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Questions and Answers
What is the primary purpose of a data structure?
What is the primary purpose of a data structure?
Which of the following is NOT a fundamental data structure discussed in the course?
Which of the following is NOT a fundamental data structure discussed in the course?
Which operation is typically associated with arrays?
Which operation is typically associated with arrays?
In which data structure are elements managed in a last-in, first-out manner?
In which data structure are elements managed in a last-in, first-out manner?
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What is a key characteristic of a priority queue?
What is a key characteristic of a priority queue?
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Study Notes
Course Description
- An algorithm outlines the steps for a program or computational procedure.
- A program is an implementation of an algorithm.
- A data structure is how data is organized for efficient program use.
- Data structures enable efficient data operations and storage.
- This course covers data structures and algorithms.
Learning Outcomes
- Learn basic data structures and algorithms.
- Understand searching and sorting techniques.
- Understand stacks, queues, lists, trees, and graphs.
- Learn to write algorithms using fundamental data structures.
Course Organization
- Three hours of lectures and two hours of laboratory each week.
- Active participation in lectures and labs is expected.
Course Texts
- Algorithms, Data Structures, and Problem Solving with C++, Illustrated Edition by Mark Allen Weiss
- How to Solve It by Computer, 2nd Impression by R.G. Dromey
- Fundamentals of Data Structures, Illustrated Edition by Ellis Horowitz, SartajSahni
Introduction to Data Structures
- Basic terminology and internal representation of primitive data structures.
- Integers, floating-point numbers, decimals, characters, unions, structures, and pointers.
- Data types: arrays.
Data Types: Arrays
- Definition and memory organization.
- Various array operations:
- Insertion, deletion, traversing, updating, and resizing.
Other Data Structures
- Stacks
- Basic operations, stack, and its applications
- Queues
- Queue operations, circular queue, priority queue, applications
- Linked lists
- Singly linked lists and their memory representation. Operations like searching, insertion, deletion, traversing, inversion, concatenation, copying, comparison, allocation and deallocation. Doubly linked lists and their operations. Circular link lists and multilevel link lists.
- Trees
- Introduction, binary trees and their representation, operations (creation, transformation into binary trees, traversal, searching, insertion, and deletion), types of trees (e.g., complete binary trees, extended binary trees), general trees, AVL trees, threaded trees, and B-trees. Applications (arithmetic expression evaluation, infix-prefix-postfix notation conversion).
- Graphs
- Formal introduction and types of graphs. Representations such as sequential and list structures, adjacency lists, multilinked representations. Graph searches (BFS, DFS).
- Shortest paths, transitive closure, activity networks, topological sorts, and critical paths.
- Algorithms
- Sorting (bubble, selection, quick, radix, bucket sort, heap sort).
- Dictionaries (hashing).
- Searching (linear and binary).
- Character strings and string operations.
CS703: SIMULATION
- Introduction and application of simulation tools (e.g., NS-2, NS-3).
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Description
Test your knowledge on data structures and algorithms with this quiz. Explore concepts such as searching and sorting techniques, and familiarize yourself with stacks, queues, lists, trees, and graphs. Perfect for students engaged in our comprehensive data structures course!
