Course Home
    Announcements
    Syllabus
    Course Policies
    Course Schedule/Notes
    Discussion
    Projects
    Project Submission
    Sample Tests
    Test Solutions
    Grades
    Re-Grade Form
    Resources

COP 3530: Data Structures and Algorithms

Course Schedule and Notes
Below is a complete lecture-by-lecture breakdown of this course. Listed for each lecture are the general topics to be covered as well as the relevant readings from the course textbook. In addition a complete set of lecture notes is provided for each day.

Date Lecture Topics Readings Notes
May 14 Introduction
Course Overview
Chapter 1 Lecture 1
May 16 Performance Analysis
Asymptotic Complexity
Chapter 2-3 Lecture 2
May 18 Data Structures Basics
Linear List - ADT and Operations
Chapter 5.1-5.2 Lecture 3
May 21 Linear List - Array Representation
Linear List - Array Implementation
Chapter 5.3-5.8 Lecture 4
May 23 Linear List - Link Representation
Linear List - Link Implementation
Chapter 6 Lecture 5
May 25 NO CLASS - Instructor Gone - -
May 28 NO CLASS - Memorial Day - -
May 30 Linear List - Simulated Pointers
Memory Management & Garbage Collection
Chapter 7.1-7.6 Lecture 6
June 1 Arrays - Representation & Implementation
Matrices - Representation & Implementation
Chapter 8 Lecture 7
June 4 Stacks - Applications
Stacks - Implementation
Chapter 9 Lecture 8
June 6 Queues - Applications
Queues - Implementation
Chapter 10 Lecture 9
June 8 Test Review
Review of Material
- Test Review
June 11 Test 1 - -
June 13 Dictionaries
Hashing
LZW Compression
Chapter 11 Lecture 10
June 15 Trees
Binary Trees - Definitions
Chapter 12.1-3 Lecture 11
June 18 Binary Trees - Implementation
Binary Trees - Traversal Methods
Chapter 12.4-10 Lecture 12
June 20 Priority Queues - Definitions
Heap Sort
Chapter 13.1-3 Lecture 13
June 22 Heaps - Implementation
Leftist Trees
Chapter 13.4-6 Lecture 14
June 25-29 NO SCHOOL - Summer Break - -
July 2 Winner/Loser Trees
Binary Search Trees
Chapter 14, 15 Lecture 15
July 4 NO CLASS - Fourth of July - -
July 6 Balanced Binary Search Trees Chapter 16 Lecture 16
July 9 Test 2 - -
July 11 Graphs - Applications
Graphs - Representation
Chapter 17.1-7 Lecture 17
July 13 NO CLASS - Instructor Gone - -
July 16 Graphs - Search Methods Chapter 17.8-9 Lecture 18
July 18 Greedy Method - Definitions Chapter 18.1-2 Lecture 19
July 20 Greedy Method - Applications Chapter 18.3-4 Lecture 20
July 23 Divide and Conquer - Definition Chapter 19.1-2 Lecture 21
July 25 Divide and Conquer - Applications Chapter 19.3-4 Lecture 22
July 27 Dynamic Programming - Definition Chapter 20.1 Lecture 23
July 30 Dynamic Programming - Applications Chapter 20.2-3 Lecture 24
August 1 Hard Problems
Backtracking
Branch and Bound
Chapter 21-22 Lecture 25
August 3 Test 3 - -
August 6-10 NO CLASS - Class Cancelled - -


Christian Roberson 2005-2006