CS 206: Principles of Scientific Computing Winter 2021

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Instructor Xiaohui Xie
Lectures Virtual MW 11:00-12:20
Office Hours TBD
Course Code 34720
Other Links Piazza

Course description
Overview of widely used principles and methods in scientific computing, including basic concepts and computational methods in computational linear algebra and convex optimization.

The primary objective is to introduce mathematical foundations for machine learning.

Tentative topics include
Prerequisites
Grading and homework policy
Lecture schedule
Textbooks
Software
Piazza
We will be using Piazza for class discussion. The system is highly catered to getting you help fast and efficiently from classmates and myself. Rather than emailing questions to me, I encourage you to post your questions on Piazza. If you have any problems or feedback for the developers, email team@piazza.com.

Find our class page at: https://piazza.com/uci/winter2021/cs206/home

Academic Honesty
Academic honesty is a requirement for passing this class. Any student who compromises the academic integrity of this course is subject to a failing grade. The work you submit must be your own. Academic dishonesty includes, but is not limited to copying answers from another student, allowing another student to copy your answers, communicating exam answers to other students during an exam, attempting to use notes or other aids during an exam, or tampering with an exam after it has been corrected and then returning it for more credit. If you do so, you will be in violation of the UCI Policies on Academic Honesty (see link). It is your responsibility to read and understand these policies. Note that any instance of academic dishonesty will be reported to the Academic Integrity Administrative Office for disciplinary action and may be cause for a failing grade in the course.