MATH 12101 
Elementary Statistics Instructor: Sarah Bryant 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 12102 
Elementary Statistics Instructor: David Sulon 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 12103 
Elementary Statistics Instructor: Sarah Bryant 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 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.

0830:MWF TOME 120 1330:W TOME 120 
MATH 15102 
Introduction to Calculus Instructor: David Sulon 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 0930:MWF TOME 121 
MATH 15103 
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.

0930:MWF TOME 120 1500:W 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.

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.

0930:MWF TOME 115 1500:R TOME 120 
MATH 17003 
Single Variable Calculus Instructor: Eddie Tu 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:T TOME 120 
MATH 17004 
Single Variable Calculus Instructor: Lorelei Koss 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.

1500:R TOME 118 1030:TR TOME 120 
MATH 17101 
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.

0930:MWF TOME 117 1330:T TOME 120 
MATH 17102 
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.

1030:MWF TOME 120 1500:M TOME 120 
MATH 20101 
Dynamical Systems and Information Theory Instructor: Lorelei Koss Course Description:
In dynamical systems, we study how processes change with time. Realworld examples of dynamical systems include the stock market, the motion of planets and galaxies, population growth and decline, weather systems, and chemical changes. Dynamical systems that are chaotic exhibit some type of unpredictability in their behavior. While topics in dynamical systems have been studied for hundreds of years, the recent development of computer graphics has contributed to a surge of interest and progress in the field. Our focus will be on onedimensional real dynamical systems and symbolic dynamics.
We will also explore the relationship between dynamical systems and information theory. In particular, we will study ways in which we can code information for efficiency. When you ZIP a file on your computer, you are compressing data, but you expect that you will be able to recover this data later. How can you encode a particular message in a way so that you can both minimize the space needed to store it but also be able to recover the original data? We will see how the how the topics of entropy as well as the Noiseless Coding Theorem help answer these questions.

1330:TF TOME 118 
MATH 21101 
Discrete Mathematics Instructor: David Richeson 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:MWF TOME 231 
MATH 21102 
Discrete Mathematics Instructor: David Richeson 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.

1230:MWF TOME 231 
MATH 22501 
Probability and Statistics I Instructor: Eddie Tu 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 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. Offered every semester.

1030:TR TOME 121 
MATH 31101 
Applied Combinatorics Instructor: Barry Tesman Course Description:
An advanced course in discrete mathematics introducing the basic tools of combinatorics and their applications. The course will consider the three basic problems of combinatorics; counting, existence and optimization. Prerequisite: 211. Offered even numbered spring semesters.

1230:MWF TOME 117 
MATH 36101 
Real Analysis Instructor: Lorelei Koss 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 117 
MATH 55001 
Mathematical Braid Theory Instructor: David Richeson Course Description:


MATH 55002 
Honors Research: Real Dynamic Systems Instructor: Lorelei Koss Course Description:

