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CPSC 3200 Algorithm Analysis and Advanced Data Structure



A study of data structures and the algorithms used to process them. Algorithms for handling strings, stacks, lists, trees and graphs. Sorting and searching techniques. Recursive and non-recursive algorithms. Efficiency considerations. Prerequisites: CPSC 2100 and MATH 2030 or MATH 3030 with minimum grades of C or department head approval. 


  • Understand and develop recursive algorithms.  Implement recursive programs.
  • Understand and implement classical sorting and searching algorithms.
  • Understand and implement classical data structures and associated algorithms (trees, heaps, linked lists, graphs).
  • Understand and implement applications of classical data structures.
  • Demonstrate an understanding of "Big O" notation, and its mathematical definition.
  • Determine the computational complexity of algorithms.
  • Determine the memory storage requirements of data structures.
  • Evaluate and compare options regarding algorithms, data structures and other aspects in the design, implementation and analysis of a software product.


Required: Data Structures and Algorithms in Java, 5th Edition

by Michael T. Goodrich, Roberto Tamassia

ISBN 978-0-470-38326-1


Lecture Notes

Lecture 1: Indices, Nodes, and Recursion

Lecture 2: Analysis Tools

Lecture 3: Stacks, Queues, and Deques

Lecture 4: Trees

Lecture 5: Heaps and Priority Queues

Lecture 6: Hash Tables, Maps, and Skip Lists

Lecture 7: Sorting, Sets, and Selection

Lecture 8: Graph Algorithms


Assignment 1

Assignment 2

Assignment 3

Assignment 4

Assignment 5