MATH 12101 
Elementary Statistics Instructor: Jeffrey Forrester Course Description:
An introduction to the science of collecting, organizing, analyzing, and interpreting data. The focus is on data presentation and statistical reasoning based upon the analysis of data sets. Topics include the study of sampling methods, observational and experimental studies, graphical and numerical summaries of data, probability, sampling distributions, significance testing, estimation, and simple linear regression. Does not count toward the major or minor in mathematics.Students cannot take this course concurrently with 225. Students who have received credit for 225 cannot take this course for credit. This course fulfills the QR graduation requirement. Offered every semester.

1500:MR TOME 121 
MATH 12102 
Elementary Statistics Instructor: Jeffrey Forrester Course Description:
An introduction to the science of collecting, organizing, analyzing, and interpreting data. The focus is on data presentation and statistical reasoning based upon the analysis of data sets. Topics include the study of sampling methods, observational and experimental studies, graphical and numerical summaries of data, probability, sampling distributions, significance testing, estimation, and simple linear regression. Does not count toward the major or minor in mathematics.Students cannot take this course concurrently with 225. Students who have received credit for 225 cannot take this course for credit. This course fulfills the QR graduation requirement. Offered every semester.

1330:TF TOME 121 
MATH 15101 
Introduction to Calculus Instructor: Emily Dundas Course Description:
An introduction to limits and derivatives together with a review of polynomial, rational, trigonometric, exponential, and logarithmic functions.Five hours of class time per week. Prerequisite: departmental placement. This course fulfills the QR graduation requirement. Offered every semester.

1500:R TOME 120 1500:TF TOME 121 
MATH 17001 
Single Variable Calculus Instructor: Tracy McKay Course Description:
The study of realvalued functions, including transcendental functions, limits, derivatives, and their applications, the definition of the Reimann integral, and the Fundamental Theorem of Calculus.Three hours of classroom and one and a half hour of lab per week. Prerequisite: 151 or departmental placement. This course fulfills the QR graduation requirement. Offered every semester.

0830:MWF TOME 120 1330:T TOME 120 
MATH 17101 
Multivariable Calculus Instructor: Holley Friedlander Course Description:
Multivariable calculus including parametric and polar equations, vectors, threedimensional analytic geometry, vectorvalued functions, functions of several variables, partial derivatives, and multiple integrals. Additional topics if time permits.Three hours of classroom and one and a half hour of lab per week. Prerequisite: 170 or departmental placement. This course fulfills the QR graduation requirement. Offered every semester.

0930:MWF TOME 117 1500:T TOME 120 
MATH 17102 
Multivariable Calculus Instructor: Quang Minh Nguyen Course Description:
Multivariable calculus including parametric and polar equations, vectors, threedimensional analytic geometry, vectorvalued functions, functions of several variables, partial derivatives, and multiple integrals. Additional topics if time permits.Three hours of classroom and one and a half hour of lab per week. Prerequisite: 170 or departmental placement. This course fulfills the QR graduation requirement. Offered every semester.

1030:MWF TOME 120 1330:R TOME 120 
MATH 20101 
Mathematical Techniques in the Biological Sciences Instructor: Jeffrey Forrester Course Description:
A survey of techniques for the analysis of complex systems with an emphasis on those occurring in the biological sciences. Topics include enzyme/substrate kinetics, dynamical systems modeling, network analysis, and informatics. Mathematical modeling will be studied using cluster analysis, ordinary differential equations, and stochastic methods, and will include computer simulations of theoretical models. While the focus of the course is on biological networks, many of the techniques have applicability in the social, economic, and environmental sciences.

1030:MWF TOME 121 
MATH 21101 
Discrete Mathematics Instructor: Jennifer Schaefer Course Description:
An introduction to fundamental mathematical concepts used in mathematics as well as computer science, with an emphasis on writing mathematical arguments. The course presents the principles of mathematical logic and methods of proof such as direct and indirect proofs and mathematical induction. Other topics include sets, functions, relations, matrix algebra, and techniques from elementary combinatorics and graph theory. Prerequisite: 170 or COMP 131 or departmental placement. This course fulfills the WR graduation requirement. Offered every semester.

0900:TR TOME 117 
MATH 21102 
Discrete Mathematics Instructor: Jennifer Schaefer Course Description:
An introduction to fundamental mathematical concepts used in mathematics as well as computer science, with an emphasis on writing mathematical arguments. The course presents the principles of mathematical logic and methods of proof such as direct and indirect proofs and mathematical induction. Other topics include sets, functions, relations, matrix algebra, and techniques from elementary combinatorics and graph theory. Prerequisite: 170 or COMP 131 or departmental placement. This course fulfills the WR graduation requirement. Offered every semester.

1030:TR TOME 117 
MATH 26201 
Introduction to Linear Algebra Instructor: Tracy McKay Course Description:
An introduction to matrix algebra and abstract vector spaces with an emphasis on writing mathematical arguments. Topics include linear systems and matrices, vector spaces, linear independence, eigenvalues and eigenvectors.Prerequisite: 211 or permission of the instructor. This course fulfills the QR graduation requirement. Offered every semester.

0900:TR TOME 121 
MATH 26202 
Introduction to Linear Algebra Instructor: Jennifer Schaefer Course Description:
An introduction to matrix algebra and abstract vector spaces with an emphasis on writing mathematical arguments. Topics include linear systems and matrices, vector spaces, linear independence, eigenvalues and eigenvectors.Prerequisite: 211 or permission of the instructor. This course fulfills the QR graduation requirement. Offered every semester.

1500:MR TOME 117 
MATH 27001 
Integration and Infinite Series Instructor: Barry Tesman Course Description:
The study of methods of integration, applications of the integral, elementary differential equations, and infinite sequences and series.Prerequisite: 171 or departmental placement. This course fulfills the QR graduation requirement. Offered every spring.

0830:MWF TOME 117 
MATH 27002 
Integration and Infinite Series Instructor: Quang Minh Nguyen Course Description:
The study of methods of integration, applications of the integral, elementary differential equations, and infinite sequences and series.Prerequisite: 171 or departmental placement. This course fulfills the QR graduation requirement. Offered every spring.

1230:MWF TOME 117 
MATH 31401 
Theoretical Foundations of Computer Science Instructor: John MacCormick Course Description:
Crosslisted with COMP 31401.

0900:TR TOME 120 
MATH 32501 
Probability and Statistics II Instructor: Richard Forrester Course Description:
A continuation of Introduction to Probability and Statistics I. Topics include additional discrete and continuous distributions, conditional distributions, additional hypothesis tests, simple linear regression and correlation, multiple linear regression, analysis of variance, and goodness of fit tests. Special topics may include nonparametric tests, nonlinear regression, and time series analysis.Prerequisites: 171, 225 and completion of, or concurrent registration in 270. This course fulfills the QR graduation requirement. Offered in odd numbered spring semesters.

0930:MWF TOME 121 
MATH 32502 
Probability and Statistics II Instructor: Richard Forrester Course Description:
A continuation of Introduction to Probability and Statistics I. Topics include additional discrete and continuous distributions, conditional distributions, additional hypothesis tests, simple linear regression and correlation, multiple linear regression, analysis of variance, and goodness of fit tests. Special topics may include nonparametric tests, nonlinear regression, and time series analysis.Prerequisites: 171, 225 and completion of, or concurrent registration in 270. This course fulfills the QR graduation requirement. Offered in odd numbered spring semesters.

1230:MWF TOME 121 
MATH 35101 
Abstract Algebra Instructor: Holley Friedlander Course Description:
An introduction to axiomatic formalism using algebraic structures as paradigms. Topics chosen from groups, rings, integral domains, fields and vector spaces. Prerequisite: 262. This course fulfills the QR graduation requirement. Offered every spring.

1130:MWF TOME 117 
MATH 40101 
History of Mathematics Instructor: David Richeson Course Description:
Students who took MATH 30101 Great Theorems & Ideas in Math with Prof. Richeson in Fall 2012 may NOT register for this class due to content overlap.

1330:MR TOME 232 
MATH 47201 
Complex Analysis Instructor: Barry Tesman Course Description:
An introductory study of functions in the complex plane. Topics include: complex numbers and functions, the theory of differentiation and integration of complex functions; Cauchy's integral theorem; the Residue theorem. Prerequisite: 361 and completion of, or concurrent registration in 351. Offered in odd numbered spring semesters.

1330:TF TOME 232 
MATH 50001 
Algebraic Geometry Instructor: Quang Minh Nguyen Course Description:


MATH 50002 
The Theory of Finite Linear Space Instructor: Tracy McKay Course Description:


MATH 56001 
The Generalized Symmetric Spaces of the Modular Groups  Part 2 Instructor: Jennifer Schaefer Course Description:


MATH 56002 
Honors Research in Complex Dynamical Systems Instructor: Lorelei Koss Course Description:


MATH 56003 
Topics in Applied and Theoretical Operations Research Instructor: Richard Forrester Course Description:

