MATH 12101 
Elementary Statistics Instructor: Tony 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.

1330:MR TOME 121 
MATH 12102 
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.

1330:TF TOME 121 
MATH 12103 
Elementary Statistics Instructor: Chris Fowler 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.

1230:MWF 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:M TOME 120 0830:MWF TOME 121 
MATH 15102 
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:T TOME 120 1030:MWF TOME 121 
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.

0830:MWF TOME 117 1330:R TOME 120 
MATH 17002 
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.

1030:MWF TOME 117 1500:R TOME 120 
MATH 17003 
Single Variable Calculus Instructor: Jennifer Schaefer 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:W TOME 118 0930:MWF TOME 231 
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. Offered every semester.

0930:MWF TOME 120 1500:W TOME 120 
MATH 17102 
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. Offered every semester.

1030:MWF TOME 120 1500:T TOME 120 
MATH 17103 
Multivariable Calculus Instructor: Lorelei Koss 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.

0900:TR TOME 120 1330:W TOME 120 
MATH 21101 
Discrete Mathematics Instructor: Eddie Tu 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.

1030:MWF TOME 232 
MATH 21102 
Discrete Mathematics Instructor: Eddie Tu 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.

1130:MWF TOME 232 
MATH 22501 
Probability and Statistics I Instructor: Jeffrey Forrester Course Description:
An introduction to the core topics of probability and statistics. Topics include discrete and continuous random variables, joint distributions, expectation, variance, random sampling from populations, hypothesis tests, and confidence intervals.Prerequisite: 171. Offered in even numbered fall semesters.

1130:MWF TOME 121 
MATH 22502 
Probability and Statistics I Instructor: Jeffrey Forrester Course Description:
An introduction to the core topics of probability and statistics. Topics include discrete and continuous random variables, joint distributions, expectation, variance, random sampling from populations, hypothesis tests, and confidence intervals.Prerequisite: 171. Offered in even numbered fall semesters.

0930:MWF TOME 122 
MATH 26201 
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. Offered every semester.

1330:TF TOME 117 
MATH 27101 
Differential Equations Instructor: Lorelei Koss Course Description:
Elementary methods of solutions of selected types of differential equations; solutions of systems of linear differential equations with constant coefficients; and a brief introduction to numerical methods and series solutions. Includes a strong emphasis on applications.Prerequisite: 171 and 270. Offered in odd numbered fall semesters.

1030:TR TOME 120 
MATH 33101 
Operations Research Instructor: Dick Forrester Course Description:
Crosslisted with COMP 33101. An introduction to deterministic operations research, including linear programming, sensitivity analysis, and duality. Special topics may include transportation and assignment problems, network models, integer programming, and game theory.Prerequisite: 262. This course is crosslisted as COMP 331. Offered in odd numbered fall semesters.

0930:MWF TOME 121 
MATH 36101 
Real Analysis Instructor: David Richeson Course Description:
A theoretical development of the basic ideas and concepts of real analysis. Topics include a study of real numbers, sequences, limits and continuity, differentiation and integration. Optional topics include infinite series, sequences and series of functions, and an introduction to pointset topology.Prerequisite: 171, 262 and 270. Offered every fall.

0900:TR TOME 121 
MATH 36102 
Real Analysis Instructor: David Richeson Course Description:
A theoretical development of the basic ideas and concepts of real analysis. Topics include a study of real numbers, sequences, limits and continuity, differentiation and integration. Optional topics include infinite series, sequences and series of functions, and an introduction to pointset topology.Prerequisite: 171, 262 and 270. Offered every fall.

1030:TR TOME 231 
MATH 50001 
Likelihood Theory and Applications Instructor: Jeffrey Forrester Course Description:


MATH 50002 
Machine Learning Instructor: Eddie Tu Course Description:


MATH 50003 
Likelihood Theory and Applications Instructor: Jeffrey Forrester Course Description:


MATH 50004 
Machine Learning Instructor: Eddie Tu Course Description:


MATH 50005 
Introduction to Cryptography Instructor: Barry Tesman Course Description:

