topics covered will be linear and systems equations, inequalities, radical expressions, quadratic equations, union and intersection, and probability and statistics. Additional topics may be introduced if time permits.
Spring, Sat 9–12, Jan 18–May 3, Professor St. Martin

MT 05401  Precalculus
This one semester course treats the algebra and analytic geometry necessary for calculus and other college mathematics courses. Topics include a review of algebra, polynomial and rational functions, exponential and logarithmic functions, and trigonometry. Modeling and problem solving are emphasized throughout.
Spring, Thurs 6:30–9, Jan 16–May 8, Professor Aversa

MT 06401  Elementary Probability
This one semester course studies finite counting problems and the associated calculation of likelihood. Topics include finite sets, permutations and combinations, sample spaces, conditional probability and Bayes’s Theorem, and random variables.
Fall, Thurs 6:30–9, Sept 5–Dec 12, Professor Aversa

MT 35301  Statistics
Introduction to inferential statistics covering description of sample data, probability, binomial and normal distribution, random sampling, estimation, and hypothesis-testing.
Fall, Wed 6:30–9, Sept 4–Dec 11, Professor Chambers
Spring, Wed 6:30–9, Jan 15–May 7, Professor Chambers