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Apprentice Mode
10 Modules / ~100 pages
Wizard Mode
~25 Modules / ~400 pages

Advanced Data Structures and Algorithms
( 25 Modules )

Module #1
Introduction to Advanced Data Structures
Overview of the course, importance of advanced data structures, and review of basic data structures
Module #2
Dynamic Programming
Introduction to dynamic programming, memoization, and tabulation, with examples and exercises
Module #3
Greedy Algorithms
Greedy algorithm design, activity selection problem, and Huffman coding
Module #4
Bit Manipulation
Bitwise operations, bitwise manipulation, and applications in algorithms
Module #5
Trie Data Structure
Introduction to trie data structure, prefix matching, and autocomplete
Module #6
Suffix Trees
Construction of suffix trees, Ukkonens algorithm, and applications
Module #7
Range Searching
Range searching problems, k-d trees, and quad trees
Module #8
Segment Trees
Segment tree construction, range sum queries, and updates
Module #9
Heap Data Structure
Heap properties, heap operations, and heap applications
Module #10
Balanced Binary Search Trees
AVL trees, Red-Black trees, and self-balancing BSTs
Module #11
Hash Tables
Hash function design, collision resolution, and hash table applications
Module #12
Graph Algorithms
Graph representations, graph traversal, and shortest path algorithms
Module #13
Minimum Spanning Trees
Kruskals algorithm, Prims algorithm, and Boruvkas algorithm
Module #14
Network Flow
Ford-Fulkerson algorithm, Edmonds-Karp algorithm, and flow applications
Module #15
Backtracking Algorithms
N-Queens problem, Sudoku solving, and constraint satisfaction
Module #16
String Algorithms
Rabin-Karp algorithm, Knuth-Morris-Pratt algorithm, and string matching
Module #17
Computational Complexity
Big O notation, time and space complexity, and NP-completeness
Module #18
Amortized Analysis
Amortized analysis, accounting method, and aggregate analysis
Module #19
Cache-Efficient Algorithms
Cache hierarchy, cache-friendly data structures, and algorithms
Module #20
Parallel Algorithms
Parallel algorithm design, parallel data structures, and parallel complexity
Module #21
Approximation Algorithms
Approximation algorithm design, approximation ratio, and hardness of approximation
Module #22
Data Structures for External Memory
External memory models, I/O-efficient algorithms, and data structures
Module #23
Streaming Algorithms
Streaming algorithm design, streaming data structures, and streaming complexity
Module #24
Online Algorithms
Online algorithm design, competitive ratio, and online learning
Module #25
Course Wrap-Up & Conclusion
Planning next steps in Advanced Data Structures and Algorithms career


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