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- Difficulty: 🌟🌟🌟
- Class Hour: 60 hours
Berkeley's algorithm design course which focuses more on the theoretical foundations and complexity analysis of algorithms. The course covers Divide-and-Conquer, Graph Algorithms, Shortest Paths, Spanning Trees, Greedy Algorithms, Dynamic programming, Union Finds, Linear Programming, Network Flows, NP-Completeness, Randomized Algorithms, Hashing, etc.
This is Berkeley's algorithm design and analysis course. It focuses on the theoretical foundations and complexity analysis of algorithms, covering Divide-and-Conquer, Graph Algorithms, Shortest Paths, Spanning Trees, Greedy Algorithms, Dynamic programming, Union Finds, Linear Programming, Network Flows, NP-Completeness, Randomized Algorithms, Hashing, etc.
The textbook for this course is well written and the proofs in it are easy to understand and very suitable as a reference book. In addition, this class has only written assignments and is recommended to be written in LaTeX, so you can take this opportunity to practice your LaTeX skills.
The textbook for this course is well written and very suitable as a reference book. In addition, this class has written assignments and is recommended to use LaTeX. You can take this opportunity to practice your LaTeX skills.
## Course Resources
- Course Website: <https://cs170.org/>
- Recordings: <https://www.youtube.com/playlist?list=PLnocShPlK-Ft-o7NInBDw18be86dNaxlT>
- Recordings: refer to course website
- Assignments: refer to course website
- Recordings: refer to the course website
- Assignments: refer to the course website
## Personal Resources
All the resources and assignments used by @PKUFlyingPig in this course are maintained in [PKUFlyingPig/UCB-CS170 - GitHub](https://github.com/PKUFlyingPig/UCB-CS170)
All the resources and assignments used by @PKUFlyingPig in this course are maintained in [PKUFlyingPig/UCB-CS170 - GitHub](https://github.com/PKUFlyingPig/UCB-CS170)