| 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.
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01:30 PM-02:45 PM, TF
TOME 117 |
| MATH 121-02 |
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.
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03:00 PM-04:15 PM, TF
TOME 117 |
| 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. Students who have received credit for MATH 170 cannot take this course for credit. Offered every semester.
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09:30 AM-10:20 AM, MWF
TOME 120
01:30 PM-02:50 PM, T
TOME 120 |
| MATH 151-02 |
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. Students who have received credit for MATH 170 cannot take this course for credit. Offered every semester.
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03:00 PM-04:20 PM, T
TOME 120
10:30 AM-11:20 AM, MWF
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.
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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: Melissa Innerst
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.
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10:30 AM-11:20 AM, MWF
TOME 117
03:00 PM-04:20 PM, W
TOME 120 |
| MATH 170-03 |
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.
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09:00 AM-10:15 AM, TR
TOME 118
01:30 PM-02:50 PM, R
TOME 118 |
| MATH 171-01 |
Multivariable Calculus
Instructor: Lorelei Koss
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.
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01:30 PM-02:50 PM, T
TOME 118
09:00 AM-10:15 AM, TR
TOME 117 |
| MATH 171-02 |
Multivariable Calculus
Instructor: Lorelei Koss
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.
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01:30 PM-02:50 PM, W
TOME 118
10:30 AM-11:45 AM, TR
TOME 117 |
| MATH 171-03 |
Multivariable Calculus
Instructor: David Richeson
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.
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01:30 PM-02:50 PM, R
TOME 120
09:00 AM-10:15 AM, TR
TOME 120 |
| MATH 180-01 |
Introduction to Data Science
Instructor: Zach Kessler
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 includes an introduction to the R statistical programming language.Prerequisites: MATH 170 or department placement. This course is cross-listed as COMP 180 and DATA 180. Offered every semester.
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01:30 PM-02:45 PM, TF
TOME 121 |
| MATH 180-02 |
Introduction to Data Science
Instructor: Lulu Wang
Course Description:
Cross-listed with DATA 180-02 and COMP 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 includes an introduction to the R statistical programming language.Prerequisites: MATH 170 or department placement. This course is cross-listed as COMP 180 and DATA 180. Offered every semester.
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03:00 PM-04:15 PM, MR
TOME 121 |
| MATH 211-01 |
Foundations of Higher Mathematics
Instructor: Holley Friedlander
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.
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09:00 AM-10:15 AM, TR
TOME 232 |
| MATH 211-02 |
Foundations of Higher Mathematics
Instructor: Holley Friedlander
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.
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10:30 AM-11:45 AM, TR
TOME 232 |
| MATH 225-01 |
Probability and Statistics I
Instructor: Melissa Innerst
Course Description:
A calculus-based 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. The course includes an introduction to the R statistical programming language. Prerequisite: 171. Offered every semester.
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12:30 PM-01:20 PM, MWF
TOME 121 |
| MATH 225-02 |
Probability and Statistics I
Instructor: Tony Mixell
Course Description:
A calculus-based 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. The course includes an introduction to the R statistical programming language. Prerequisite: 171. Offered every semester.
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10:30 AM-11:45 AM, TR
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.
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01:30 PM-02:45 PM, MR
TOME 121 |
| MATH 301-01 |
Graph Theory
Instructor: Barry Tesman
Course Description:
Graph theory is the mathematical study of networks. Applications of graph theory can be found in the arts, the humanities, the social sciences, the laboratory sciences, and, of course, mathematics. This course will introduce the basic terminology and results of graph theory; teach students how to construct rigorous arguments and useful examples. Specific topics will include Euler and Hamiltonian circuits, matching, connectivity and network flows, graph colorings, and algorithms. Particular attention will be paid to applications.
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01:30 PM-02:45 PM, MR
TOME 117 |
| MATH 325-01 |
Probability and Statistics II
Instructor: Chris Fowler
Course Description:
A continuation of Introduction to Probability and Statistics I. Topics include additional discrete and continuous distributions, conditional distributions, moment generating functions, additional hypothesis tests, simple linear regression and correlation, multiple linear regression, and analysis of variance. The course expands proficiency in the R statistical programming language. Prerequisites: 171 and 225. Offered every semester.
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09:00 AM-10:15 AM, TR
TOME 121 |
| MATH 361-01 |
Real Analysis
Instructor: Holley Friedlander
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 point-set topology.Prerequisite: 171, 262 and 270. Offered every fall.
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03:00 PM-04:15 PM, MR
TOME 117 |