2023 Fall MATH 156 001 LEC 001

2023 Fall

MATH 156 001 - LEC 001

Numerical Analysis for Data Science and Statistics

Jon A Wilkening, Zachary James McNulty

Aug 23, 2023 - Dec 08, 2023
Tu, Th
12:30 pm - 01:59 pm
Class #:32826
Units: 4

Instruction Mode: In-Person Instruction

Offered through Mathematics

Current Enrollment

Total Open Seats: 20
Enrolled: 25
Waitlisted: 0
Capacity: 45
Waitlist Max: 5
No Reserved Seats

Hours & Workload

3 hours of instructor presentation of course materials per week, and 9 hours of outside work hours per week.

Final Exam

FRI, DECEMBER 15TH
08:00 am - 11:00 am
Etcheverry 3109

Other classes by Zachary James McNulty

Course Catalog Description

Introduction to applied linear algebra, numerical analysis and optimization with applications in data science and statistics. Topics covered include: • Floating-point arithmetic, condition number, perturbation theory, backward stability analysis • Matrix decompositions (LU/QR/Cholesky/SVD), least squares problems, orthogonal matrices • Eigenvalues, eigenvectors, Rayleigh quotients, generalized eigenvalues • Principal components, low rank approximation, compressed sensing, matrix completion • Convexity, Newton’s method, Levenberg-Marquardt method, quasi-Newton methods • Randomized linear algebra, stochastic gradient descent • Machine learning, neural networks (deep/convolution), adjoint methods, backpropagation

Rules & Requirements

Repeat Rules

Course is not repeatable for credit.

Reserved Seats

Current Enrollment

No Reserved Seats

Textbooks & Materials

See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.

Textbook Lookup

Guide to Open, Free, & Affordable Course Materials

eTextbooks

Associated Sections

None