- <2021-10-04 Mon> Future communications will be primarily via
Slack. Check frequently “Schedule” page for reading materials, and
Google Classroom for classwork.
- <2021-09-27 Mon> The Fall term is officially here. Let’s get started!
- <2021-09-09 Thu> This class is switched to Attend Anywhere mode in Fall’21. Stay tuned for more information.
- <2021-08-03 Tue> Details such as the syllabus added.
- <2021-05-10 Mon> Welcome! Please stay tuned for updates.
- Instructor: Prof. Fang Song
- Email: fsong “AT” pdx.edu. Start your email subject line
- Lectures: TR 10:00 - 11:50 @ Hoff 109.
- Office hours: TBD.
- Google classroom: join with code u6njqvt.
- Overview: Emerging technologies, such as machine learning,
quantum computing, modern cryptography, and big data analysis, have
shown increasing significance of mathematical skills that go beyond
a conventional discrete math course. Probability theory and linear
algebra are evidently among the most essential. This course
synthesizes fundamental theories and tools of probability and
linear algebra with a slightly heavier weight on probability
theory, and showcases applications in various topics in computer
science. It aims to build a stronger foundation to facilitate
future exploration in the emerging technologies.
- Prerequisite: CS 350. This course is theoretical in nature and
contains extensive practice on math and analytical problems as well
as writing mathematical proofs.
- Text: No required text. See Resource
page for suggested texts
and additional useful materials.