Design and Analysis of Algorithms
Algorithms are essential to the study of computer science and are increasingly important in the natural sciences, social sciences and industry. Learn how to effectively construct and apply techniques for analyzing algorithms including sorting, searching, and selection. Gain an understanding of algorithm design technique and work on algorithms for fundamental graph problems including depth-first search, worst and average case analysis, connected components, and shortest paths.
- Recurrences and asymptotics
- Divide-and-conquer, dynamic programming, randomization
- Sequence alignment
- Minimum-cost spanning tree
- Topological sort
- Data structures
The course schedule is displayed for planning purposes – courses can be modified, changed, or cancelled. Course availability will be considered finalized on the first day of open enrollment. For quarterly enrollment dates, please refer to our graduate education section.
|Dates:||June 20 - August 11, 2022|
Enrollment Dates: March 21 at 9:00 to June 10, 2022 at 5:00pm
Computer Science Department Requirement
Students taking graduate courses in Computer Science must enroll for the maximum number of units and maintain a B or better in each course in order to continue taking courses under the Non Degree Option.
This course may not currently be available to learners in some states and territories.