MATH 19: Calculus
Introduction to differential calculus of functions of one variable. Topics: review of elementary functions including exponentials and logarithms, limits, rates of change, the derivative, and applications.
Math 19, 20, and 21 cover the same material as
Math 41 and 42, but in three quarters rather than two. Prerequisites: precalculus, including trigonometry, advanced algebra, and analysis of elementary functions.
Terms: Aut, Win, Sum

Units: 3

UG Reqs: GER:DBMath, WAYFR

Grading: Letter or Credit/No Credit
Instructors:
Campisi, M. (PI)
;
Kimport, S. (PI)
;
Marberg, E. (PI)
...
more instructors for MATH 19 »
Instructors:
Campisi, M. (PI)
;
Kimport, S. (PI)
;
Marberg, E. (PI)
;
Pollack, A. (PI)
;
Lazarev, O. (TA)
;
Nestoridi, E. (TA)
;
Pan, D. (TA)
;
Ronchetti, N. (TA)
;
Szucs, G. (TA)
;
Velcheva, K. (TA)
;
Zhang, S. (TA)
MATH 20: Calculus
Continuation of 19. Applications of differential calculus; introduction to integral calculus of functions of one variable, including: the definite integral, methods of symbolic and numerical integration, applications of the definite integral. Prerequisites: 19 or equivalent.
Terms: Aut, Win, Spr

Units: 3

UG Reqs: GER:DBMath, WAYFR

Grading: Letter or Credit/No Credit
Instructors:
Borman, M. (PI)
;
Kimport, S. (PI)
;
Schaeffer, G. (PI)
...
more instructors for MATH 20 »
Instructors:
Borman, M. (PI)
;
Kimport, S. (PI)
;
Schaeffer, G. (PI)
;
Bernard, C. (TA)
;
Fayyazuddin Ljungberg, B. (TA)
;
Feng, T. (TA)
;
Florea, A. (TA)
;
Greer, F. (TA)
;
Helfer, J. (TA)
;
Makisumi, S. (TA)
;
Zamorzaev, A. (TA)
MATH 41: Calculus (Accelerated)
Introduction to differential and integral calculus of functions of one variable. Topics: limits, rates of change, the derivative and applications, introduction to the definite integral and integration.
Math 41 and 42 cover the same material as
Math 192021, but in two quarters rather than three. Prerequisites: trigonometry, advanced algebra, and analysis of elementary functions, including exponentials and logarithms.
Terms: Aut

Units: 5

UG Reqs: GER:DBMath, WAYFR

Grading: Letter or Credit/No Credit
MATH 41A: Calculus ACE
Students attend
MATH 41 lectures with different recitation sessions, four hours instead of two, emphasizing engineering applications. Prerequisite: application; see
http://soe.stanford.edu/edp/programs/ace.html.
Terms: Aut

Units: 6

UG Reqs: GER:DBMath, WAYFR

Grading: Letter (ABCD/NP)
Instructors:
Buciumas, V. (PI)
;
Yang, T. (PI)
MATH 42: Calculus (Accelerated)
Continuation of 41. Methods of symbolic and numerical integration, applications of the definite integral, introduction to differential equations, infinite series. Prerequisite: 41 or equivalent.
Terms: Aut, Win

Units: 5

UG Reqs: GER:DBMath, WAYFR

Grading: Letter or Credit/No Credit
Instructors:
Fayyazuddin Ljungberg, B. (PI)
;
Lemke Oliver, R. (PI)
;
Medina Mardones, A. (PI)
...
more instructors for MATH 42 »
Instructors:
Fayyazuddin Ljungberg, B. (PI)
;
Lemke Oliver, R. (PI)
;
Medina Mardones, A. (PI)
;
Nestoridi, E. (PI)
;
Shabani, B. (PI)
;
Silliman, J. (PI)
;
Ungemach, W. (PI)
MATH 42A: Calculus ACE
Students attend
MATH 42 lectures with different recitation sessions, four hours instead of two, emphasizing engineering applications. Prerequisite: application; see
http://soe.stanford.edu/edp/programs/ace.html.
Terms: Aut, Win

Units: 6

UG Reqs: GER:DBMath, WAYFR

Grading: Letter (ABCD/NP)
MATH 51: Linear Algebra and Differential Calculus of Several Variables
Geometry and algebra of vectors, systems of linear equations, matrices and linear transformations, diagonalization and eigenvectors, vector valued functions and functions of several variables, parametric curves, partial derivatives and gradients, the derivative as a matrix, chain rule in several variables, constrained and unconstrained optimization. Prerequisite: 21, or 42, or a score of 4 on the BC Advanced Placement exam or 5 on the AB Advanced Placement exam, or consent of instructor.
Terms: Aut, Win, Spr, Sum

Units: 5

UG Reqs: GER:DBMath, WAYFR

Grading: Letter or Credit/No Credit
Instructors:
Basu, R. (PI)
;
Bates, E. (PI)
;
Bond, B. (PI)
;
Booher, J. (PI)
;
Boreico, I. (PI)
;
Brady, Z. (PI)
;
Feng, T. (PI)
;
Ganatra, S. (PI)
;
Hasson, H. (PI)
;
Kerckhoff, S. (PI)
;
Klang, I. (PI)
;
Lawrence, B. (PI)
;
Li, C. (PI)
;
Lin, Y. (PI)
;
Lucianovic, M. (PI)
;
Madnick, J. (PI)
;
Makisumi, S. (PI)
;
Pardon, J. (PI)
;
Ronchetti, N. (PI)
;
Rosengarten, Z. (PI)
;
Sauermann, L. (PI)
;
Stanton, C. (PI)
;
Sun, Q. (PI)
;
Szucs, G. (PI)
;
Tripathy, A. (PI)
;
Venkatesh, A. (PI)
;
Wilson, J. (PI)
;
Zhai, L. (PI)
;
Zhou, Y. (PI)
;
Zhu, B. (PI)
;
Buciumas, V. (TA)
;
Rosengarten, Z. (TA)
MATH 51A: Linear Algebra and Differential Calculus of Several Variables, ACE
Students attend
MATH 51 lectures with different recitation sessions: four hours per week instead of two, emphasizing engineering applications. Prerequisite: application; see
http://soe.stanford.edu/edp/programs/ace.html.
Terms: Aut, Win, Spr

Units: 6

UG Reqs: GER:DBMath, WAYFR

Grading: Letter (ABCD/NP)
MATH 51H: Honors Multivariable Mathematics
For prospective Mathematics majors in the honors program and students from other areas of science or engineering who have a strong mathematics background. Three quarter sequence covers the material of 51, 52, 53, and additional advanced calculus and ordinary and partial differential equations. Unified treatment of multivariable calculus, linear algebra, and differential equations with a different order of topics and emphasis from standard courses. Students should know onevariable calculus and have an interest in a theoretical approach to the subject. Prerequisite: score of 5 on BC Advanced Placement exam, or consent of instructor.
Terms: Aut

Units: 5

UG Reqs: GER:DBMath, WAYFR

Grading: Letter (ABCD/NP)
Instructors:
Vasy, A. (PI)
;
Peluse, S. (TA)
MATH 51M: Introduction to MATLAB for Multivariable Mathematics
This class complements MATH51 by exploring computational aspects of linear algebra and multivariable differential calculus using MATLAB. There are three goals for this course. First, this course provides a gentle introduction to MATLAB and scientific programming. Second, this course explains how to use MATLAB to solve problems in linear algebra and multivariable differential calculus encountered in
MATH51. Finally, this course explains how certain key algorithms from MATH51 are implemented quickly and efficiently by commonly used scientific computing packages. Each class consists of a short lecture followed by an inclass onlaptop activity.
Terms: Aut

Units: 1

Grading: Letter or Credit/No Credit
Instructors:
Skryzalin, J. (PI)
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