• Lecture 01: Administrivia/Introduction/Analysis of Algorithms, Insertion Sort, Mergesort
  • Lecture 02: Asymptotic Notation/Recurrences/Substitution, Master Method
  • Lecture 03: Divide-and-Conquer: Strassen, Fibonacci, Polynomial Multiplication
  • Lecture 04: Quicksort, Randomized Algorithms
  • Lecture 05: Linear-time Sorting: Lower Bounds, Counting Sort, Radix Sort
  • Lecture 07: Hashing, Hash Functions
  • Lecture 15: Dynamic Programming, Longest Common Subsequence
  • Lecture 16: Greedy Algorithms, Minimum Spanning Trees
  • Lecture 06: Order Statistics, Median
  • Lecture 12: Skip lists
  • Lecture 10: Red-black Trees, Rotations, Insertions, Deletions
  • Lecture 17: Shortest Paths I: Properties, Dijkstra's Algorithm, Breadth-first Search
  • Lecture 09: Relation of BSTs to Quicksort/Analysis of Random BST
  • Lecture 08: Universal Hashing, Perfect Hashing
  • Lecture 14: Competitive Analysis: Self-organizing Lists
  • Lecture 25: Advanced Topics (cont.)/Discussion of Follow-on Classes
  • Lecture 22: Advanced Topics
  • Lecture 11: Augmenting Data Structures, Dynamic Order Statistics, Interval Trees
  • Lecture 18: Shortest Paths II: Bellman-Ford, Linear Programming, Difference Constraints
  • Lecture 23: Advanced Topics (cont.)
  • Lecture 13: Amortized Algorithms, Table Doubling, Potential Method
  • Lecture 19: Shortest Paths III: All-pairs Shortest Paths, Matrix Multiplication, Floyd-Warshall, Johnson
  • Lecture 24: Advanced Topics (cont.)
  • Lecture 2: Bit Hacks
  • Lecture 16: Synchronizing without Locks

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