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.
Specification: Beginning Java Data Structures and Algorithms