  01  TR  8:30A10:00A  TBA  Stockdale  Dec 15 2017 1:00PM  3:00PM  15  12  0   

  01  MWF  9:00A10:00A  TBA  Shareshian  Dec 14 2017 3:30PM  5:30PM  175  75  0   
 02  MWF  10:00A11:00A  TBA  Shareshian  Dec 14 2017 3:30PM  5:30PM  150  94  0   
 A  R  8:00A9:00A  TBA  Garcia German  Default  none  15  5  0   
 B  R  8:00A9:00A  TBA  Payne  Default  none  15  2  0   
 C  R  9:00A10:00A  TBA  Payne  Default  none  23  21  0   
 D  R  9:00A10:00A  TBA  Jabbari  Default  none  23  16  0   
 E  R  10:00A11:00A  TBA  Jabbari  Default  none  23  20  0   
 F  R  10:00A11:00A  TBA  Garcia German  Default  none  23  16  0   
 G  R  10:00A11:00A  TBA  Payne  Default  none  23  20  0   
 H  R  11:00A12:00P  TBA  Jabbari  Default  none  23  20  0   
 I  R  11:00A12:00P  TBA  Garcia German  Default  none  23  15  0   
 J  R  12:00P1:00P  TBA  Jabbari  Default  none  23  20  0   
 K  R  12:00P1:00P  TBA  Garcia German  Default  none  23  14  0   

  01  MWF  9:00A10:00A  TBA  BerchenkoKogan  Dec 15 2017 10:30AM  12:30PM  207  85  0   
 02  MWF  10:00A11:00A  TBA  BerchenkoKogan  Dec 15 2017 10:30AM  12:30PM  207  148  0   
 03  MWF  12:00P1:00P  TBA  Thornton  Dec 15 2017 10:30AM  12:30PM  195  94  0   
 04  MWF  1:00P2:00P  TBA  Thornton  Dec 15 2017 10:30AM  12:30PM  195  109  0   
 AA  T  12:00P1:00P  TBA  Yu  Default  none  23  17  0   
 A  T  8:00A9:00A  TBA  Castor  Default  none  17  17  0   
 B  T  8:00A9:00A  TBA  Covey  Default  none  15  2  0   
 C  T  9:00A10:00A  TBA  Castor  Default  none  23  23  0   
 D  T  9:00A10:00A  TBA  Covey  Default  none  23  22  0   
 E  T  9:00A10:00A  TBA  Felder  Default  none  23  15  0   
 F  T  9:00A10:00A  TBA  Vempati  Default  none  23  14  0   
 G  T  9:00A10:00A  TBA  Norton  Default  none  23  11  0   
 H  T  9:00A10:00A  TBA  Yu  Default  none  23  9  0   
 I  T  10:00A11:00A  TBA  Covey  Default  none  23  28  0   
 J  T  10:00A11:00A  TBA  Felder  Default  none  23  23  0   
 K  T  10:00A11:00A  TBA  Li  Default  none  23  23  0   
 L  T  10:00A11:00A  TBA  Vempati  Default  none  23  23  0   
 M  T  10:00A11:00A  TBA  Norton  Default  none  23  23  0   
 N  T  10:00A11:00A  TBA  Wang  Default  none  23  23  0   
 O  T  11:00A12:00P  TBA  Felder  Default  none  23  18  0   
 P  T  11:00A12:00P  TBA  Li  Default  none  23  15  0   
 Q  T  11:00A12:00P  TBA  Vempati  Default  none  23  14  0   
 R  T  11:00A12:00P  TBA  Norton  Default  none  23  11  0   
 S  T  11:00A12:00P  TBA  Wang  Default  none  23  8  0   
 T  T  11:00A12:00P  TBA  Yu  Default  none  23  11  0   
 U  T  12:00P1:00P  TBA  Castor  Default  none  23  23  0   
 V  T  12:00P1:00P  TBA  Covey  Default  none  23  17  0   
 W  T  12:00P1:00P  TBA  Felder  Default  none  23  18  0   
 X  T  12:00P1:00P  TBA  Li  Default  none  23  12  0   
 Y  T  12:00P1:00P  TBA  Vempati  Default  none  23  8  0   
 Z  T  12:00P1:00P  TBA  Wang  Default  none  23  8  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.
Refere 

  01  T  10:00A11:00A  TBA  McCarthy  See instructor  30  7  0   

  01  MTWRF  11:00A12:00P  TBA  Tang  Dec 19 2017 10:30AM  12:30PM  35  5  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 12, October 10, and November 14. 

  01  MWF  9:00A10:00A  TBA  Krantz  Dec 15 2017 10:30AM  12:30PM  100  61  0   
 02  MWF  11:00A12:00P  TBA  Krantz  Dec 15 2017 10:30AM  12:30PM  125  124  0   

 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 13, October 11, and November 15.
Prereqs: Math 131 

  01  MWF  9:00A10:00A  TBA  Huo  Dec 14 2017 3:30PM  5:30PM  110  92  0   
 02  MWF  11:00A12:00P  TBA  Huo  Dec 14 2017 3:30PM  5:30PM  110  110  15   

 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 13, October 11, and November 15. 

  01  MWF  9:00A10:00A  TBA  Roberts  Dec 14 2017 3:30PM  5:30PM  200  111  0   
 02  MWF  11:00A12:00P  TBA  Roberts  Dec 14 2017 3:30PM  5:30PM  200  132  0   
 03  MWF  12:00P1:00P  TBA  Roberts  Dec 14 2017 3:30PM  5:30PM  200  105  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 9, and November 13. 

  01  MWF  11:00A12:00P  TBA  Shapiro  Dec 18 2017 10:30AM  12:30PM  90  90  0   
 02  MWF  1:00P2:00P  TBA  Shapiro  Dec 18 2017 10:30AM  12:30PM  100  100  3   

  01  MWF  1:00P2:00P  TBA  Kumar  Dec 20 2017 1:00PM  3:00PM  65  52  0   

  01  W MWF  4:00P5:00P 1:00P2:00P  TBA TBA  Kumar  See instructor  12  9  0   

  01  MWF  12:00P1:00P  TBA  Blank  Dec 20 2017 10:30AM  12:30PM  80  80  2   

 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 12, October 10, and November 14.
Prereqs: Math 132. Though Math 233 is not essential, it is recommended. 

  01  MWF  9:00A10:00A  TBA  Spitznagel  Dec 14 2017 3:30PM  5:30PM  75  66  0   

  01  MWF  3:00P4:00P  TBA  [TBA]  Dec 14 2017 6:00PM  8:00PM  20  4  0   

  01  TR  1:00P2:30P  TBA  Frankel  Dec 19 2017 1:00PM  3:00PM  30  25  0   

  01  TBA   TBA  Beheshti Zavareh  No final  999  0  0   
 02  TBA   TBA  Blank  No final  999  0  0   
 04  TBA   TBA  Ding  No final  999  0  0   
 05  TBA   TBA  Feres  No final  999  0  0   
 06  TBA   TBA  FigueroaLopez  No final  999  0  0   
 07  TBA   TBA  Freiwald  No final  999  0  0   
 08  TBA   TBA  Kerr  No final  999  0  0   
 09  TBA   TBA  Knese  No final  999  0  0   
 10  TBA   TBA  Krantz  No final  999  0  0   
 11  TBA   TBA  Kuffner  No final  999  0  0   
 12  TBA   TBA  Kumar  No final  999  0  0   
 14  TBA   TBA  McCarthy  No final  999  0  0   
 15  TBA   TBA  Roberts  No final  999  0  0   
 16  TBA   TBA  Shapiro  No final  999  0  0   
 17  TBA   TBA  Shareshian  No final  999  0  0   
 18  TBA   TBA  Spitznagel  No final  999  0  0   
 19  TBA   TBA  Stern  No final  999  0  0   
 20  TBA   TBA  Tang  No final  999  1  0   
 21  TBA   TBA  Wick  No final  999  0  0   
 22  TBA   TBA  Wickerhauser  No final  999  0  0   
 23  TBA   TBA  Wright  No final  999  0  0   

  01  MWF  10:00A11:30A  TBA  Wickerhauser  Dec 18 2017 10:30AM  12:30PM  30  3  0   

  01  MWF  10:00A11:00A  TBA  Blank  Dec 18 2017 10:30AM  12:30PM  70  35  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  McCarthy  Dec 18 2017 1:00PM  3:00PM  30  19  0   

  01  MWF  1:00P2:00P  TBA  [TBA]  Dec 20 2017 1:00PM  3:00PM  20  14  0   

  01  MWF  12:00P1:00P  TBA  Kerr  Dec 20 2017 10:30AM  12:30PM  65  33  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 and a course in linear algebra (such as Math 309 or 429); some acquaintance with fundamentals of computer programming (such as CSE 131 or CSE 200), or permission of instructor. 

  01  MWF  11:00A12:00P  TBA  FigueroaLopez  Dec 19 2017 10:30AM  12:30PM  50  22  0   

  01  MWF  3:00P4:00P  TBA  Stern  Dec 14 2017 6:00PM  8:00PM  55  49  0   

  01  MWF  1:00P2:00P  TBA  Stern  Dec 20 2017 1:00PM  3:00PM  50  46  0   

  01  MWF  10:00A11:00A  TBA  FigueroaLopez  Dec 20 2017 1:00PM  3:00PM  30  30  2   

  01  MWF  12:00P1:00P  TBA  Lin  Dec 20 2017 10:30AM  12:30PM  75  33  0   

  01  MWF  2:00P3:00P  TBA  Feres  Dec 18 2017 3:30PM  5:30PM  120  120  15   

  01  TBA   TBA  Beheshti Zavareh  No final  999  0  0   
 02  TBA   TBA  Blank  No final  999  0  0   
 04  TBA   TBA  Ding  No final  999  0  0   
 05  TBA   TBA  Feres  No final  999  0  0   
 06  TBA   TBA  FigueroaLopez  No final  999  0  0   
 07  TBA   TBA  Freiwald  No final  999  0  0   
 08  TBA   TBA  Kerr  No final  999  0  0   
 09  TBA   TBA  Knese  No final  999  0  0   
 10  TBA   TBA  Krantz  No final  999  0  0   
 11  TBA   TBA  Kuffner  No final  999  0  0   
 12  TBA   TBA  Kumar  No final  999  0  0   
 14  TBA   TBA  McCarthy  No final  999  0  0   
 15  TBA   TBA  Roberts  No final  999  0  0   
 16  TBA   TBA  Shapiro  No final  999  0  0   
 17  TBA   TBA  Shareshian  No final  999  1  0   
 18  TBA   TBA  Spitznagel  No final  999  1  0   
 19  TBA   TBA  Stern  No final  999  0  0   
 20  TBA   TBA  Tang  No final  999  0  0   
 21  TBA   TBA  Wick  No final  999  0  0   
 22  TBA   TBA  Wickerhauser  No final  999  0  0   
 23  TBA   TBA  Wright  No final  999  0  0   

