2020 Spring COMPSCI 189 001 LEC 001 (original) (raw)

Jonathan Shewchuk

Jan 21, 2020 - May 08, 2020

Mo, We

06:30 pm - 07:59 pm

Class #:28347

Units: 4

Current Enrollment

Total Open Seats: 11

Enrolled: 728

Waitlisted: 2

Capacity: 739

Waitlist Max: 0

No Reserved Seats

Hours & Workload

1 hours of the exchange of opinions or questions on course material per week, 3 hours of instructor presentation of course materials per week, and 8 hours of outside work hours per week.

Final Exam

FRI, MAY 15TH

03:00 pm - 06:00 pm

Internet/Online

Other classes by Jonathan Shewchuk

Course Catalog Description

Theoretical foundations, algorithms, methodologies, and applications for machine learning. Topics may include supervised methods for regression and classication (linear models, trees, neural networks, ensemble methods, instance-based methods); generative and discriminative probabilistic models; Bayesian parametric learning; density estimation and clustering; Bayesian networks; time series models; dimensionality reduction; programming projects covering a variety of real-world applications.

Class Notes

* Initial enrollment capacity is set to 70% of total enrollment until TA hiring is complete. We anticipate total enrollment for the COMBINED class to be 744 seats.

* The lecture for this class will be screencast.

* Time conflicts with this class WILL be allowed by the Comp..show more

* Initial enrollment capacity is set to 70% of total enrollment until TA hiring is complete. We anticipate total enrollment for the COMBINED class to be 744 seats.

* The lecture for this class will be screencast.

* Time conflicts with this class WILL be allowed by the Computer Science department. NOTE: Faculty is NOT obligated to accommodate conflicting final exam times or project due dates.

* This class uses 999 sections. In addition to the lecture, you must in enroll in DIS 999 to enroll in the course. Selection and assignment into the actual discussions happen outside of CalCentral. Instructors will provide more information during the first lecture.

* Grad students MUST enroll into CS 289A. No graduate students will be approved to enroll into CS 189.show less

Rules & Requirements

Requisites

Credit Restrictions

Students will receive no credit for Comp Sci 189 after taking Comp Sci 289A.

Repeat Rules

Course is not repeatable for credit.

Reserved Seats

Current Enrollment

No Reserved Seats

Textbooks & Materials

Associated Sections