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WSP 360 — Linear Algebra (ICME Workshop)

Quarter: Summer
Day(s): Monday
Course Format: Live Online (About Formats)
Duration: 1 day
Date(s): Aug 17
Time: 9:00 am—4:45 pm
Drop Deadline: Aug 7
Unit: 0
Grade Restriction: NGR only; no credit/letter grade
Tuition: $400
Limit: 30
Status: Open
Please Note: Registration closes on August 14 at 5 pm. The refund deadline for this workshop is August 7 at 5 pm.
Summer
Live Online
Monday
9:00 am—4:45 pm
Date(s)
Aug 17
1 day
Drop By
Aug 7
0 Unit
Fees
$400
Grade Restriction
NGR only; no credit/letter grade
Instructor(s):
Limit
30
Open
Please Note: Registration closes on August 14 at 5 pm. The refund deadline for this workshop is August 7 at 5 pm.
The Fundamentals of Data Science

Big data has changed the way we work, live, and play. Data science—developing and testing models and algorithms—helps us gain knowledge for ourselves and provide insights to others.

Linear Algebra is one of ten workshops included in Fundamentals of Data Science, a series of one-day workshops offered by the Stanford Institute for Computational and Mathematical Engineering (ICME). Fundamentals of Data Science provides an introduction to multiple aspects of data science for those who are new to the field and those seeking to broaden their education and skills in data science. Students can sign up for one workshop, or several throughout the week. Students who complete four workshops will qualify for the Stanford ICME Fundamentals of Data Science Summer Workshops Certificate of Completion.

These workshops are not eligible for tuition discounts through Stanford Continuing Studies, but ICME offers discounts for eligible affiliates and partners. See below for details:

Stanford staff and full-time Stanford students: You may be eligible for a tuition discount if you register directly through ICME. The tuition for Stanford staff is $100 (may be STAP Fund-eligible) and the tuition for full-time Stanford students is $75. For more information and to register with these discounts, visit
https://sto.stanfordtickets.org/icme2020/homepage.

ICME partners and affiliates qualify for a discount. If you think you qualify and have not received a discount code separately, email ticketorders@stanford.edu. You will need to register through ICME's website.

Workshop: Linear Algebra
Instructor: Margot Gerritsen, Senior Associate Dean for Educational Affairs, Professor of Energy Resources Engineering, Senior Fellow at the Precourt Institute for Energy and Professor, by courtesy, of Civil and Environmental Engineering

Matrix computations/linear algebra are the backbone of data science algorithms. If your linear algebra is rusty, or if you are not familiar with critical concepts (including orthogonal decompositions and least squares), then this workshop is for you. In the morning, we will cover basic ideas in linear algebra (matrix-vector manipulations, norms, subspaces and solving matrixvector systems). In the afternoon, we will discuss more advanced concepts including QR decompositions and the SVD.

Please note: Although the enrollment limit for this workshop is set to 30 Continuing Studies students, this course is designed for the entire Stanford community, and enrolled Continuing Studies students will be joined in the classroom by Stanford graduates and undergraduates. Students should expect a large class.