2024 Fall
COMPSCI 270 001 - LEC 001
Combinatorial Algorithms and Data Structures
Satish B Rao
Class #:31392
Units: 3
Instruction Mode:
In-Person Instruction
Time Conflict Enrollment Allowed
Offered through
Electrical Engineering and Computer Sciences
Current Enrollment
Total Open Seats:
17
Enrolled: 81
Waitlisted: 0
Capacity: 98
Waitlist Max: 0
Open Reserved Seats:
10 reserved for Electrical Engineering and Computer Sciences - Master of Engineering Students
70 reserved for Computer Science and Electrical Engineering and Computer Sciences Graduate Students
Hours & Workload
3 hours of instructor presentation of course materials per week, 5 hours of outside work hours per week, and 1 hours of the exchange of opinions or questions on course material per week.
Other classes by Satish B Rao
Course Catalog Description
Design and analysis of efficient algorithms for combinatorial problems. Network flow theory, matching theory, matroid theory; augmenting-path algorithms; branch-and-bound algorithms; data structure techniques for efficient implementation of combinatorial algorithms; analysis of data structures; applications of data structure techniques to sorting, searching, and geometric problems.
Class Notes
* Time conflicts are NOT allowed.
* Interested UNDERGRADUATES, please complete this form and be patient: The professor will review students and provide permission codes during the adjustment period. https://forms.gle/qkH23uyZLT9wD7158
* Interested UNDERGRADUATES, please complete this form and be patient: The professor will review students and provide permission codes during the adjustment period. https://forms.gle/qkH23uyZLT9wD7158
Rules & Requirements
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Current Enrollment
Open Reserved Seats:
10 reserved for Electrical Engineering and Computer Sciences - Master of Engineering Students
70 reserved for Computer Science and Electrical Engineering and Computer Sciences Graduate Students
Textbooks & Materials
See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.
Guide to Open, Free, & Affordable Course Materials