Data Structures and Algorithms

Course Outline and Seminars:


Claude Monet, Wheatstacks (End of Summer) (1890–91)

The following is a tentative outline for the classes, seminars, and required reading for the course.


Seminar Date Topic Reading
Module I · The Linear
1 TBD Interfaces and Implementations
2 TBD Asymptotic Analysis
3 TBD Linked Lists and Arrays
4 TBD Dynamic Arrays and Amortized Analysis
5 TBD Stacks and Queues
Module II · The Hierarchical
6 TBD Abstract Data Types
7 TBD Binary Search Trees
8 TBD Balanced Search Trees
9 TBD Heaps: Eager and Lazy
10 TBD Priority Queues and Applications
Module III · The Probabilistic
11 TBD Hashing: Theory and Practice
12 TBD Hash Tables and Collision Resolution
13 TBD Skip Lists
14 TBD Randomized Analysis
Module IV · The String-Oriented
15 TBD Tries
16 TBD Range Queries
17 TBD Segment Trees and Fenwick Trees
Module V · The Relational
18 TBD Graphs: Representations
19 TBD Breadth-First Search
20 TBD Depth-First Search
21 TBD Shortest Paths
22 TBD Minimum Spanning Trees
Synthesis and Final
23 TBD Choosing a Data Structure: Case Studies
24 TBD Final Exam

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