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CSCI H343 Data Structures

Indiana University, Fall 2021

This course studies the fundamental ideas for efficiently analyzing large amounts of data, such as DNA sequence databases and geographic information. These fundamental ideas come in two kinds: algorithms and data structures. Algorithms are instructions for solving problems and data structures are strategies for organizing information on computers. Efficient algorithms require appropriate data structures, and vice versa, so the study of algorithms and data structures is tightly linked. In this course we learn about the algorithms and data structures that form the building blocks for many of Today’s large-scale computer systems. We apply these ideas to solve challenging problems in bioinformatics and geographic information systems. Warning: a possible side-effect of taking this course is doing better on job interview questions.


Mondays and Wednesdays 1:10pm-2:25pm, Student Building, Room 138.


Fridays 10:00am-11:55am, Ballantine Hall 118.

Instructors and Office Hours


Data Structures and Algorithm Analysis in Java, 3rd Ed. by Mark A. Weiss

Slack (communicating with instructors and other students)

Workspace (signup)


Day Lecture Topic Reading Due Assignment Due
Aug. 23 Introduction    
Aug. 25 Arrays, Rotation, Correctness Ch. 1  
Aug. 27     Lab: Array Search, submit
Aug. 30 Code Review & Algorithm Analysis Ch. 2  
Sep. 1 Algo. Analysis cont’d    
Sep. 3     Project: Flood it!, submit
Sep. 6 Labor Day    
Sep. 8 Linked Lists & Streams Ch. 3 sec. 1-5 Homework 1
Sep. 10     Lab: Streams, submit
Sep. 13 Iterators, Merge Sort, Stack, Queue, Set Ch. 3 sec. 6-7  
Sep. 15 Binary Trees Ch. 4 sec. 1-2 Assignment: MergeSort, submit
Sep. 17     Lab: BinaryTree submit, Quiz
Sep. 20 Binary Search Trees Ch. 4 sec. 3 and 7  
Sep. 22 Loop Invariants, Correctness of Recursive Functions Ch. 4 sec. 4 Assignment: AVLTree submit
Sep. 24     Lab: NextPrevBinaryTree submit
Sep. 27 AVL Trees    
Sep. 29 BST and AVL Remove, Segment Intersection    
Oct. 1     Project: Segment Intersection submit
Oct. 4 Hash tables Ch. 5 sec. 1-3  
Oct. 6 Debugging and Testing    
Oct. 8 Fall Break    
Oct. 11 Review for Midterm Exam    
Oct. 13 Midterm Exam    
Oct. 15     Lab: HashTable submit
Oct. 18 Heaps and Priority Queues Ch. 6 sec. 1-4, 9  
Oct. 20 Binomial Queues Ch. 6 sec. 8  
Oct. 22     Lab: BinomialHeap submit
Oct. 25 Quicksort Ch. 7, sec. 1-7  
Oct. 27 Sorting in Linear Time Ch. 7 sec. 11  
Oct. 29     Lab: QuickSort submit
Nov. 1 Graphs, Topological Order Ch. 9, sec. 1-2  
Nov. 3 Breadth and Depth-first search Ch. 9, sec. 3  
Nov. 5     Lab: ConnectedComponents submit
Nov. 8 Shortest Paths    
Nov. 10 Union-Find Ch. 8  
Nov. 12     Project: RoutingWires submit
Nov. 15 Minimum Spanning Trees, NO CLASS, video instead Ch. 9, sec. 5  
Nov. 17 Greedy Algorithms Ch. 10, sec. 1, Ch. 10, sec. 2 video
Nov. 19     Lab: HuffmanCoding submit
Nov. 22-26 Thanksgiving Break    
Nov. 29 Dynamic Programming Ch. 10, sec. 3  
Dec. 1 DNA Alignment    
Dec. 3     Lab: SeamCarving submit
Dec. 6 Backtracking    
Dec. 8 Review for Final Exam    
Dec. 10     Project: DNA Alignment submit
Dec. 17 Final Exam 12:35-2:35 PM in class  


Grade Weighting

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