MATH 12101 
Elementary Statistics Instructor: Tracy McKay 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. Offered every semester. 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. Offered every semester.

1330:TF TOME 121 
MATH 12102 
Elementary Statistics Instructor: David Luo, Grant Braught 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. Offered every semester. 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. Offered every semester.

1500:MR TOME 121 
MATH 12103 
Elementary Statistics Instructor: Grant Braught, Robert Mixell 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. Offered every semester. 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. Offered every semester.

1330:MR TOME 121 
MATH 15101 
Introduction to Calculus Instructor: Sarah Bryant Course Description:
An introduction to limits and derivatives together with a review of polynomial, rational, trigonometric, exponential, and logarithmic functions.Three hours of classroom and one and a half hour of lab per week. Prerequisite: departmental placement. Offered every semester.

1330:R TOME 118 0830:MWF TOME 120 
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 Riemann 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. Offered every semester.

0900:TR TOME 120 1330:W TOME 120 
MATH 17002 
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 Riemann 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. Offered every semester.

1030:TR TOME 120 1500:W TOME 120 
MATH 17003 
Single Variable Calculus Instructor: Sarah Bryant Course Description:
The study of realvalued functions, including transcendental functions, limits, derivatives and their applications, the definition of the Riemann 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. Offered every semester.

1330:M TOME 118 1130:MWF TOME 120 
MATH 17004 
Single Variable Calculus Instructor: David Richeson Course Description:
The study of realvalued functions, including transcendental functions, limits, derivatives and their applications, the definition of the Riemann 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. Offered every semester.

0830:MWF TOME 231 1500:W TOME 231 
MATH 17101 
Multivariable Calculus Instructor: Eddie Tu 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. Offered every semester.

1130:MWF TOME 117 1500:R TOME 120 
MATH 17102 
Multivariable Calculus Instructor: David Sulon 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. Offered every semester.

1230:MWF TOME 120 1500:T TOME 120 
MATH 17103 
Multivariable Calculus Instructor: David Sulon 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. Offered every semester.

1030:MWF TOME 120 1330:T TOME 120 
MATH 20101 
Introduction to Graph Theory Instructor: Barry Tesman Course Description:
An introduction to the theory and applications of graph theory. We will study the structure and properties of graphs, together with a variety of applications. Topics include: paths, cycles, trees, connectivity, matchings, colorings, planarity, directed graphs, and algorithms.

1130:MWF TOME 231 
MATH 21101 
Discrete Mathematics Instructor: Richard Forrester 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. Offered every semester. 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. Offered every semester.

0900:TR TOME 121 
MATH 21102 
Discrete Mathematics Instructor: Richard Forrester 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. Offered every semester. 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. Offered every semester.

1030:TR TOME 121 
MATH 26201 
Introduction to Linear Algebra Instructor: Richard Forrester 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. Offered every semester.

1330:MR TOME 120 
MATH 27001 
Integration and Infinite Series Instructor: Eddie Tu 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. Offered every spring.

0930:MWF TOME 117 
MATH 27002 
Integration and Infinite Series Instructor: Jeffrey Forrester 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. Offered every spring.

0830:MWF TOME 121 
MATH 31401 
Theoretical Foundations of Computer Science Instructor: Michael Skalak Course Description:
Crosslisted with COMP 31401. An introduction to the theory of computation. Topics include formal language theory (grammars, languages, and automata including Turing machines), and an introduction to the concept of undecidable problems, including the halting problem. Prerequisite: COMP 132 and MATH 211. This course is crosslisted as COMP 314. Offered every spring.

0930:MWF TOME 231 
MATH 32502 
Probability and Statistics II Instructor: Jeffrey 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. Offered in odd numbered spring semesters. 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. Offered in odd numbered spring semesters.

1030:MWF TOME 121 
MATH 35101 
Abstract Algebra Instructor: Barry Tesman 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. Offered every spring.

0830:MWF TOME 117 
MATH 47201 
Complex Analysis Instructor: Lorelei Koss 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.

0900:TR TOME 231 
MATH 47202 
Complex Analysis Instructor: Lorelei Koss 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.

1030:TR TOME 231 
MATH 50001 
Topology II Instructor: David Richeson Course Description:


MATH 55001 
Real Dynamical Systems Instructor: Lorelei Koss Course Description:


MATH 55002 
Mathematical Braid Theory II Instructor: David Richeson Course Description:

