CRN	14050	Distribution	E/G
Course No.	MATH 111 Q course
Title	Calculus I
Professor	Mark Halsey
Schedule	Tu Th 10:30 am - 12:20 pm HEGEMAN 106

An introduction to the basic ideas of differentiation and integration in one variable. Topics include limits, techniques of differentiation, definite integrals, the fundamental theorem of calculus, and applications.

Prerequisite: Mathematics 110 or equivalent.

CRN	14051	Distribution	E/G
Course No.	MATH 112 Q course
Title	Calculus II
Professor	Ethan Bloch
Schedule	Tu Th 1:30 pm - 3:20 pm ALBEE 106

This course, a continuation of Calculus I, reinforces the fundamental ideas of the derivative and the definite integral. Topics covered include L'Hopital's rule, integration techniques, improper integrals, volumes, arc length, sequences and series, power series, continuous random variables, and separable differential equations.

Prerequisites: Mathematics 111 or the equivalent.

CRN	14052	Distribution	E
Course No.	MATH 131 Q course
Title	Exploration in Number Theory
Professor	Lauren Rose
Schedule	Mon Wed 1:30 pm - 2:50 pm PRE 128

This course will provide an overview of one of the oldest and most beautiful areas of mathematics. It is ideal for any student who wants a taste of mathematics outside of the calculus sequence. Topics may include: number puzzles, prime numbers, congruences, quadratic reciprocity, sums of squares, Diophantine equations, cryptography, coding theory, and continued fractions.

Prerequisite: Precalculus or permission of the instructor.

CRN	14319	Distribution	E
Course No.	MATH 135 Q course
Title	Game Theory
Professor	Mark Halsey
Schedule	Wed Fr 10:00 am - 11:20 am PRE 128

In the twentieth century, the theory of games gained prominence for its application to the social sciences. Game theory is a mathematical approach to modeling situations of conflict whether real of theoretical. This course will introduce the student to this exciting area of mathematics. Using algebra and some analytical geometry, students will be able to explore the mathematical foundations of game theory. At the same time students will encounter a wide range of applications of the theory of games. Topics covered will be chosen from: zero sum games, nonzero sum games, pure and mixed strategies, von Neumann’s Minimax Theorem, Nash equilibria, and cooperative games.

Prerequisites: Precalculus or permission of the instructor.

CRN	14053	Distribution	E
Course No.	MATH 212 Q course
Title	Vector Calculus
Professor	Karen Ricciardi
Schedule	Mon Wed 8:30 am - 10:20 am HEGEMAN 106

This course investigates differentiation and integration of multivariable functions. Topics covered include vectors, coordinate systems, vector valued functions, partial derivatives, gradients, Lagrange multipliers, multiple integrals, change of variables, line integrals, Green’s theorem, and Stoke’s theorem.

Prerequisite: Mathematics 111 and 112 or the equivalent.

CRN	14054	Distribution	E
Course No.	MATH 242 Q course
Title	Elementary Linear Algebra
Professor	Karen Ricciardi
Schedule	Mon Wed 3:00 pm - 4:20 pm ALBEE 106

This course will cover the basics of linear algebra in n-dimensional Euclidean space, including vectors, matrices, systems of linear equations, determinants, eigenvalues and eigenvectors, as well as applications of these concepts to the natural, physical and social sciences. Equal time will be given to computational, applied, and theoretical aspects of the course material. Prerequisite: Math 111 or permission of the instructor.

CRN	14055	Distribution	E
Course No.	MATH 261 Q course
Title	Proofs and Fundamentals
Professor	Lauren Rose
Schedule	Tu Th 9:00 am - 10:20 am HEGEMAN 106

This course introduces students to the methodology of mathematical proof. The logic of compound and quantified statements, mathematical induction, and basic set theory including functions and cardinality are covered. Topics from foundational mathematics are developed to provide students with an opportunity to apply proof techniques.

Prerequisite: Mathematics 111 and 112, or permission of instructor.

CRN	14320	Distribution	E/G
Course No.	MATH 322 Q course
Title	Operations Research
Professor	Karen Ricciardi
Schedule	Tu Th 10:00 am - 11:20 am PRE 128

Cross-listed: Economics

Operations research is a scientific approach to decision making, which seeks to determine how best to design and operate a system, usually under conditions requiring the allocation of scarce resources. This course will introduce the student to the branch of operations research known as deterministic optimization. Deterministic optimization tackles problems such as how to schedule classes with a limited number of classrooms on campus, how to determine a diet that is both rich in nutrients and low in calories, how design a machine that will be most energy efficient and how to create an investment portfolio that meets your investment needs. A broad range of optimization techniques will be covered in this course including linear programming, network flows, integer/combinatorial optimization and nonlinear programming. The course will emphasize the importance of problem formulation as well as how to apply algorithms to real-world problems to arrive at optimal solutions. Prerequisites: A working knowledge of multivariable calculus and basic linear algebra.

CRN	14056	Distribution	E/Q
Course No.	MATH 332
Title	Abstract Algebra
Professor	Lauren Rose
Schedule	Tu Th 1:30 pm - 2:50 pm HEGEMAN 106

An introduction to modern abstract algebraic systems. The structures of groups, rings, and fields are studied together with the homomorphisms of these objects. Topics include equivalence relations, finite groups, group actions, integral domains, polynomial rings, and finite fields.

Prerequisite: Mathematics 261 or permission of the instructor.

CRN	14321	Distribution	E
Course No.	MATH 351 Q course
Title	Point Set Topology
Professor	Ethan Bloch
Schedule	Mon Wed 1:30 pm - 2:50 pm HEGEMAN 106

An introduction to point set topology. Topics include metric spaces, compactness, connectedness, continuity, homeomorphisms, separation criteria, and possibly the fundamental group.

Prerequisite: Mathematics 261 or permission of the instructor.