This course is offered online and it is recommended you complete a short self-assessment to ensure readiness before taking an online course.
This foundational course covers probability theory's principles and applications in computer science. It starts with combinatorics, then delves into key probability concepts and distributions, alongside analytical tools. The final part focuses on applying probability in machine learning through real-world cases, fostering practical skills and deeper comprehension for future careers.
- Lecture hours/semester: 48-54
- Lab hours/semester: 48-54
- Homework hours/semester: 96-108
Textbook: View textbook in Bookstore
Instructor:
Kamran Eftekhari, eftekharik@smccd.edu
Section Information as of Monday, December 30 2024 - 10:05:21 am
Course status: Open for Waitlist - 1 on waitlist
InstructorSection | Meeting Date | Meeting Time | Days | Building | Room | Section | Section Description |
---|---|---|---|---|---|---|---|
Instructor: Kamran Eftekhari | 01/13-05/22 | Online course | 0000 | OLH | Online | ||
Instructor: Kamran Eftekhari | 01/13-05/22 | Online course | 0000 | OLH | Online |
Critical Dates for this Course | Date |
---|---|
Last day to add class | January 27, 2025 |
Last day to drop with a refund | January 27, 2025 |
Last day to drop without a "W" | February 2, 2025 |
Last day to drop with a "W" | April 23, 2025 |
Last day to change to Pass/No Pass Grading Option | May 22, 2025 |