Data Structures & Algorithms in Java: Introduction
Java SE 13
| Beginner
- 16 videos | 1h 53m 5s
- Includes Assessment
- Earns a Badge
Refine your programming skills by exploring the most commonly-used data structures and algorithms in Java. In this course, you'll learn about the importance of data structures and algorithms in writing efficient and correct code. You'll explore the differences between abstract data types and data structures. You'll then learn how you can use complexity to measure the performance of your code based on running time, space, network usage, and other resources. Next, you'll examine the big-O notation to measure complexity. Finally, you'll learn how to analyze different methods to determine their running time, expressed using the big-O notation.
WHAT YOU WILL LEARN
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discover the key concepts covered in this course
recall the importance of using data structures and algorithms
recognize the differences between data structures and abstract data types
measure performance based on time, space, and network bandwidth usage
apply complexity to measure performance
use the big-O notation as a measure of complexity
set up a new Java project
analyze algorithms with constant time complexity -
analyze algorithms with linear time complexity
recognize more algorithms that have linear time complexity
time operations to see how the running time changes based on input size
recognize simple examples from the real world that exhibit linear time complexity
analyze algorithms with quadratic time complexity
analyze algorithms with cubic time complexity
analyze algorithms with logarithmic time complexity
summarize the key concepts covered in this course
IN THIS COURSE
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1m 57s
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8m 31sAfter completing this video, you will be able to recall the importance of using data structures and algorithms. FREE ACCESS
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3. Data Structures vs. Abstract Data Types3m 9sUpon completion of this video, you will be able to recognize the differences between data structures and abstract data types. FREE ACCESS
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4. Dimensions of Performance7m 43sIn this video, you will measure performance based on time, space, and network bandwidth usage. FREE ACCESS
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5. Complexity as a Measure of Performance9m 27sFind out how to apply complexity measures to performance. FREE ACCESS
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6. The Big-O Notation9m 33sIn this video, you will use the big-O notation to measure complexity. FREE ACCESS
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7. Getting Started with a New Java Project3m 29sDuring this video, you will learn how to set up a new Java project. FREE ACCESS
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8. Constant Time Complexity10m 29sLearn how to analyze algorithms with a constant time complexity. FREE ACCESS
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9. Linear Time Complexity Algorithms9m 48sIn this video, you will learn how to analyze algorithms with linear time complexity. FREE ACCESS
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10. Additional Algorithms with Linear Time Complexity8m 22sUpon completion of this video, you will be able to recognize more algorithms that have a linear time complexity. FREE ACCESS
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11. Timing Operations with Linear Time Complexity4m 33sIn this video, you will time operations to see how the running time changes based on the size of the input. FREE ACCESS
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12. Simple Algorithms with Linear Time Complexity6m 37sAfter completing this video, you will be able to recognize simple examples from the real world that exhibit linear time complexity. FREE ACCESS
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13. Quadratic Time Complexity6m 29sDuring this video, you will learn how to analyze algorithms with time complexity of O(n^2). FREE ACCESS
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14. Cubic Time Complexity11m 19sIn this video, you will analyze algorithms with time complexity of a cube. FREE ACCESS
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15. Logarithmic Time Complexity9m 58sIn this video, find out how to analyze algorithms with a logarithmic time complexity. FREE ACCESS
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16. Course Summary1m 42s
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