| MATH 121-01 |
Elementary Statistics
Instructor: Dick Forrester
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.
|
09:00 AM-10:15 AM, TR
TOME 121 |
| MATH 121-02 |
Elementary Statistics
Instructor: Dick Forrester
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.
|
10:30 AM-11:45 AM, TR
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. Students who have received credit for MATH 170 cannot take this course for credit. Offered every semester.
|
11:30 AM-12:20 PM, MWF
TOME 120
01:30 PM-02:50 PM, W
TOME 120 |
| MATH 170-01 |
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.
|
01:30 PM-02:50 PM, R
TOME 120
10:30 AM-11:20 AM, MWF
TOME 231 |
| 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.
|
11:30 AM-12:20 PM, MWF
TOME 117
01:30 PM-02:50 PM, M
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.
|
12:30 PM-01:20 PM, MWF
TOME 117
03:00 PM-04:20 PM, M
TOME 120 |
| MATH 170-04 |
Single Variable Calculus
Instructor: Tracy McKay
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.
|
01:30 PM-02:50 PM, T
TOME 118
10:30 AM-11:45 AM, TR
TOME 122 |
| MATH 171-01 |
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.
|
03:00 PM-04:20 PM, T
TOME 120
08:30 AM-09:20 AM, MWF
TOME 120 |
| MATH 171-02 |
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.
|
01:30 PM-02:45 PM, MR
TOME 118
01:30 PM-02:50 PM, W
TOME 121 |
| 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.
|
03:00 PM-04:20 PM, W
TOME 121
03:00 PM-04:15 PM, MR
TOME 118 |
| MATH 180-01 |
Introduction to Data Science
Instructor: Zach Kessler
Course Description:
Cross-listed with DATA 180-01 and COMP 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.
|
01:30 PM-02:45 PM, TF
TOME 121 |
| MATH 180-02 |
Introduction to Data Science
Instructor: Zach Kessler
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 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.
|
03:00 PM-04:15 PM, TF
TOME 121 |
| MATH 211-01 |
Foundations of Higher Mathematics
Instructor: Jennifer Schaefer
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 117 |
| MATH 211-02 |
Foundations of Higher Mathematics
Instructor: Jennifer Schaefer
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 117 |
| 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.
|
12:30 PM-01:20 PM, MWF
TOME 231 |
| MATH 225-02 |
Probability and Statistics I
Instructor: Chris Fowler
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.
|
10:30 AM-11:45 AM, TR
TOME 118 |
| MATH 262-01 |
Linear Algebra
Instructor: Dick Forrester
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.
|
01:30 PM-02:45 PM, MR
TOME 121 |
| MATH 270-01 |
Integration and Infinite Series
Instructor: Barry Tesman
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-11:20 AM, MWF
TOME 117 |
| MATH 301-01 |
Introduction to Number Theory
Instructor: Jennifer Schaefer
Course Description:
The course aims to introduce the basic concepts of elementary number theory. Some highlights are the fundamental theorem of arithmetic, congruence, Fermat's little theorem, and quadratic reciprocity. Applications of number theory, including ISBNs, divisibility criteria, cryptography, and coding theory, will be also explored.
|
09:30 AM-10:20 AM, MWF
TOME 117 |
| MATH 314-01 |
Computability and Complexity
Instructor: Matt Ferland
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.
|
03:00 PM-04:15 PM, MR
TOME 231 |
| 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.
|
09:00 AM-10:15 AM, TR
TOME 118 |
| MATH 351-01 |
Abstract Algebra
Instructor: Barry Tesman
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 472-01 |
Complex Analysis
Instructor: Lorelei Koss
Course Description:
An introductory study of functions in the complex plane. Topics include: complex numbers and functions, the theory of differentiation and integration of complex functions; Cauchy's integral theorem; the Residue theorem. Prerequisite: 361 and completion of, or concurrent registration in 351. Offered in odd numbered spring semesters.
|
09:00 AM-10:15 AM, TR
TOME 232 |
| MATH 472-02 |
Complex Analysis
Instructor: Lorelei Koss
Course Description:
An introductory study of functions in the complex plane. Topics include: complex numbers and functions, the theory of differentiation and integration of complex functions; Cauchy's integral theorem; the Residue theorem. Prerequisite: 361 and completion of, or concurrent registration in 351. Offered in odd numbered spring semesters.
|
10:30 AM-11:45 AM, TR
TOME 232 |
| MATH 550-01 |
Countable Dynamical Systems
Instructor: David Richeson
Course Description:
|
|