Course Atlas

The Course Atlas lists all courses offered in a given semester.

The Course Catalog lists all possible courses that can be offered. There is no guarantee that all listed classes will be offered in a given semester.

This page lists all of the classes offered for MATH in a given semester.

Courses

Undergraduate MATH Courses

MATH111 Calculus I Credits: 3
Section Location Meeting Time Instructor Enrollment
1 MSC N304 MW      10:00AM - 11:15AM Xingjian Li 40
2 ONLINE MW      1:00PM - 2:15PM Juan Villeta-Garcia 40
3 MSC W301 MW      8:30AM - 9:45AM Michael Cerchia 40
4 MSC W303 MW      2:30PM - 3:45PM Samuel Chang 40
6 MSC W301 TuTh      1:00PM - 2:15PM Sima Ahsani 40
MATH112 Calculus II Credits: 3
Section Location Meeting Time Instructor Enrollment
1 MSC W303 MW      10:00AM - 11:15AM Irving Martinez 40
2 MSC W301 TuTh      8:30AM - 9:45AM Zitong Pei 40
3 ONLINE TuTh      4:00PM - 5:15PM Difeng Cai 40
4 MSC W301 TuTh      11:30AM - 12:45PM Vojtech Rodl 40
MATH116 Life Sciences Calculus II Credits: 4
Section Location Meeting Time Instructor Enrollment
1 White Hall 102
MSC W303		 MW   11:30AM - 12:45PM
F   8:30AM - 9:20AM		 Kaelin Cook-Powell 25
2 MSC W201
MSC W303		 MW   1:00PM - 2:15PM
F   11:30PM - 12:20PM		 Kaelin Cook-Powell 25
3 White Hall 102
MSC W303		 MW   11:30AM - 12:45PM
F   11:00AM - 11:50AM		 Kaelin Cook-Powell 25
4 MSC W201
W307C		 MW   1:00PM - 2:15PM
F   1:00PM - 1:50PM		 Kaelin Cook-Powell 25
MATH190 Freshman Seminar Credits: 3
Section Location Meeting Time Instructor Enrollment
1 MSC E406 MW      8:30AM - 9:45AM Victoria Powers 18
2 Rich Building 117 - Dance Studio MW      11:30AM - 12:45PM Manuela Manetta 18
MATH210 Adv.Calculus for Data Sciences Credits: 4
Section Location Meeting Time Instructor Enrollment
1 MSC N306
MSC Other		 MW   10:00AM - 11:15AM
F   10:00AM - 10:50AM		 Andrew Kobin 20
2 MSC N306
MSC Other		 MW   10:00AM - 11:15AM
F   11:30PM - 12:20PM		 Andrew Kobin 20
MATH211 Multivariable Calculus Credits: 3
Section Location Meeting Time Instructor Enrollment
1 MSC N304 TuTh      2:30PM - 3:45PM Jeffrey Yelton 40
2 MSC N304 TuTh      10:00AM - 11:15AM Jeffrey Yelton 40
MATH212 Differential Equations Credits: 3
Section Location Meeting Time Instructor Enrollment
1 MSC N304 TuTh      11:30AM - 12:45PM Matthew Just 35
3 MSC W303 TuTh      10:00AM - 11:15AM Matthew Just 35
MATH221 Linear Algebra Credits: 4
Section Location Meeting Time Instructor Enrollment
1 White Hall 111
MSC W301		 MW   8:30AM - 9:45AM
F   10:00AM - 10:50AM		 Yuanzhe Xi 25
2 White Hall 110
MSC W301		 MW   11:30AM - 12:45PM
F   11:30PM - 12:20PM		 Deepanshu Verma 25
3 White Hall 102
MSC W301		 MW   4:00PM - 5:15PM
F   1:00PM - 1:50PM		 Elizabeth Newman 25
4 White Hall 102
MSC W301		 MW   4:00PM - 5:15PM
F   2:30PM - 3:20PM		 Elizabeth Newman 25
5 White Hall 110
MSC W301		 MW   11:30AM - 12:45PM
F   1:00PM - 1:50PM		 Deepanshu Verma 25
6 White Hall 111
MSC W301		 MW   8:30AM - 9:45AM
F   8:30AM - 9:20AM		 Yuanzhe Xi 25
MATH250 Foundations of Mathematics Credits: 3
Section Location Meeting Time Instructor Enrollment
1 ONLINE MW      11:30AM - 12:45PM Juan Villeta-Garcia 18
2 MSC E408 TuTh      11:30AM - 12:45PM Robert Roth 18
3 MSC E406 TuTh      2:30PM - 3:45PM David Zureick-Brown 18
4 MSC W201 TuTh      8:30AM - 9:45AM Dwight Duffus 18
MATH315 Numerical Analysis Credits: 4
Section Location Meeting Time Instructor Enrollment
1 MSC W303
MSC N304		 TuTh   1:00PM - 2:15PM
F   11:30AM - 12:20PM		 Talea L. Mayo 40
MATH321 Abstract Vector Spaces Credits: 3
Section Location Meeting Time Instructor Enrollment
1 MSC W303 MW      5:30PM - 6:45PM Parimala Raman 35
MATH345 Mathematical Modeling Credits: 3
Section Location Meeting Time Instructor Enrollment
1 MSC W303 TuTh      11:30AM - 12:45PM Alessandro Veneziani 40
MATH346 Intro to Optimization Theory Credits: 3
Section Location Meeting Time Instructor Enrollment
1 Atwood 316 TuTh      10:00AM - 11:15AM Sima Ahsani 40
2 MSC W303 TuTh      2:30PM - 3:45PM Robert Roth 35
MATH351 Partial Differential Equations Credits: 3
Section Location Meeting Time Instructor Enrollment
1 MSC W301 MW      1:00PM - 2:15PM Manuela Manetta 40
MATH362 Mathematical Statistics II Credits: 3
Section Location Meeting Time Instructor Enrollment
1 ONLINE W      8:30AM - 9:45AM Bree Ettinger 40
2 ONLINE Th      8:30AM - 9:45AM Bree Ettinger 40
MATH362W Mathematical Statistics II Credits: 4
Section Location Meeting Time Instructor Enrollment
1 ONLINE WF      8:30AM - 9:45AM Bree Ettinger 10
2 ONLINE ThF      8:30AM - 9:45AM Bree Ettinger 10
MATH412 Real Analysis II Credits: 3
Section Location Meeting Time Instructor Enrollment
1 MSC W303 MW      8:30AM - 9:45AM David Borthwick 40
MATH422 Abstract Algebra II Credits: 3
Section Location Meeting Time Instructor Enrollment
1 MSC E406 MW      2:30PM - 3:45PM Victoria Powers 16
MATH425 Mathematical Economics Credits: 4
Section Location Meeting Time Instructor Enrollment
1 MSC E406 TuTh      8:30AM - 9:45AM Michael Carr
Kyungmin Kim		 20
2 Candler 123 MW      1:00PM - 2:15PM Michael Carr
Blake Allison		 20
MATH497 Directed Research Credits: 1
Section Location Meeting Time Instructor Enrollment
1        Matthew Just 5


Graduate MATH Courses

MATH512 Analysis II Credits: 3
Content: Topics will include: Measure and integration theory on the real line as well as on a general measure space, Bounded linear functionals on L^p spaces. If time permits, Sobolev spaces and Fourier transforms will be introduced.
Texts: TBA
Assessments: TBA
Prerequisites: Students are expected to have the background of Math 411-412 sequence or the equivalent.
Section Location Meeting Time Instructor Enrollment (max)
1 MSC E408 MW      8:30AM - 9:45AM Maja Taskovic 16
MATH516 Numerical Analysis II Credits: 3
Content: This course covers fundamental concepts of numerical analysis and scientific computing. Material includes numerical methods for curve fitting (interpolation, splines, least squares), differentiation, integration, and differential equations. It is assumed that students have a strong background in numerical linear algebra.
Texts: TBA
Assessments: TBA
Prerequisites: Math 515, undergraduate course work in multivariable calculus and ordinary differential equations. An undergraduate course in numerical analysis would help, but is not absolutely essential. Prerequisites: This is a "hands on" course and students will be required to demonstrate their understanding of the concepts through programming assignments in MATLAB/Octave (help will be given for the novice programmer).
Section Location Meeting Time Instructor Enrollment (max)
1 MSC E408 TuTh      2:30PM - 3:45PM Talea L. Mayo 16
MATH522 Algebra II Credits: 3
Content: Continuation of 521. Topics: Modules, especially modules over a principal ideal domain, fields, Galois theory, representation of finite groups, Commutative algebra.
Texts: TBA
Assessments: TBA
Prerequisites: Math 521.
Section Location Meeting Time Instructor Enrollment (max)
1 MSC E408 MW      2:30PM - 3:45PM Parimala Raman 16
MATH523 Commutative Algebra & Algebraic Geometry Credits: 3
Content: TBA
Texts: TBA
Assessments: TBA
Prerequisites: TBA
Section Location Meeting Time Instructor Enrollment (max)
1 MSC E406 MW      1:00PM - 2:15PM Brooke Ullery 16
MATH524 Algebraic Geometry II Credits: 3
Content: Algebraic curves, algebraic varieties, sheaves, cohomology, Riemann-Roch theorem. Classification of algebraic surfaces, moduli spaces, deformation theory and, obstruction theory, the notion of schemes.
Texts: TBA
Assessments: TBA
Prerequisites: TBA
Section Location Meeting Time Instructor Enrollment (max)
1 MSC N306 MW      11:30AM - 12:45PM Brooke Ullery 18
MATH532 Graph Theory II Credits: 3
Content: TBA
Texts: TBA
Assessments: TBA
Prerequisites: TBA
Section Location Meeting Time Instructor Enrollment (max)
1 MSC E408 TuTh      1:00PM - 2:15PM Liana Yepremyan 16
MATH546 Intro. to Differential Geometry II Credits: 3
Content: An introduction to Riemannian geometry and global analysis. Topics to be covered: Manifolds, Riemannian metrics, Connections, Curvature; Geodesics, Convexity, Topics in Global Analysis.
Texts: TBA
Assessments: TBA
Prerequisites: TBA
Section Location Meeting Time Instructor Enrollment (max)
1 MSC E406 TuTh      11:30AM - 12:45PM Yiran Wang 16
MATH571 Numerical Optimization Credits: 1
Content: TBA
Texts: TBA
Assessments: TBA
Prerequisites: TBA
Section Location Meeting Time Instructor Enrollment (max)
1 MSC W303 TuTh      8:30AM - 9:45AM Lars Ruthotto 18
MATH578R Seminar in Algebra Credits: 1-9
Content: Research topics in algebra of current interest to faculty and students.
Texts: TBA
Assessments: TBA
Prerequisites: TBA
Section Location Meeting Time Instructor Enrollment (max)
1 MSC W303 Tu      4:00PM - 5:15PM 18
MATH590 Teaching Seminar Credits: 3
Content: This seminar will concentrate on effective teaching techniques in mathematics. Topics included will include: General advice for new TA's. General advice for International TA's. Students will present several practice lectures over different levels of material. They will receive practice on quiz and test preparation. Syllabus information on courses most likely to be taught by new TA's will be supplied. General professional development information will also be included.
Texts: TBA
Assessments: TBA
Prerequisites: TBA
Section Location Meeting Time Instructor Enrollment (max)
1 MSC E406 F      11:00AM - 11:50AM Bree Ettinger
Juan Villeta-Garcia		 20
MATH597R Directed Study Credits: 3
Content: This course is on Random Algorithms.
Texts: TBA
Assessments: TBA
Prerequisites: TBA
Section Location Meeting Time Instructor Enrollment (max)
51 MSC E408 TuTh      10:15AM - 11:30AM Yuanzhe Xi
MATH787R Topics in Combinatorics Credits: 3
Content: TBA
Texts: TBA
Assessments: TBA
Prerequisites: TBA
Section Location Meeting Time Instructor Enrollment (max)
1 MSC E406 MW      4:00PM - 5:15PM 16
2 MSC W201 TuTh      10:00AM - 11:15AM Dwight Duffus 40
3 MSC E408 TuTh      4:00PM - 5:15PM Vojtech Rodl 16
MATH789R Topics in Analysis: Numerical Methods for Deep Learning Credits: 3
Content: This course provides students with the mathematical background needed to analyze and further develop numerical methods at the heart of deep learning. The course briefly reviews current trends in machine learning, classification, and in particular deep neural networks. Mathematical techniques covered in this class include numerical optimization, numerical differential equations, optimal control.
Texts: TBA
Assessments: TBA
Prerequisites: In order to succeed in this class, students need to have a solid background in multivariate calculus and linear algebra and some programming experience in MATLAB, Julia, or Python. In addition, students are also expected to have experience or skills in either numerical analysis (optimization, partial differential equations) or machine learning (e.g., CS534, CS584, or similar).
Section Location Meeting Time Instructor Enrollment (max)
1 MSC E406 TuTh      1:00PM - 2:30PM David Borthwick 15