Course	MATH 110 Precalculus Mathematics
Professor	Jan Rizzuti
CRN	95241
Schedule	Tu Th 4:00 – 5:20 pm HEG 106
Distribution	OLD: E/Q	NEW: MATH & COMPUTING

A course for students who intend to take calculus and need to acquire the necessary skills in algebra and trigonometry. The concept of function is stressed, with particular attention given to linear, quadratic, general polynomial, trigonometric, exponential, and logarithmic functions. Graphing in the Cartesian plane and developing the trigonometric functions as circular functions are included.

Prerequisites: eligibility for Q courses.

Course	MATH 135 Game Theory
Professor	Mark Halsey
CRN	95274
Schedule	Wed Fr 1:30 -2:50 pm HEG 102
Distribution	OLD: E/G/Q	NEW: MATH & COMPUTING

Cross-listed: Science, Technology & Society

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.

Prerequisities: Precalculus or permission of the instructor.

Course	MATH 141 A Calculus I
Professor	Jules Albertini
CRN	95242
Schedule	Wed 4:30 - 6:20 pm HEG 102 Fri 1:30 – 3:20 pm OLINLC 115
Distribution	OLD: E/G/Q	NEW: MATH & COMPUTING

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: Precalculus or the equivalent.

Course	MATH 141 B Calculus I
Professor	Joseph Kirtland
CRN	95243
Schedule	Mon Wed 6:30 – 8:20 pm HEG 102
Distribution	OLD: E/G/Q	NEW: MATH & COMPUTING

See description above.

Course	MATH 142 Calculus II
Professor	Sheila Sundaram
CRN	95244
Schedule	Tu Th 1:00 – 3:00 OLINLC 115
Distribution	OLD: E/G/Q	NEW: MATH & COMPUTING

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 141 or the equivalent.

Course	MATH 212 Calculus III
Professor	Sheila Sundaram
CRN	95245
Schedule	Tu Th 9:30 – 11:30 am PRE 128
Distribution	OLD: E/Q	NEW: MATH & COMPUTING

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 141 and 142 or the equivalent.

Course	MATH 261 Proofs and Fundamentals
Professor	Lauren Rose
CRN	95246
Schedule	Mon Wed 1:30 -2:50 pm HEG 106
Distribution	OLD: E/Q	NEW: MATH & COMPUTING

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 141 and 142, or permission of instructor.

Course	MATH 331 Linear Algebra
Professor	Lauren Rose
CRN	95247
Schedule	Tu Th 2:30 – 3:50 pm HEG 102
Distribution	OLD: E/Q	NEW: MATH & COMPUTING

This course gives an introduction to the theory of abstract vector spaces. The concept of a vector space is often useful when studying physical phenomena. Topics covered will include linear independence and dependence, bases and dimension, linear transformations, eigenvalues, eigenvectors, diagonalization, inner product spaces, and orthogonality.

Prerequisite: Mathematics 261 or permission of the instructor.

Course	MATH 361 Real Analysis
Professor	Ethan Bloch
CRN	95248
Schedule	Mon Wed 3:00 -4:20 pm HEG 106
Distribution	OLD: E/Q	NEW: MATH & COMPUTING

The fundamental ideas of analysis in one-dimensional Euclidean space are studied. Topics covered include the completeness of the real numbers, sequences, Cauchy sequences, continuity, uniform continuity, the derivative, and the Riemann integral. As time permits other topics may be considered, such as infinite series of functions or metric spaces.

Prerequisite: Mathematics 261 or permission of the instructor.