  01  TR  8:30A10:00A  TBA  [TBA]  Dec 13 2019 1:00PM  3:00PM  30  4  0   

  01  MWF  9:00A10:00A  TBA  Johnson  Dec 12 2019 3:30PM  5:30PM  175  6  0   
 02  MWF  10:00A11:00A  TBA  Johnson  Dec 12 2019 3:30PM  5:30PM  175  13  0   
 A  R  8:00A9:00A  TBA  [TBA]  Default  none  10  0  0   
 B  R  8:00A9:00A  TBA  [TBA]  Default  none  10  0  0   
 C  R  9:00A10:00A  TBA  [TBA]  Default  none  10  0  0   
 D  R  9:00A10:00A  TBA  [TBA]  Default  none  10  1  0   
 E  R  9:00A10:00A  TBA  [TBA]  No final  10  1  0   
 F  R  10:00A11:00A  TBA  [TBA]  Default  none  10  4  0   
 G  R  10:00A11:00A  TBA  [TBA]  Default  none  10  0  0   
 H  R  11:00A12:00P  TBA  [TBA]  Default  none  10  0  0   
 I  R  11:00A12:00P  TBA  [TBA]  Default  none  10  2  0   
 J  R  12:00P1:00P  TBA  [TBA]  Default  none  10  0  0   
 K  R  12:00P1:00P  TBA  [TBA]  No final  10  6  0   
 L  R  1:00P2:00P  TBA  [TBA]  No final  10  3  0   
 M  R  1:00P2:00P  TBA  [TBA]  No final  10  2  0   

  01  MWF  9:00A10:00A  TBA  Thornton  Dec 13 2019 10:30AM  12:30PM  170  12  0   
 02  MWF  10:00A11:00A  TBA  Thornton  Dec 13 2019 10:30AM  12:30PM  175  24  0   
 03  MWF  12:00P1:00P  TBA  Di Plinio  Dec 13 2019 10:30AM  12:30PM  150  19  0   
 04  MWF  1:00P2:00P  TBA  Di Plinio  Dec 13 2019 10:30AM  12:30PM  150  31  0   
 A  R  8:00A9:00A  TBA  [TBA]  Default  none  10  3  0   
 B  R  8:00A9:00A  TBA  [TBA]  Default  none  10  0  0   
 C  R  9:00A10:00A  TBA  [TBA]  Default  none  10  6  0   
 D  R  9:00A10:00A  TBA  [TBA]  Default  none  10  2  0   
 E  R  9:00A10:00A  TBA  [TBA]  Default  none  10  0  0   
 F  R  9:00A10:00A  TBA  [TBA]  Default  none  10  1  0   
 G  R  9:00A10:00A  TBA  [TBA]  Default  none  10  1  0   
 H  R  9:00A10:00A  TBA  [TBA]  Default  none  10  2  0   
 I  R  10:00A11:00A  TBA  [TBA]  Default  none  10  10  0   
 K  R  11:00A12:00P  TBA  [TBA]  Default  none  10  6  0   
 M  R  12:00P1:00P  TBA  [TBA]  Default  none  10  10  0   
 N  R  12:00P1:00P  TBA  [TBA]  Default  none  10  5  0   
 O  R  12:00P1:00P  TBA  [TBA]  Default  none  10  2  0   
 P  R  12:00P1:00P  TBA  [TBA]  Default  none  10  1  0   
 Q  R  12:00P1:00P  TBA  [TBA]  Default  none  10  1  0   
 S  R  1:00P2:00P  TBA  [TBA]  Default  none  10  10  0   
 T  R  1:00P2:00P  TBA  [TBA]  Default  none  10  5  0   
 U  R  1:00P2:00P  TBA  [TBA]  Default  none  10  3  0   
 V  R  1:00P2:00P  TBA  [TBA]  Default  none  10  1  0   

 Description:  This is a one credit course, that can only be taken concurrently with Math 131, Calculus
I. The purpose of the course is to show how mathematics can solve real world problems, and how calculus dramatically expands the range of problems that can be tackled. Each class will be devoted to the analysis of some problems, which may include: dimensional analysis, the mathematics of convoys, Fibonacci numbers, fractals, linear regression, Euclid's algorithm, Stein's algorithm, network capacities, Braess's paradox, Galton's approach to surnames, how genes spread through populations, SIR model of infectious diseases.
The first few classes will not use differentiation.
Must be taken concurrently with Math 131.
Course enrollment preference is given to firstyear students.
https://www.math.wustl.edu/~mccarthy/teaching/139Fall2017.html 

  01  T  10:00A11:00A  TBA  McCarthy  No final  19  1  0   

  01  MTWRF  11:00A12:00P  TBA  Kerr  Dec 17 2019 10:30AM  12:30PM  30  0  0   

 Description:  Introduction to ordinary differential equations: firstorder equations, linear equations, systems of equations, series solutions, Laplace transform methods, numerical solutions. Prerequisite: successful completion of, or concurrent enrollment in, Math 233. EXAMINATION SCHEDULE: Tests, at which attendance is required, will be given from 6:30 to 8:30 p.m. on September 19, October 24, and November 21. 

  01  MWF  9:00A10:00A  TBA  Knese  Dec 13 2019 10:30AM  12:30PM  100  57  0   
 02  MWF  11:00A12:00P  TBA  Landry  Dec 13 2019 10:30AM  12:30PM  120  65  0   
 A  T  8:00A9:00A  TBA  [TBA]  No final  20  6  0   
 B  T  9:00A10:00A  TBA  [TBA]  No final  20  16  0   
 C  T  9:00A10:00A  TBA  [TBA]  No final  20  19  0   
 D  T  10:00A11:00A  TBA  [TBA]  No final  20  20  0   
 E  T  11:00A12:00P  TBA  [TBA]  No final  20  20  0   
 F  T  12:00P1:00P  TBA  [TBA]  No final  20  20  0   
 G  T  1:00P2:00P  TBA  [TBA]  No final  20  20  1   

 Description:  An elementary introduction to statistical concepts, reasoning and data analysis. Topics include statistical summaries and graphical presentations of data, discrete and continuous random variables, the logic of statistical inference, design of research studies, point and interval estimation, hypothesis testing, and linear regression. Students will learn a critical approach to reading statistical analyses reported in the media, and how to correctly interpret the outputs of common statistical routines for fitting models to data and testing hypotheses. A major objective of the course is to gain familiarity with basic R commands to implement common data analysis procedures. Students intending to pursue a major or minor in mathematics or wishing to take 400 level or above statistics courses should instead take Math 3200.
EXAMINATION SCHEDULE: Tests, at which attendance is required, will be given from 6:30 to 8:30 p.m. on September 18, October 23, and November 20.
Prereqs: Math 131 

  01  MWF  9:00A10:00A  TBA  Boniece  Dec 12 2019 3:30PM  5:30PM  100  55  0   
 02  MWF  11:00A12:00P  TBA  Boniece  Dec 12 2019 3:30PM  5:30PM  120  106  0   
 A  T  8:00A9:00A  TBA  [TBA]  No final  25  11  0   
 B  T  9:00A10:00A  TBA  [TBA]  No final  25  25  0   
 C  T  9:00A10:00A  TBA  [TBA]  No final  25  25  0   
 D  T  10:00A11:00A  TBA  [TBA]  No final  25  25  0   
 E  T  11:00A12:00P  TBA  [TBA]  No final  25  25  0   
 F  T  12:00P1:00P  TBA  [TBA]  No final  25  25  0   
 G  T  1:00P2:00P  TBA  [TBA]  No final  25  25  0   

 Description:  Differential and integral calculus of functions of two and three variables. Vectors, curves and surfaces in space, partial derivatives, multiple integrals, line integrals, vector calculus through Green's Theorem. Prerequisite: Math 132, or a score of 4 or 5 on the Advanced Placement Calculus Examination (BC version). EXAMINATION SCHEDULE: Tests, at which attendance is required, will be given from 6:30 to 8:30 p.m. on September 18, October 23, and November 20. 

  01  MWF  9:00A10:00A  TBA  Beheshti Zavareh  Dec 12 2019 3:30PM  5:30PM  150  13  0   
 02  MWF  10:00A11:00A  TBA  Beheshti Zavareh  Dec 12 2019 3:30PM  5:30PM  150  33  0   
 03  MWF  12:00P1:00P  TBA  Diaz  Dec 12 2019 3:30PM  5:30PM  210  29  0   
 04  MWF  1:00P2:00P  TBA  Diaz  Dec 12 2019 3:30PM  5:30PM  210  16  0   
 A  T  8:00A9:00A  TBA  [TBA]  No final  1  1  0   
 B  T  8:00A9:00A  TBA  [TBA]  No final  10  0  0   
 C  T  9:00A10:00A  TBA  [TBA]  No final  10  7  0   
 D  T  9:00A10:00A  TBA  [TBA]  No final  10  3  0   
 E  T  9:00A10:00A  TBA  [TBA]  No final  10  0  0   
 F  T  9:00A10:00A  TBA  [TBA]  No final  10  2  0   
 G  T  9:00A10:00A  TBA  [TBA]  No final  10  0  0   
 H  T  9:00A10:00A  TBA  [TBA]  No final  10  1  0   
 I  T  10:00A11:00A  TBA  [TBA]  No final  10  8  0   
 J  T  10:00A11:00A  TBA  [TBA]  No final  10  3  0   
 K  T  10:00A11:00A  TBA  [TBA]  No final  10  2  0   
 M  T  11:00A12:00P  TBA  [TBA]  No final  10  5  0   
 N  T  11:00A12:00P  TBA  [TBA]  No final  10  1  0   
 O  T  11:00A12:00P  TBA  [TBA]  No final  10  1  0   
 Q  T  12:00P1:00P  TBA  [TBA]  No final  10  10  0   
 R  T  12:00P1:00P  TBA  [TBA]  No final  10  9  0   
 S  T  12:00P1:00P  TBA  [TBA]  No final  10  7  0   
 T  T  12:00P1:00P  TBA  [TBA]  No final  10  0  0   
 V  T  1:00P2:00P  TBA  [TBA]  No final  10  10  0   
 W  T  1:00P2:00P  TBA  [TBA]  No final  10  7  0   
 X  T  1:00P2:00P  TBA  [TBA]  No final  10  2  0   

 Description:  An introductory course in linear algebra that focuses on Euclidean nspace, matrices and related computations. Topics include: systems of linear equations, row reduction, matrix operations, determinants, linear independence, dimension, rank, change of basis, diagonalization, eigenvalues, eigenvectors, orthogonality, symmetric matrices, least square approximation, quadratic forms. Introduction to abstract vector spaces. Prerequisite: Math 132. EXAMINATION SCHEDULE: Insemester exams, at which attendance is required, will be given from 6:30 to 8:30 p.m. on October 7, and November 11. 

  01  MWF  11:00A12:00P  TBA  Kumar  Dec 16 2019 8:30PM  10:30PM  100  22  0   
 02  MWF  12:00P1:00P  TBA  Kumar  Dec 16 2019 8:30PM  10:30PM  120  57  0   
 03  MWF  1:00P2:00P  TBA  [TBA]  Dec 16 2019 8:30PM  10:30PM  100  54  0   

  01  MWF  1:00P2:00P  TBA  Feres  Dec 12 2019 8:30PM  10:30PM  49  50  14   
 02  MWF  3:00P4:00P  TBA  Chi  Dec 12 2019 8:30PM  10:30PM  50  16  0   

  01  MWF  9:00A10:00A  TBA  Bongers  Dec 13 2019 8:30PM  10:30PM  70  32  0   
 02  MWF  12:00P1:00P  TBA  Bongers  Dec 13 2019 8:30PM  10:30PM  70  70  0   

 Description:  An introduction to probability and statistics. Major topics include elementary probability, special distributions, experimental design, exploratory data analysis, estimation of mean and proportion, hypothesis testing and confidence, regression, and analysis of variance. Emphasis is placed on development of statistical reasoning, basic analytic skills, and critical thinking in empirical research studies. The use of the statistical software R is integrated into lectures and weekly assignments. Required for students pursuing a major or minor in mathematics or wishing to take 400 level or above statistics courses.
EXAMINATION SCHEDULE: Tests, at which attendance is required, will be given from 6:30 to 8:30 p.m. on September 19, October 24, and November 21.
Prereqs: Math 132. Though Math 233 is not essential, it is recommended. 

  01  MWF  9:00A10:00A  TBA  Syring  Dec 13 2019 10:30AM  12:30PM  70  54  0   
 02  MWF  11:00A12:00P  TBA  Syring  Dec 13 2019 10:30AM  12:30PM  125  59  0   
 A  T  8:00A9:00A  TBA  [TBA]  No final  30  26  0   
 B  T  9:00A10:00A  TBA  [TBA]  No final  29  29  0   
 C  T  10:00A11:00A  TBA  [TBA]  No final  29  30  0   
 D  T  11:00A12:00P  TBA  [TBA]  No final  29  28  0   

  01  MWF  3:00P4:00P  TBA  Gallardo Candela  Dec 12 2019 6:00PM  8:00PM  70  3  0   

  01  TR  1:00P2:30P  TBA  Escobar Vega  Dec 17 2019 1:00PM  3:00PM  70  13  0   

  01  TBA   TBA  Beheshti Zavareh  See instructor  30  0  0   
 02  TBA   TBA  Blank  See instructor  30  0  0   
 03  TBA   (None) /  [TBA]  See instructor  30  0  0   
 04  TBA   TBA  Chi  See instructor  30  0  0   
 05  TBA   TBA  Ding  See instructor  30  0  0   
 06  TBA   (None) /  Escobar Vega  See instructor  30  0  0   
 07  TBA   TBA  Feres  See instructor  30  0  0   
 08  TBA   TBA  FigueroaLopez  See instructor  30  0  0   
 09  TBA   TBA  Frankel  See instructor  30  0  0   
 10  TBA   TBA  Kerr  See instructor  30  0  0   
 11  TBA   TBA  Knese  See instructor  30  0  0   
 12  TBA   TBA  Krantz  See instructor  30  0  0   
 13  TBA   TBA  Kuffner  See instructor  30  0  0   
 14  TBA   TBA  Kumar  See instructor  30  0  0   
 15  TBA   TBA  Lin  See instructor  30  0  0   
 16  TBA   TBA  McCarthy  See instructor  30  0  0   
 17  TBA   (None) /  Precup  See instructor  30  0  0   
 18  TBA   TBA  Roberts  See instructor  30  0  0   
 19  TBA   TBA  Shapiro  See instructor  30  0  0   
 20  TBA   TBA  Shareshian  See instructor  30  0  0   
 21  TBA   TBA  Song  See instructor  30  0  0   
 22  TBA   TBA  Spitznagel  See instructor  30  0  0   
 23  TBA   TBA  Stern  See instructor  30  0  0   
 24  TBA   TBA  Tang  See instructor  30  0  0   
 25  TBA   TBA  Wickerhauser  See instructor  30  0  0   
 26  TBA   TBA  Wick  See instructor  30  0  0   
 27  TBA   TBA  Wright  See instructor  30  0  0   

  01  MWF  11:00A12:00P  TBA  Feres  Dec 17 2019 10:30AM  12:30PM  60  11  0   

  01  MWF  10:00A11:00A  TBA  Shareshian  Dec 16 2019 10:30AM  12:30PM  60  24  0   
 02  MWF  3:00P4:00P  TBA  Shareshian  Dec 12 2019 6:00PM  8:00PM  70  28  0   

 Description:  Analytic functions, elementary functions and their properties, line integrals, the Cauchy integral formula, power series, residues, poles, conformal mapping and applications. Prereq: Math 318, Math 308, or ESE 317, or permission of instructor. 

  01  TR  11:30A1:00P  TBA  Krantz  Dec 16 2019 1:00PM  3:00PM  70  22  0   

  01  TR  10:00A11:30A  TBA  Roberts  Dec 17 2019 6:00PM  8:00PM  25  25  1   

  01  MWF  12:00P1:00P  TBA  Beheshti Zavareh  Dec 18 2019 10:30AM  12:30PM  60  48  0   

 Description:  Theory and practice of linear regression, analysis of variance (ANOVA) and their extensions, including testing, estimation, confidence interval procedures, modeling, regression diagnostics and plots, polynomial regression, colinearity and confounding, model selection, geometry of least squares. The theory will be approached mainly from the frequentist perspective and use of the computer (mostly R) to analyze data will be emphasized.
Prerequisite: Math 3200, a course in linear algebra (Math 309 or 429); some acquaintance with fundamentals of computer programming (CSE 131) and Math 493, or permission of instructor. 

  01  TR  10:00A11:30A  TBA  FigueroaLopez  Dec 17 2019 6:00PM  8:00PM  60  29  0   

  01  MWF  3:00P4:00P  TBA  Wickerhauser  Dec 12 2019 6:00PM  8:00PM  50  36  0   

  01  MWF  1:00P2:00P  TBA  Wickerhauser  Dec 18 2019 1:00PM  3:00PM  60  43  0   

  01  MWF  10:00A11:00A  TBA  Chen  Dec 16 2019 10:30AM  12:30PM  35  26  0   

  01  MWF  12:00P1:00P  TBA  Lin  Dec 18 2019 10:30AM  12:30PM  50  23  0   

  01  MWF  2:00P3:00P  TBA  Johnson  Dec 16 2019 3:30PM  5:30PM  100  56  0   

 Description:  Theory of estimation, minimum variance and unbiased estimators, maximum likelihood theory, Bayesian estimation, prior and posterior distributions, confidence intervals for general estimators, standard estimators and distributions such as the Studentt and Fdistribution from a more advanced viewpoint, hypothesis testing, the NeymannPearson Lemma (about best possible tests), linear models, and other topics as time permits. Prerequisite: CSE 131 or 200, Math 3200 and 493, or permission of the instructor. 

  01  MWF  2:00P3:00P  TBA  Chen  Dec 16 2019 3:30PM  5:30PM  60  54  0   

  01  TR  2:30P4:00P  TBA  Escobar Vega  See department  30  9  0   

  01  TBA   TBA  Beheshti Zavareh  See instructor  30  0  0   
 02  TBA   TBA  Chen  See instructor  30  0  0   
 03  TBA   TBA  Chi  See instructor  30  0  0   
 04  TBA   TBA  Ding  See instructor  30  0  0   
 05  TBA   TBA  Escobar Vega  See instructor  30  0  0   
 06  TBA   TBA  Feres  See instructor  30  0  0   
 07  TBA   TBA  FigueroaLopez  See instructor  30  0  0   
 08  TBA   TBA  Frankel  See instructor  30  0  0   
 09  TBA   TBA  Kerr  See instructor  30  0  0   
 10  TBA   TBA  Knese  See instructor  30  0  0   
 11  TBA   TBA  Krantz  See instructor  30  0  0   
 12  TBA   TBA  Kuffner  See instructor  30  0  0   
 13  TBA   TBA  Kumar  See instructor  30  0  0   
 14  TBA   TBA  Lin  See instructor  30  0  0   
 15  TBA   TBA  McCarthy  See instructor  30  0  0   
 16  TBA   TBA  Precup  See instructor  30  0  0   
 17  TBA   TBA  Roberts  See instructor  30  0  0   
 18  TBA   TBA  Shapiro  See instructor  30  0  0   
 19  TBA   TBA  Shareshian  See instructor  30  0  0   
 20  TBA   TBA  Song  See instructor  30  0  0   
 21  TBA   TBA  Spitznagel  See instructor  30  0  0   
 22  TBA   TBA  Stern  See instructor  30  0  0   
 23  TBA   TBA  Tang  See instructor  30  0  0   
 24  TBA   TBA  Wick  See instructor  30  0  0   
 25  TBA   TBA  Wickerhauser  See instructor  30  0  0   

