Spring 2022

Course Code Title/Instructor Meets
MATH 121-01 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 PM-02:45 PM, TF
TOME 121
MATH 121-02 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 PM-04:15 PM, TF
TOME 121
MATH 151-01 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 AM-11:20 AM, MWF
TOME 120
03:00 PM-04:20 PM, T
TOME 120
MATH 170-01 Single Variable Calculus
Instructor: Barry Tesman
Course Description:
The study of real-valued 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 AM-10:20 AM, MWF
TOME 117
03:00 PM-04:20 PM, R
TOME 120
MATH 170-02 Single Variable Calculus
Instructor: Tony Mixell
Course Description:
The study of real-valued 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 AM-11:45 AM, TR
TOME 118
03:00 PM-04:20 PM, M
TOME 118
MATH 170-03 Single Variable Calculus
Instructor: Chris Fowler
Course Description:
The study of real-valued 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 PM-05:50 PM, W
TOME 120
03:00 PM-04:15 PM, MR
TOME 117
MATH 170-04 Single Variable Calculus
Instructor: Barry Tesman
Course Description:
The study of real-valued 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 AM-12:20 PM, MWF
TOME 117
01:30 PM-02:50 PM, R
TOME 120
MATH 171-01 Multivariable Calculus
Instructor: Jennifer Schaefer
Course Description:
Multivariable calculus including parametric and polar equations, vectors, three-dimensional analytic geometry, vector-valued 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 PM-02:50 PM, F
TOME 118
09:30 AM-10:20 AM, MWF
TOME 231
MATH 171-02 Multivariable Calculus
Instructor: Jennifer Schaefer
Course Description:
Multivariable calculus including parametric and polar equations, vectors, three-dimensional analytic geometry, vector-valued 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 AM-12:20 PM, MWF
TOME 231
01:30 PM-02:50 PM, R
TOME 118
MATH 171-03 Multivariable Calculus
Instructor: Jeffrey Forrester
Course Description:
Multivariable calculus including parametric and polar equations, vectors, three-dimensional analytic geometry, vector-valued 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 AM-09:20 AM, MWF
TOME 118
03:00 PM-04:20 PM, T
TOME 118
MATH 180-01 Introduction to Data Science
Instructor: Xiexin Liu
Course Description:
Cross-listed with COMP 180-01 and DATA 180-01. 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 cross-listed as COMP 180 and DATA 180.
09:00 AM-10:15 AM, TR
TOME 121
MATH 180-02 Introduction to Data Science
Instructor: Xiexin Liu
Course Description:
Cross-listed with COMP 180-02 and DATA 180-02. 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 cross-listed as COMP 180 and DATA 180.
10:30 AM-11:45 AM, TR
TOME 121
MATH 211-01 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 AM-10:15 AM, TR
TOME 232
MATH 211-02 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 AM-11:45 AM, TR
TOME 232
MATH 241-02 Computational Mathematics
Instructor: Dick Forrester
Course Description:
Cross-listed with COMP 241-02. 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 floating-point 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 cross-listed as COMP 241. Offered in even numbered spring semesters.
10:30 AM-11:20 AM, MWF
TOME 121
MATH 262-01 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 PM-04:15 PM, MR
TOME 121
MATH 270-01 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 AM-10:15 AM, TR
TOME 120
MATH 270-02 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 AM-11:45 AM, TR
TOME 120
MATH 301-01 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. One-half or one course credit.
03:00 PM-04:15 PM, MR
TOME 232
MATH 314-01 Computability and Complexity
Instructor: Michael Skalak
Course Description:
Cross-listed with COMP 314-01. 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, context-free grammars, universal computation, elementary complexity classes, NP-completeness, and the P vs NP problem. Prerequisite: COMP 132 and MATH 211. This course is cross-listed as COMP 314. Offered every spring.
09:00 AM-10:15 AM, TR
TOME 118
MATH 325-01 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 AM-12:20 PM, MWF
TOME 121
MATH 351-01 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 PM-02:45 PM, MR
TOME 117
MATH 351-02 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 AM-10:15 AM, TR
TOME 117
MATH 481-01 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 AM-10:15 AM, TR
TOME 231
MATH 481-02 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 AM-11:45 AM, TR
TOME 231
MATH 500-01 Introduction to Graph Coloring
Instructor: Barry Tesman
Course Description:

MATH 500-02 Introduction to Combinatorics
Instructor: Barry Tesman
Course Description:

MATH 550-01 More Dynamics of the Dixon Elliptic Functions
Instructor: Lorelei Koss
Course Description:

MATH 560-01 A Mathematical Analysis of the Game Tilt
Instructor: David Richeson, Barry Tesman
Course Description: