Algorithm Training Camp 2021 – Course Outline and Materials
The article provides a detailed outline of the 2021 Algorithm Training Camp, listing weekly topics such as trees, graphs, dynamic programming, and advanced search, along with corresponding video lessons, assignment files, exam sessions, and supplementary Git & GitHub tutorials.
The 2021 Algorithm Training Camp offers a comprehensive curriculum that covers fundamental algorithms and data structures, organized into weekly modules.
Weekly topics span from basic concepts like arrays, linked lists, stacks, and queues to more advanced subjects such as prefix sums, hash tables, recursion, divide‑and‑conquer, tree and graph algorithms, depth‑first and breadth‑first search, sorting, greedy strategies, dynamic programming, tries, union‑find, segment trees, binary indexed trees, advanced search techniques, balanced binary trees, and skip lists, concluding with a review and final exam.
Each week provides video lectures (e.g., "第5课 树与图.mp4"), accompanying text resources, and homework assignments; midterm and final examinations are scheduled in weeks 5 and 10 respectively.
Supplementary material includes a Git & GitHub operation guide featuring multiple tutorial videos that cover the basics of version control, installation, repository synchronization, and practical workflows. The article ends with a promotional note encouraging readers to like, share, and comment.
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