Fall 2019

Course Code Title/Instructor Meets
MATH 121-01 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 121-02 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 121-03 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 151-01 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 151-02 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 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.
0830:MWF   TOME 117
1330:R   TOME 120
MATH 170-02 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.
1030:MWF   TOME 117
1500:R   TOME 120
MATH 170-03 Single Variable Calculus
Instructor: Jennifer Schaefer
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.
1330:W   TOME 118
0930:MWF   TOME 231
MATH 171-01 Multivariable Calculus
Instructor: Holley Friedlander
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.
0930:MWF   TOME 120
1500:W   TOME 120
MATH 171-02 Multivariable Calculus
Instructor: Holley Friedlander
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.
1030:MWF   TOME 120
1500:T   TOME 120
MATH 171-03 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.
0900:TR   TOME 120
1330:W   TOME 120
MATH 211-01 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 211-02 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 225-01 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 225-02 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 262-01 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 271-01 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 331-01 Operations Research
Instructor: Dick Forrester
Course Description:
Cross-listed with COMP 331-01. 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 cross-listed as COMP 331. Offered in odd numbered fall semesters.
0930:MWF   TOME 121
MATH 361-01 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 point-set topology.Prerequisite: 171, 262 and 270. Offered every fall.
0900:TR   TOME 121
MATH 361-02 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 point-set topology.Prerequisite: 171, 262 and 270. Offered every fall.
1030:TR   TOME 231
MATH 500-01 Likelihood Theory and Applications
Instructor: Jeffrey Forrester
Course Description:
 
MATH 500-02 Machine Learning
Instructor: Eddie Tu
Course Description:
 
MATH 500-03 Likelihood Theory and Applications
Instructor: Jeffrey Forrester
Course Description:
 
MATH 500-04 Machine Learning
Instructor: Eddie Tu
Course Description:
 
MATH 500-05 Introduction to Cryptography
Instructor: Barry Tesman
Course Description: