MATH 12101 
Elementary Statistics Instructor: Jackie Campbell 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.

01:30 PM02:45 PM, TF TOME 121 
MATH 12102 
Elementary Statistics Instructor: Eren Bilen 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.

03:00 PM04:15 PM, TF TOME 121 
MATH 15101 
Introduction to Calculus Instructor: Tracy McKay 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.

10:30 AM11:20 AM, MWF TOME 120 03:00 PM04:20 PM, T TOME 120 
MATH 17001 
Single Variable Calculus Instructor: Barry Tesman 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.

09:30 AM10:20 AM, MWF TOME 117 03:00 PM04:20 PM, R TOME 120 
MATH 17002 
Single Variable Calculus Instructor: Tony Mixell 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.

10:30 AM11:45 AM, TR TOME 118 03:00 PM04:20 PM, M TOME 118 
MATH 17003 
Single Variable Calculus Instructor: Chris Fowler 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.

04:30 PM05:50 PM, W TOME 120 03:00 PM04:15 PM, MR TOME 117 
MATH 17004 
Single Variable Calculus Instructor: Barry Tesman 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.

11:30 AM12:20 PM, MWF TOME 117 01:30 PM02:50 PM, R TOME 120 
MATH 17101 
Multivariable Calculus Instructor: Jennifer Schaefer 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.

01:30 PM02:50 PM, F TOME 118 09:30 AM10:20 AM, MWF TOME 231 
MATH 17102 
Multivariable Calculus Instructor: Jennifer Schaefer 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.

11:30 AM12:20 PM, MWF TOME 231 01:30 PM02:50 PM, R TOME 118 
MATH 17103 
Multivariable Calculus Instructor: Jeffrey Forrester 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.

08:30 AM09:20 AM, MWF TOME 118 03:00 PM04:20 PM, T TOME 118 
MATH 18001 
Introduction to Data Science Instructor: Xiexin Liu Course Description:
Crosslisted with COMP 18001 and DATA 18001. An introduction to theprinciples and tools of data science focusing on exploratory data analysis. Topics include types of variables, mathematical representations of data, data wrangling and transformations, data visualization and numerical summaries, and supervised and unsupervisedmachinelearning. The course will include an introduction to computational tools such as the R statistical environment. No prior programming experience is required.Prerequisites: MATH 170 or department placement. This course is crosslisted as COMP 180 and DATA 180.

09:00 AM10:15 AM, TR TOME 121 
MATH 18002 
Introduction to Data Science Instructor: Xiexin Liu Course Description:
Crosslisted with COMP 18002 and DATA 18002. An introduction to theprinciples and tools of data science focusing on exploratory data analysis. Topics include types of variables, mathematical representations of data, data wrangling and transformations, data visualization and numerical summaries, and supervised and unsupervisedmachinelearning. The course will include an introduction to computational tools such as the R statistical environment. No prior programming experience is required.Prerequisites: MATH 170 or department placement. This course is crosslisted as COMP 180 and DATA 180.

10:30 AM11:45 AM, TR TOME 121 
MATH 21101 
Foundations of Higher Mathematics Instructor: Eddie Tu Course Description:
An introduction to fundamental mathematical concepts used in mathematics and computer science, with an emphasis on writing mathematical arguments. The course presents the principles of mathematical logic, sets, functions, and methods of proof. Prerequisite: 170 or COMP 130 or departmental placement. Offered every semester.

09:00 AM10:15 AM, TR TOME 232 
MATH 21102 
Foundations of Higher Mathematics Instructor: Eddie Tu Course Description:
An introduction to fundamental mathematical concepts used in mathematics and computer science, with an emphasis on writing mathematical arguments. The course presents the principles of mathematical logic, sets, functions, and methods of proof. Prerequisite: 170 or COMP 130 or departmental placement. Offered every semester.

10:30 AM11:45 AM, TR TOME 232 
MATH 24102 
Computational Mathematics Instructor: Dick Forrester Course Description:
Crosslisted with COMP 24102. An introduction to a broad range of numerical methods for solving mathematical problems that arise in science and engineering. Focus is given to developing a basic understanding of numerical algorithms, their applicability, and their limitations. Topics typically include floatingpoint number representation, sources of error, conditioning and numerical stability, root finding, solutions of both linear and nonlinear systems, least squares, splines and polynomial interpolation, optimization, and numerical differentiation and integration. The implementation and validation of algorithms through computer programming is also emphasized. No prior programming experience is required.Prerequisite: Completion of two of the following courses: 170, 171, 211 and 270. This course is crosslisted as COMP 241. Offered in even numbered spring semesters.

10:30 AM11:20 AM, MWF TOME 121 
MATH 26201 
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. Offered every semester.

03:00 PM04:15 PM, MR TOME 121 
MATH 27001 
Integration and Infinite Series Instructor: Lorelei Koss 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.

09:00 AM10:15 AM, TR TOME 120 
MATH 27002 
Integration and Infinite Series Instructor: Lorelei Koss 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.

10:30 AM11:45 AM, TR TOME 120 
MATH 30101 
PIC Math (Preparation for Industrial Careers in Mathematics) – Data Science and Machine Learning Instructor: Eddie Tu Course Description:
Topics to be announced when offered.Prerequisite dependent upon topic. Onehalf or one course credit.

03:00 PM04:15 PM, MR TOME 232 
MATH 31401 
Computability and Complexity Instructor: Michael Skalak Course Description:
Crosslisted with COMP 31401. An introduction to the theory of computation, addressing the fundamental question of what problems can be solved using computers, both in principle and when efficiency is taken into account. Topics may include: finite automata, undecidable problems (such as the halting problem), Turing machines, regular languages, contextfree grammars, universal computation, elementary complexity classes, NPcompleteness, and the P vs NP problem. Prerequisite: COMP 132 and MATH 211. This course is crosslisted as COMP 314. Offered every spring.

09:00 AM10:15 AM, TR TOME 118 
MATH 32501 
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 and 225. Offered every spring.

11:30 AM12:20 PM, 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, and fields. Prerequisite: 262. Offered every spring.

01:30 PM02:45 PM, MR TOME 117 
MATH 35102 
Abstract Algebra Instructor: Holley Friedlander Course Description:
An introduction to axiomatic formalism using algebraic structures as paradigms. Topics chosen from groups, rings, and fields. Prerequisite: 262. Offered every spring.

09:00 AM10:15 AM, TR TOME 117 
MATH 48101 
Topology Instructor: David Richeson Course Description:
An elementary study of topological spaces. Topics include open and closed sets, the Hausdorff property, compactness, connectedness, continuity, homeomorphisms, product spaces, identification spaces, the Euler characteristic, the classification of spaces, and an introduction to the fundamental group. Prerequisite: 361 and completion of, or concurrent registration in 351. Offered in even numbered spring semesters.

09:00 AM10:15 AM, TR TOME 231 
MATH 48102 
Topology Instructor: David Richeson Course Description:
An elementary study of topological spaces. Topics include open and closed sets, the Hausdorff property, compactness, connectedness, continuity, homeomorphisms, product spaces, identification spaces, the Euler characteristic, the classification of spaces, and an introduction to the fundamental group. Prerequisite: 361 and completion of, or concurrent registration in 351. Offered in even numbered spring semesters.

10:30 AM11:45 AM, TR TOME 231 
MATH 50001 
Introduction to Graph Coloring Instructor: Barry Tesman Course Description:


MATH 50002 
Introduction to Combinatorics Instructor: Barry Tesman Course Description:


MATH 55001 
More Dynamics of the Dixon Elliptic Functions Instructor: Lorelei Koss Course Description:


MATH 56001 
A Mathematical Analysis of the Game Tilt Instructor: David Richeson, Barry Tesman Course Description:

