Beginning Java Data Structures and Algorithms
Beginning Java Data Structures and Algorithms, available at $49.99, has an average rating of 4.5, with 35 lectures, 6 quizzes, based on 5 reviews, and has 54 subscribers.
You will learn about Understand some of the fundamental concepts behind key algorithms Express space and time complexities using Big O notation. Correctly implement classic sorting algorithms such as merge and quicksort Correctly implement basic and complex data structures Learn about different algorithm design paradigms, such as greedy, divide and conquer, and dynamic programming Apply powerful string matching techniques and optimize your application logic Master graph representations and learn about different graph algorithms This course is ideal for individuals who are If you want to better understand common data structures and algorithms by following code examples in Java and improve your application efficiency, then this is the course for you. It is particularly useful for If you want to better understand common data structures and algorithms by following code examples in Java and improve your application efficiency, then this is the course for you.
Enroll now: Beginning Java Data Structures and Algorithms
Summary
Title: Beginning Java Data Structures and Algorithms
Price: $49.99
Average Rating: 4.5
Number of Lectures: 35
Number of Quizzes: 6
Number of Published Lectures: 35
Number of Published Quizzes: 6
Number of Curriculum Items: 41
Number of Published Curriculum Objects: 41
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
- Understand some of the fundamental concepts behind key algorithms
- Express space and time complexities using Big O notation.
- Correctly implement classic sorting algorithms such as merge and quicksort
- Correctly implement basic and complex data structures
- Learn about different algorithm design paradigms, such as greedy, divide and conquer, and dynamic programming
- Apply powerful string matching techniques and optimize your application logic
- Master graph representations and learn about different graph algorithms
Who Should Attend
- If you want to better understand common data structures and algorithms by following code examples in Java and improve your application efficiency, then this is the course for you.
Target Audiences
- If you want to better understand common data structures and algorithms by following code examples in Java and improve your application efficiency, then this is the course for you.
Learning about data structures and algorithms gives you better insight on how to solve common programming problems. Most of the problems faced every day by programmers have been solved, tried, and tested. By knowing how these solutions work, you can ensure that you choose the right tool when you face these problems.
This course teaches you tools that you can use to build efficient applications. It starts with an introduction to algorithms and big O notation, later explains bubble, merge, quicksort, and other popular programming patterns. You’ll also learn about data structures such as binary trees, hash tables, and graphs. The course progresses to advanced concepts, such as algorithm design paradigms and graph theory. By the end of the course, you will know how to correctly implement common algorithms and data structures within your applications.
About the Author
Kristian Secor has been in the industry for quite a while. He a M.S. focusing on web development and an Ed.D focusing on educational technology. He has been developing for about 20 years and has been teaching for about 16 years at the University level for the frontend, backend, and mobile application courses. Currently, he is working as the Program Head for the Web Development Department at San Diego Mesa College. He is also an instructor for both user experience and frontend development at U.C. San Diego Extension.
Course Curriculum
Chapter 1: Algorithms and Complexities
Lecture 1: Course Overview
Lecture 2: Lesson Overview
Lecture 3: Developing Our First Algorithm
Lecture 4: Measuring Algorithmic Complexity with Big O Notation
Lecture 5: Identifying Algorithms with Different Complexities
Lecture 6: Summary
Chapter 2: Sorting Algorithms and Fundamental Data Structures
Lecture 1: Lesson Overview
Lecture 2: Introducing Bubble Sorting
Lecture 3: Understanding Quick Sort
Lecture 4: Using Merge Sort
Lecture 5: Getting Started with Fundamental Data Structures
Lecture 6: Summary
Chapter 3: Hash Tables and Binary Search Trees
Lecture 1: Lesson Overview
Lecture 2: Introducing Hash Tables Part 1
Lecture 3: Introducing Hash Tables Part 2
Lecture 4: Getting Started with Binary Search Trees
Lecture 5: Traversing a Binary Search Tree
Lecture 6: Summary
Chapter 4: Algorithm Design Paradigms
Lecture 1: Lesson Overview
Lecture 2: Introducing Greedy Algorithms
Lecture 3: Getting Started with Divide and Conquer Algorithms
Lecture 4: Understanding Dynamic Programming
Lecture 5: Summary
Chapter 5: String Matching Algorithms
Lecture 1: Lesson Overview
Lecture 2: Naive Search Algorithms
Lecture 3: Getting Started with the Boyer-Moore String Searching Algorithm
Lecture 4: Introducing Other String Matching Algorithms
Lecture 5: Summary
Chapter 6: Graphs, Prime Numbers, and Complexity Classes
Lecture 1: Lesson Overview
Lecture 2: Representing Graphs
Lecture 3: Traversing a Graph
Lecture 4: Calculating Shortest Paths
Lecture 5: Prime Numbers in Algorithms
Lecture 6: Other Concepts in Graphs
Lecture 7: Summary
Instructors
-
Packt Publishing
Tech Knowledge in Motion
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 0 votes
- 3 stars: 0 votes
- 4 stars: 3 votes
- 5 stars: 2 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
You may also like
- Top 10 Video Editing Courses to Learn in November 2024
- Top 10 Music Production Courses to Learn in November 2024
- Top 10 Animation Courses to Learn in November 2024
- Top 10 Digital Illustration Courses to Learn in November 2024
- Top 10 Renewable Energy Courses to Learn in November 2024
- Top 10 Sustainable Living Courses to Learn in November 2024
- Top 10 Ethical AI Courses to Learn in November 2024
- Top 10 Cybersecurity Fundamentals Courses to Learn in November 2024
- Top 10 Smart Home Technology Courses to Learn in November 2024
- Top 10 Holistic Health Courses to Learn in November 2024
- Top 10 Nutrition And Diet Planning Courses to Learn in November 2024
- Top 10 Yoga Instruction Courses to Learn in November 2024
- Top 10 Stress Management Courses to Learn in November 2024
- Top 10 Mindfulness Meditation Courses to Learn in November 2024
- Top 10 Life Coaching Courses to Learn in November 2024
- Top 10 Career Development Courses to Learn in November 2024
- Top 10 Relationship Building Courses to Learn in November 2024
- Top 10 Parenting Skills Courses to Learn in November 2024
- Top 10 Home Improvement Courses to Learn in November 2024
- Top 10 Gardening Courses to Learn in November 2024