MATH Courses for Fall 2026
Please click on the course title for more information.
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MATH 115 01 - Calculus I
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Course: |
MATH 115 - 01 |
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Title: |
Calculus I |
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Credit Hours: |
1 |
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Description: |
Introduction to differential and integral calculus for functions of one variable. The heart of calculus is the study of rates of change. Differential calculus concerns the process of finding the rate at which a quantity is changing (the derivative). Integral calculus reverses this process. Information is given about the derivative, and the process of integration finds the "integral," which measures accumulated change. This course aims to develop a thorough understanding of the concepts of differentiation and integration, and covers techniques and applications of differentiation and integration of algebraic, trigonometric, logarithmic, and exponential functions. MATH 115 is an introductory course designed for students who have not seen calculus before. |
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Prerequisite(s): |
Not open to students who have completed MATH 116, MATH 120, MATH 205 or the equivalent. Not open to students whose placement is MATH 205 or MATH 206. |
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Notes: |
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Distribution(s): |
Mathematical Modeling and Problem Solving |
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Instructors: |
Ann Trenk |
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Meeting Time(s): |
Science Center E Wing 311 Classroom - TF 8:30 AM - 9:45 AM
Science Center E Wing 311 Classroom - W 8:30 AM - 9:20 AM |
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MATH 115 03 - Calculus I
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Course: |
MATH 115 - 03 |
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Title: |
Calculus I |
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Credit Hours: |
1 |
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Description: |
Introduction to differential and integral calculus for functions of one variable. The heart of calculus is the study of rates of change. Differential calculus concerns the process of finding the rate at which a quantity is changing (the derivative). Integral calculus reverses this process. Information is given about the derivative, and the process of integration finds the "integral," which measures accumulated change. This course aims to develop a thorough understanding of the concepts of differentiation and integration, and covers techniques and applications of differentiation and integration of algebraic, trigonometric, logarithmic, and exponential functions. MATH 115 is an introductory course designed for students who have not seen calculus before. |
|
Prerequisite(s): |
Not open to students who have completed MATH 116, MATH 120, MATH 205 or the equivalent. Not open to students whose placement is MATH 205 or MATH 206. |
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Notes: |
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Distribution(s): |
Mathematical Modeling and Problem Solving |
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Instructors: |
Karen Lange |
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Meeting Time(s): |
Science Center L Wing 047 Classroom - TF 12:45 PM - 2:00 PM
Science Center L Wing 047 Classroom - W 1:30 PM - 2:20 PM |
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MATH 115 02 - Calculus I
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Course: |
MATH 115 - 02 |
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Title: |
Calculus I |
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Credit Hours: |
1 |
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Description: |
Introduction to differential and integral calculus for functions of one variable. The heart of calculus is the study of rates of change. Differential calculus concerns the process of finding the rate at which a quantity is changing (the derivative). Integral calculus reverses this process. Information is given about the derivative, and the process of integration finds the "integral," which measures accumulated change. This course aims to develop a thorough understanding of the concepts of differentiation and integration, and covers techniques and applications of differentiation and integration of algebraic, trigonometric, logarithmic, and exponential functions. MATH 115 is an introductory course designed for students who have not seen calculus before. |
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Prerequisite(s): |
Not open to students who have completed MATH 116, MATH 120, MATH 205 or the equivalent. Not open to students whose placement is MATH 205 or MATH 206. |
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Notes: |
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Distribution(s): |
Mathematical Modeling and Problem Solving |
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Instructors: |
Karen Lange |
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Meeting Time(s): |
Science Center L Wing 047 Classroom - TF 11:20 AM - 12:35 PM
Science Center L Wing 047 Classroom - W 12:30 PM - 1:20 PM |
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MATH 115P 01 - Calculus I
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Course: |
MATH 115P - 01 |
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Title: |
Calculus I |
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Credit Hours: |
1.25 |
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Description: |
Introduction to differential and integral calculus for functions of one variable. The heart of calculus is the study of rates of change. Differential calculus concerns the process of finding the rate at which a quantity is changing (the derivative). Integral calculus reverses this process. Information is given about the derivative, and the process of integration finds the "integral," which measures accumulated change. This course aims to develop a thorough understanding of the concepts of differentiation and integration, and covers techniques and applications of differentiation and integration of algebraic, trigonometric, logarithmic, and exponential functions. In addition to the material from Math 115, this course spends additional time strengthening students' precalculus skills, covering topics such as proportions and percents, linear and exponential growth, and logarithms. MATH 115P is an introductory course designed for students who have not seen calculus before and who would benefit from extra academic support on precalculus topics. |
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Prerequisite(s): |
Permission of the instructor. |
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Notes: |
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Distribution(s): |
Mathematical Modeling and Problem Solving |
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Instructors: |
Alexander James Diesl |
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Meeting Time(s): |
Science Center L Wing 035 Classroom - MTRF 8:30 AM - 9:45 AM
Science Center L Wing 035 Classroom - W 8:30 AM - 9:20 AM |
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MATH 116 01 - Calculus II
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Course: |
MATH 116 - 01 |
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Title: |
Calculus II |
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Credit Hours: |
1 |
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Description: |
The course begins with applications and techniques of integration. It probes notions of limit and convergence and adds techniques for finding limits. Half of the course covers infinite sequences and series, where the basic question is, What meaning can we attach to a sum with infinitely many terms and why might we care? The course can help students improve their ability to reason abstractly and also teaches important computational techniques. Topics include integration techniques, l'Hôpital's rule, improper integrals, geometric and other applications of integration, infinite series, power series, and Taylor series. MATH 116 is the appropriate first course for many students who have had AB calculus in high school. |
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Prerequisite(s): |
MATH 115 or MATH 115Z, or the equivalent. Not open to students who have completed MATH 120 or MATH 205. Not open to students whose math placement is MATH 206. |
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Notes: |
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Distribution(s): |
Mathematical Modeling and Problem Solving |
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Instructors: |
Andy C Schultz |
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Meeting Time(s): |
Science Center L Wing 047 Classroom - MR 8:30 AM - 9:45 AM
Science Center L Wing 047 Classroom - W 8:30 AM - 9:20 AM |
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MATH 116 02 - Calculus II
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Course: |
MATH 116 - 02 |
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Title: |
Calculus II |
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Credit Hours: |
1 |
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Description: |
The course begins with applications and techniques of integration. It probes notions of limit and convergence and adds techniques for finding limits. Half of the course covers infinite sequences and series, where the basic question is, What meaning can we attach to a sum with infinitely many terms and why might we care? The course can help students improve their ability to reason abstractly and also teaches important computational techniques. Topics include integration techniques, l'Hôpital's rule, improper integrals, geometric and other applications of integration, infinite series, power series, and Taylor series. MATH 116 is the appropriate first course for many students who have had AB calculus in high school. |
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Prerequisite(s): |
MATH 115 or MATH 115Z, or the equivalent. Not open to students who have completed MATH 120 or MATH 205. Not open to students whose math placement is MATH 206. |
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Notes: |
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Distribution(s): |
Mathematical Modeling and Problem Solving |
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Instructors: |
Oscar Fernandez |
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Meeting Time(s): |
Science Center L Wing 039 Classroom - MR 9:55 AM - 11:10 AM
Science Center L Wing 039 Classroom - W 9:30 AM - 10:20 AM |
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MATH 116 05 - Calculus II
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Course: |
MATH 116 - 05 |
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Title: |
Calculus II |
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Credit Hours: |
1 |
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Description: |
The course begins with applications and techniques of integration. It probes notions of limit and convergence and adds techniques for finding limits. Half of the course covers infinite sequences and series, where the basic question is, What meaning can we attach to a sum with infinitely many terms and why might we care? The course can help students improve their ability to reason abstractly and also teaches important computational techniques. Topics include integration techniques, l'Hôpital's rule, improper integrals, geometric and other applications of integration, infinite series, power series, and Taylor series. MATH 116 is the appropriate first course for many students who have had AB calculus in high school. |
|
Prerequisite(s): |
MATH 115 or MATH 115Z, or the equivalent. Not open to students who have completed MATH 120 or MATH 205. Not open to students whose math placement is MATH 206. |
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Notes: |
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Distribution(s): |
Mathematical Modeling and Problem Solving |
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Instructors: |
Stanley Chang |
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Meeting Time(s): |
Founders 307 Classroom - TF 11:20 AM - 12:35 PM
Founders 307 Classroom - W 12:30 PM - 1:20 PM |
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MATH 116 04 - Calculus II
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Course: |
MATH 116 - 04 |
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Title: |
Calculus II |
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Credit Hours: |
1 |
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Description: |
The course begins with applications and techniques of integration. It probes notions of limit and convergence and adds techniques for finding limits. Half of the course covers infinite sequences and series, where the basic question is, What meaning can we attach to a sum with infinitely many terms and why might we care? The course can help students improve their ability to reason abstractly and also teaches important computational techniques. Topics include integration techniques, l'Hôpital's rule, improper integrals, geometric and other applications of integration, infinite series, power series, and Taylor series. MATH 116 is the appropriate first course for many students who have had AB calculus in high school. |
|
Prerequisite(s): |
MATH 115 or MATH 115Z, or the equivalent. Not open to students who have completed MATH 120 or MATH 205. Not open to students whose math placement is MATH 206. |
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Notes: |
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Distribution(s): |
Mathematical Modeling and Problem Solving |
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Instructors: |
Megan Kerr |
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Meeting Time(s): |
Science Center Hub 401 Classroom - TF 9:55 AM - 11:10 AM
Science Center Hub 401 Classroom - W 10:30 AM - 11:20 AM |
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MATH 116 03 - Calculus II
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Course: |
MATH 116 - 03 |
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Title: |
Calculus II |
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Credit Hours: |
1 |
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Description: |
The course begins with applications and techniques of integration. It probes notions of limit and convergence and adds techniques for finding limits. Half of the course covers infinite sequences and series, where the basic question is, What meaning can we attach to a sum with infinitely many terms and why might we care? The course can help students improve their ability to reason abstractly and also teaches important computational techniques. Topics include integration techniques, l'Hôpital's rule, improper integrals, geometric and other applications of integration, infinite series, power series, and Taylor series. MATH 116 is the appropriate first course for many students who have had AB calculus in high school. |
|
Prerequisite(s): |
MATH 115 or MATH 115Z, or the equivalent. Not open to students who have completed MATH 120 or MATH 205. Not open to students whose math placement is MATH 206. |
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Notes: |
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Distribution(s): |
Mathematical Modeling and Problem Solving |
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Instructors: |
Megan Kerr |
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Meeting Time(s): |
Science Center Hub 401 Classroom - TF 8:30 AM - 9:45 AM
Science Center Hub 401 Classroom - W 8:30 AM - 9:20 AM |
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MATH 120 01 - Calculus IIA
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Course: |
MATH 120 - 01 |
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Title: |
Calculus IIA |
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Credit Hours: |
1 |
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Description: |
This course is a variant of MATH 116 for students who have a thorough knowledge of the techniques of differentiation and integration, and familiarity with inverse trigonometric functions and the logarithmic and exponential functions. It includes a rigorous and careful treatment of limits, sequences and series, Taylor's theorem, approximations and numerical methods, Riemann sums, improper integrals, l'Hôpital's rule, and applications of integration. |
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Prerequisite(s): |
Open to First-Year students who have completed a year of high school calculus, or by permission of the instructor. Not open to students who have completed MATH 116, MATH 205 or the equivalent. |
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Notes: |
Students who have studied Taylor series should take MATH 205 instead. |
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Distribution(s): |
Mathematical Modeling and Problem Solving |
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Instructors: |
Karamatou Yacoubou Djima |
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Meeting Time(s): |
Science Center L Wing 045 Classroom - MR 9:55 AM - 11:10 AM
Science Center L Wing 045 Classroom - W 9:30 AM - 10:20 AM |
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MATH 123 01 - The Mathematics of Democracy
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Course: |
MATH 123 - 01 |
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Title: |
The Mathematics of Democracy |
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Credit Hours: |
1 |
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Description: |
How can a candidate in a political race win the majority of votes yet lose the election? How can two competing candidates interpret the same statistic as being in their favor? How can the geometry of the voting district disenfranchise entire groups of voters? Can we quantify the power the President of the United States has? In this course, we will look at the mathematics behind these and related questions that arise in politics. We will study topics such as fairness, voting paradoxes, social choice, game theory, apportionment, gerrymandering, and data interpretation. The goal of the class will be to illustrate the importance of rigorous reasoning in various social and political processes while providing an introduction to some fascinating mathematics. |
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Prerequisite(s): |
None. |
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Notes: |
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Distribution(s): |
Mathematical Modeling and Problem Solving |
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Cross Listed Courses: |
PEAC 123 01 - The Mathematics of Democracy
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Instructors: |
Ismar Volić |
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Meeting Time(s): |
Science Center Hub 305 Classroom - MR 11:20 AM - 12:35 PM |
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MATH 205 02 - Multivariable Calculus
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Course: |
MATH 205 - 02 |
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Title: |
Multivariable Calculus |
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Credit Hours: |
1 |
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Description: |
Most real-world systems that one may want to model, whether in the natural or in the social sciences, have many interdependent parameters. To apply calculus to these systems, we need to extend the ideas and techniques of single-variable Calculus to functions of more than one variable. Topics include vectors, matrices, determinants, polar, cylindrical, and spherical coordinates, curves, partial derivatives, gradients and directional derivatives, Lagrange multipliers, multiple integrals, vector calculus: line integrals, surface integrals, divergence, curl, Green's Theorem, Divergence Theorem, and Stokes’ Theorem. |
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Prerequisite(s): |
MATH 116 or MATH 120. |
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Notes: |
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Distribution(s): |
Mathematical Modeling and Problem Solving |
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Instructors: |
Charles Bu |
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Meeting Time(s): |
Science Center Hub 403 Classroom - MR 2:20 PM - 3:35 PM
Science Center Hub 403 Classroom - W 2:30 PM - 3:20 PM |
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MATH 205 01 - Multivariable Calculus
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Course: |
MATH 205 - 01 |
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Title: |
Multivariable Calculus |
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Credit Hours: |
1 |
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Description: |
Most real-world systems that one may want to model, whether in the natural or in the social sciences, have many interdependent parameters. To apply calculus to these systems, we need to extend the ideas and techniques of single-variable Calculus to functions of more than one variable. Topics include vectors, matrices, determinants, polar, cylindrical, and spherical coordinates, curves, partial derivatives, gradients and directional derivatives, Lagrange multipliers, multiple integrals, vector calculus: line integrals, surface integrals, divergence, curl, Green's Theorem, Divergence Theorem, and Stokes’ Theorem. |
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Prerequisite(s): |
MATH 116 or MATH 120. |
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Notes: |
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Distribution(s): |
Mathematical Modeling and Problem Solving |
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Instructors: |
Joe Lauer |
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Meeting Time(s): |
Science Center E Wing 311 Classroom - MR 11:20 AM - 12:35 PM
Science Center E Wing 311 Classroom - W 11:30 AM - 12:20 PM |
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MATH 205 03 - Multivariable Calculus
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Course: |
MATH 205 - 03 |
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Title: |
Multivariable Calculus |
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Credit Hours: |
1 |
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Description: |
Most real-world systems that one may want to model, whether in the natural or in the social sciences, have many interdependent parameters. To apply calculus to these systems, we need to extend the ideas and techniques of single-variable Calculus to functions of more than one variable. Topics include vectors, matrices, determinants, polar, cylindrical, and spherical coordinates, curves, partial derivatives, gradients and directional derivatives, Lagrange multipliers, multiple integrals, vector calculus: line integrals, surface integrals, divergence, curl, Green's Theorem, Divergence Theorem, and Stokes’ Theorem. |
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Prerequisite(s): |
MATH 116 or MATH 120. |
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Notes: |
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Distribution(s): |
Mathematical Modeling and Problem Solving |
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Instructors: |
Charles Bu |
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Meeting Time(s): |
Science Center Hub 403 Classroom - MR 3:45 PM - 5:00 PM
Science Center Hub 403 Classroom - W 3:30 PM - 4:20 PM |
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MATH 205 04 - Multivariable Calculus
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Course: |
MATH 205 - 04 |
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Title: |
Multivariable Calculus |
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Credit Hours: |
1 |
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Description: |
Most real-world systems that one may want to model, whether in the natural or in the social sciences, have many interdependent parameters. To apply calculus to these systems, we need to extend the ideas and techniques of single-variable Calculus to functions of more than one variable. Topics include vectors, matrices, determinants, polar, cylindrical, and spherical coordinates, curves, partial derivatives, gradients and directional derivatives, Lagrange multipliers, multiple integrals, vector calculus: line integrals, surface integrals, divergence, curl, Green's Theorem, Divergence Theorem, and Stokes’ Theorem. |
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Prerequisite(s): |
MATH 116 or MATH 120. |
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Notes: |
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Distribution(s): |
Mathematical Modeling and Problem Solving |
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Instructors: |
Philip Hirschhorn |
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Meeting Time(s): |
Founders 126 Classroom - TF 2:10 PM - 3:25 PM
Founders 126 Classroom - W 3:30 PM - 4:20 PM |
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MATH 206 02 - Linear Algebra
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Course: |
MATH 206 - 02 |
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Title: |
Linear Algebra |
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Credit Hours: |
1 |
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Description: |
Linear algebra is one of the most beautiful subjects in the undergraduate mathematics curriculum. It is also one of the most important with many possible applications. In this course, students learn computational techniques that have widespread applications in the natural and social sciences as well as in industry, finance, and management. There is also a focus on learning how to understand and write mathematical proofs and an emphasis on improving mathematical style and sophistication. Topics include vector spaces, subspaces, linear independence, bases, dimension, inner products, linear transformations, matrix representations, range and null spaces, inverses, and eigenvalues. |
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Prerequisite(s): |
MATH 205 or MATH 215; or, with permission of the instructor, MATH 116, MATH 120, or the equivalent. |
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Notes: |
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Distribution(s): |
Mathematical Modeling and Problem Solving |
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Instructors: |
Clara Chan |
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Meeting Time(s): |
Science Center Hub 303 Classroom - TF 11:20 AM - 12:35 PM
Science Center Hub 303 Classroom - W 12:30 PM - 1:20 PM |
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MATH 206 01 - Linear Algebra
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Course: |
MATH 206 - 01 |
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Title: |
Linear Algebra |
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Credit Hours: |
1 |
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Description: |
Linear algebra is one of the most beautiful subjects in the undergraduate mathematics curriculum. It is also one of the most important with many possible applications. In this course, students learn computational techniques that have widespread applications in the natural and social sciences as well as in industry, finance, and management. There is also a focus on learning how to understand and write mathematical proofs and an emphasis on improving mathematical style and sophistication. Topics include vector spaces, subspaces, linear independence, bases, dimension, inner products, linear transformations, matrix representations, range and null spaces, inverses, and eigenvalues. |
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Prerequisite(s): |
MATH 205 or MATH 215; or, with permission of the instructor, MATH 116, MATH 120, or the equivalent. |
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Notes: |
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Distribution(s): |
Mathematical Modeling and Problem Solving |
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Instructors: |
Clara Chan |
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Meeting Time(s): |
Science Center Hub 303 Classroom - TF 9:55 AM - 11:10 AM
Science Center Hub 303 Classroom - W 10:30 AM - 11:20 AM |
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MATH 215 02 - Differential Equations with Applied Linear Algebra
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Course: |
MATH 215 - 02 |
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Title: |
Differential Equations with Applied Linear Algebra |
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Credit Hours: |
1 |
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Description: |
This course is designed to examine the degree to which a function can be determined by an algebraic relationship it has with its derivative(s) --- a so-called ordinary differential equation (ODE). For instance, can one completely catalog all functions which equal their own derivative? In service of developing techniques for solving certain classes of differential equations, some fundamental notions from linear algebra and complex numbers are presented. Differential equation topics include modeling with and solving first- and second-order ODEs, separable ODEs, and a discussion of higher order and non-linear ODEs; linear algebra topics include solving systems via elementary row operations, bases, dimension, determinants, column space, and eigenvalues/vectors. |
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Prerequisite(s): |
MATH 116 or MATH 120. |
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Notes: |
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Distribution(s): |
Mathematical Modeling and Problem Solving |
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Instructors: |
Stanley Chang |
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Meeting Time(s): |
Founders 307 Classroom - TF 12:45 PM - 2:00 PM
Founders 307 Classroom - W 1:30 PM - 2:20 PM |
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MATH 215 01 - Differential Equations with Applied Linear Algebra
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Course: |
MATH 215 - 01 |
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Title: |
Differential Equations with Applied Linear Algebra |
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Credit Hours: |
1 |
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Description: |
This course is designed to examine the degree to which a function can be determined by an algebraic relationship it has with its derivative(s) --- a so-called ordinary differential equation (ODE). For instance, can one completely catalog all functions which equal their own derivative? In service of developing techniques for solving certain classes of differential equations, some fundamental notions from linear algebra and complex numbers are presented. Differential equation topics include modeling with and solving first- and second-order ODEs, separable ODEs, and a discussion of higher order and non-linear ODEs; linear algebra topics include solving systems via elementary row operations, bases, dimension, determinants, column space, and eigenvalues/vectors. |
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Prerequisite(s): |
MATH 116 or MATH 120. |
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Notes: |
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Distribution(s): |
Mathematical Modeling and Problem Solving |
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Instructors: |
Oscar Fernandez |
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Meeting Time(s): |
Science Center L Wing 039 Classroom - MR 11:20 AM - 12:35 PM
Science Center L Wing 039 Classroom - W 11:30 AM - 12:20 PM |
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MATH 220 01 - Probability
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Course: |
MATH 220 - 01 |
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Title: |
Probability |
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Credit Hours: |
1 |
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Description: |
Probability is the mathematics of uncertainty. We begin by developing the basic tools of probability theory, including counting techniques, conditional probability, and Bayes's Theorem. We then survey several of the most common discrete and continuous probability distributions (binomial, Poisson, uniform, normal, and exponential, among others) and discuss mathematical modeling using these distributions. Often we cannot calculate probabilities exactly, and we need to approximate them. A powerful tool here is the Central Limit Theorem, which provides the link between probability and statistics. Another strategy when exact results are unavailable is simulation. We examine Markov chain Monte Carlo methods, which offer a means of simulating from complicated distributions. |
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Prerequisite(s): |
MATH 205 |
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Notes: |
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Distribution(s): |
Mathematical Modeling and Problem Solving |
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Cross Listed Courses: |
STAT 220 01 - Probability
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Instructors: |
Qing (Wendy) Wang |
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Meeting Time(s): |
Science Center L Wing 045 Classroom - TF 11:20 AM - 12:35 PM
Science Center L Wing 045 Classroom - W 12:30 PM - 1:20 PM |
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MATH 223 01 - Number Theory
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Course: |
MATH 223 - 01 |
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Title: |
Number Theory |
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Credit Hours: |
1 |
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Description: |
Number theory is the study of the most basic mathematical objects: the natural numbers (1, 2, 3, etc.). It begins by investigating simple patterns: for instance, which numbers can be written as sums of two squares? Do the primes go on forever? How can we be sure? The patterns and structures that emerge from studying the properties of numbers are so elegant, complex, and important that number theory has been called "the Queen of Mathematics." Once studied only for its intrinsic beauty, number theory has practical applications in cryptography and computer science. Topics include the Euclidean algorithm, modular arithmetic, Fermat's and Euler's Theorems, public-key cryptography, quadratic reciprocity. MATH 223 has a focus on learning to understand and write mathematical proofs; it can serve as valuable preparation for MATH 305. |
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Prerequisite(s): |
One of the following - MATH 116, MATH 120, or CS 230 with permission of the instructor. |
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Notes: |
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Distribution(s): |
Mathematical Modeling and Problem Solving |
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Instructors: |
Joe Lauer |
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Meeting Time(s): |
Science Center E Wing 311 Classroom - MR 9:55 AM - 11:10 AM
Science Center E Wing 311 Classroom - W 9:30 AM - 10:20 AM |
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MATH 225 01 - Combinatorics and Graph Theory
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Course: |
MATH 225 - 01 |
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Title: |
Combinatorics and Graph Theory |
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Credit Hours: |
1 |
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Description: |
Combinatorics is the art of counting possibilities: for instance, how many different ways are there to distribute 20 apples to 10 kids? Graph theory is the study of connected networks of objects. Both have important applications to many areas of mathematics and computer science. The course will be taught emphasizing creative problem-solving as well as methods of proof, such as proof by contradiction and induction. Topics include: selections and arrangements, generating functions, recurrence relations, graph coloring, Hamiltonian and Eulerian circuits, and trees. |
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Prerequisite(s): |
MATH 116 or MATH 120, or the equivalent; or CS 230 together with permission of the instructor. |
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Notes: |
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Distribution(s): |
Mathematical Modeling and Problem Solving |
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Instructors: |
Ann Trenk |
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Meeting Time(s): |
Science Center E Wing 311 Classroom - TF 9:55 AM - 11:10 AM
Science Center E Wing 311 Classroom - W 10:30 AM - 11:20 AM |
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MATH 302 01 - Elements of Analysis I
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Course: |
MATH 302 - 01 |
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Title: |
Elements of Analysis I |
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Credit Hours: |
1 |
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Description: |
Real analysis is the study of the rigorous theory of the real numbers, Euclidean space, and calculus. The goal is to thoroughly understand the familiar concepts of continuity, limits, and sequences. Topics include compactness, completeness, and connectedness; continuous functions; differentiation and integration; limits and sequences; and interchange of limit operations as time permits. |
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Prerequisite(s): |
MATH 205 and MATH 206. |
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Notes: |
|
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Distribution(s): |
Mathematical Modeling and Problem Solving |
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Instructors: |
Jonathan Tannenhauser |
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Meeting Time(s): |
Science Center Hub 103 Classroom - MR 11:20 AM - 12:35 PM
Science Center Hub 103 Classroom - W 11:30 AM - 12:20 PM |
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MATH 305 01 - Abstract Algebra
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Course: |
MATH 305 - 01 |
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Title: |
Abstract Algebra |
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Credit Hours: |
1 |
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Description: |
In this course, students examine the structural similarities between familiar mathematical objects such as number systems, matrix sets, function spaces, general vector spaces, and mod n arithmetic. Topics include groups, rings, fields, homomorphisms, normal subgroups, quotient spaces, isomorphism theorems, divisibility, and factorization. Many concepts generalize number theoretic notions such as Fermat's little theorem and the Euclidean algorithm. Optional subjects include group actions and applications to combinatorics. |
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Prerequisite(s): |
MATH 206 |
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Notes: |
|
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Distribution(s): |
Mathematical Modeling and Problem Solving |
|
Instructors: |
Ismar Volić |
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Meeting Time(s): |
Science Center E Wing 311 Classroom - MR 2:20 PM - 3:35 PM
Science Center E Wing 311 Classroom - W 2:30 PM - 3:20 PM |
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MATH 307 01 - Topology
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Course: |
MATH 307 - 01 |
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Title: |
Topology |
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Credit Hours: |
1 |
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Description: |
This course covers some basic notions of point-set topology, such as topological spaces, metric spaces, connectedness and compactness, Heine-Borel Theorem, quotient spaces, topological groups, groups acting on spaces, homotopy equivalences, separation axioms, Euler characteristic, and classification of surfaces. Additional topics include the study of the fundamental group (time permitting). |
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Prerequisite(s): |
MATH 302. Co-requisite - MATH 305. |
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Notes: |
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Distribution(s): |
Mathematical Modeling and Problem Solving |
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Instructors: |
Philip Hirschhorn |
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Meeting Time(s): |
Founders 126 Classroom - TF 12:45 PM - 2:00 PM
Founders 126 Classroom - W 1:30 PM - 2:20 PM |
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MATH 313 01 - Differential Geometry and General Relativity
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Course: |
MATH 313 - 01 |
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Title: |
Differential Geometry and General Relativity |
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Credit Hours: |
1 |
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Description: |
Einstein's general theory of relativity conceives of gravity as a manifestation of the geometry of spacetime. In John Archibald Wheeler's summary: "Spacetime tells matter how to move; matter tells spacetime how to curve." Differential geometry supplies the mathematical language for describing curvature. We begin by defining and building up the relevant mathematical ideas: manifolds, tensors, covariant derivatives, geodesics, and the Riemann tensor. We then apply these ideas to the physics, developing the Einstein field equation and some of its consequences, including the Schwarzschild solution and black holes, cosmology, and gravitational waves. |
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Prerequisite(s): |
(1) At least one 300-level course in mathematics and one calculus-based physics course; or (2) MATH 205 and PHYS 207; or (3) permission of the instructor. Students can receive major credit for both MATH 312 and MATH 313. |
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Notes: |
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Distribution(s): |
Mathematical Modeling and Problem Solving |
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Cross Listed Courses: |
PHYS 313 01 - Differential Geometry and General Relativity
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Instructors: |
Jonathan Tannenhauser |
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Meeting Time(s): |
Science Center L Wing 240 Classroom - MR 2:20 PM - 3:35 PM
Science Center L Wing 240 Classroom - W 2:30 PM - 3:20 PM |
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MATH 322 01 - Advanced Linear Algebra
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Course: |
MATH 322 - 01 |
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Title: |
Advanced Linear Algebra |
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Credit Hours: |
1 |
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Description: |
Linear algebra at this more advanced level is a basic tool in many areas of mathematics and other fields. The course begins by revisiting some linear algebra concepts from MATH 206 in a more sophisticated way, making use of the mathematical maturity picked up in MATH 305. Such topics include vector spaces, linear independence, bases, and dimensions, linear transformations, and inner product spaces. Then we will turn to new notions, including dual spaces, reflexivity, annihilators, direct sums and quotients, tensor products, multilinear forms, and modules. One of the main goals of the course is the derivation of canonical forms, including triangular form and Jordan canonical forms. These are methods of analyzing matrices that are more general and powerful than diagonalization (studied in MATH 206). We will also discuss the spectral theorem, the best example of successful diagonalization, and its applications. |
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Prerequisite(s): |
MATH 305. |
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Notes: |
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Distribution(s): |
Mathematical Modeling and Problem Solving |
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Instructors: |
Andy C Schultz |
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Meeting Time(s): |
Science Center L Wing 047 Classroom - MR 9:55 AM - 11:10 AM
Science Center L Wing 047 Classroom - W 9:30 AM - 10:20 AM |
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MATH 349 01 - Selected Topics Tpc: Numerical Analysis
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Course: |
MATH 349 - 01 |
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Title: |
Selected Topics Tpc: Numerical Analysis |
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Credit Hours: |
1 |
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Description: |
Topic for Fall 2026: Numerical Analysis This course is an introduction to the mathematical foundations and computational techniques of numerical analysis, the study of algorithms for solving problems of continuous mathematics using discrete approximations. Numerical analysis is one of the oldest and most influential areas of mathematics. It offers powerful tools for approximations and simulations of complex systems. The course will focus on both the theory and practice of numerical methods, their accuracy, efficiency, and limitations. The first part of the course will cover continuous problems, including solving nonlinear equations, numerical differentiation and integration, and polynomial interpolation. Numerical linear algebra topics will follow, including Gaussian elimination, LU decomposition, and iterative methods for large systems. The final part of the course will introduce numerical methods for differential equations: Euler's and Runge-Kutta methods. Throughout the course, we will analyze the stability, convergence, and computational complexity of algorithms. We will also apply them to practical problems using software such as MATLAB. |
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Prerequisite(s): |
MATH 206 or permission of the instructor. |
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Notes: |
This is a topics course and can be taken more than once for credit as long as the topic is different each time. |
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Distribution(s): |
Mathematical Modeling and Problem Solving |
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Instructors: |
Karamatou Yacoubou Djima |
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Meeting Time(s): |
Science Center L Wing 045 Classroom - MR 11:20 AM - 12:35 PM
Science Center L Wing 045 Classroom - W 11:30 AM - 12:20 PM |
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