Data Structures and Algorithms
Data Structures and Algorithms, available at $44.99, has an average rating of 4.3, with 27 lectures, 5 quizzes, based on 172 reviews, and has 1076 subscribers.
You will learn about Learning about the different types of operations on Linear ADT Insight into the applications of linear ADT Able to analyse the performance of an algorithm design based on the appropriate data structures. Able to choose the data structure and algorithm for a given problem based on the evaluation This course is ideal for individuals who are Beginners in learning Computer Science Subjects It is particularly useful for Beginners in learning Computer Science Subjects.
Enroll now: Data Structures and Algorithms
Summary
Title: Data Structures and Algorithms
Price: $44.99
Average Rating: 4.3
Number of Lectures: 27
Number of Quizzes: 5
Number of Published Lectures: 27
Number of Published Quizzes: 5
Number of Curriculum Items: 32
Number of Published Curriculum Objects: 32
Original Price: ₹1,199
Quality Status: approved
Status: Live
What You Will Learn
- Learning about the different types of operations on Linear ADT
- Insight into the applications of linear ADT
- Able to analyse the performance of an algorithm design based on the appropriate data structures.
- Able to choose the data structure and algorithm for a given problem based on the evaluation
Who Should Attend
- Beginners in learning Computer Science Subjects
Target Audiences
- Beginners in learning Computer Science Subjects
This course is aimed at any undergraduate students who are at beginners level in learning Data Structure and Algorithm, This course focus on the fundamental concepts of Data structure, its analysis and analysis of algorithms.
Basic ADT’s Arrays, Linked Lists, Stacks and Queue are discussed in detail. The course is not aimed at writing the pseudo code for operations, rather on their working. Each one discussed with applications and their Pros and Cons.
The second part of the course is to teach analysis of simple algorithms with appropriate example. The two algorithm design technique Iterative and Divide and Conquer are discussed in detail with reference to the sorting algorithms.
Each session is provided with practice example and quiz to know the level of understanding.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: Course Curriculum
Lecture 3: Introduction to Data Structure
Chapter 2: Abstract Data Types, Arrays
Lecture 1: Abstract Data Type
Lecture 2: Abstract Data Type- Classification
Lecture 3: Arrays
Lecture 4: Arrays-Operations
Lecture 5: Arrays-Practice Problems
Chapter 3: Linked Lists
Lecture 1: Linked Lists
Lecture 2: Linked Lists-Searching -Traversal
Lecture 3: Linked Lists-Insertion-Deletion
Lecture 4: Linked Lists-Variations-Practice Example
Chapter 4: Stacks and Queue
Lecture 1: Stacks
Lecture 2: Stacks-Applications
Lecture 3: Queue
Lecture 4: Practice Example
Chapter 5: Algorithm Design Techniques
Lecture 1: Introduction to Algorithms
Lecture 2: Analysing Algorithms
Chapter 6: Sorting Algorithms- Iterative Design
Lecture 1: Introduction
Lecture 2: Insertion sort
Lecture 3: Selection and Bubble Sort
Lecture 4: Analysis of Sorting Algorithms
Lecture 5: Practice Example
Chapter 7: Divide and Conquer
Lecture 1: Introduction, Merge Sort
Lecture 2: Quick Sort
Lecture 3: Practice Example
Chapter 8: Conclusion
Lecture 1: Other Algorithm Design Techniques
Instructors
-
VENKATACHALAM MAHESWARI
Educator
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 4 votes
- 3 stars: 27 votes
- 4 stars: 73 votes
- 5 stars: 68 votes
Frequently Asked Questions
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