Beginning Java Data Structures and Algorithms

Beginning Java Data Structures and Algorithms
.MP4, AVC, 4500 kbps, 1920×1080 | English, AAC, 317 kbps, 2 Ch | 2h 56m | 5.7 GB
Instructors: James Cutajar, Joao Azevedo, Kristian Secor

Sharpen your problem solving and data organization skills using Java data structures and algorithms

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.

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


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