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

Crosslisted:
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
onedimensional 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.