Algorithms and data structures are the essential frameworks for solving almost any computer engineering problem.
Algorithms and data structures are the essential frameworks for solving almost any computer engineering problem. You need a fundamental grasp of these tools to understand how computers and programming languages work, their relative strengths and weaknesses and what makes a specific solution the best choice.
In this course, you’ll examine, create, compare and test the major types of algorithms and data structures. You’ll learn how to conduct a Big-O analysis to assess the complexity and runtime of your code, and how to understand the tradeoffs of using different algorithms and data structures. You’ll learn to identify different problem-solving approaches and how to forge solutions for optimal performance and efficiency.
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This course presents some fundamental data structures, including lists, stacks, queues, hashes, and binary trees. Students will master a number of algorithms including Mergesort and Quicksort.
This course is designed to give experienced web developers an advanced understanding of algorithmic thinking, the varieties of common data structures and their applications in databases and modern blockchain applications.
This course covers the theory and application of commonly used data structures and related algorithms for maintaining them. Emphasis is placed on efficiency, appropriate use, and the creation of encapsulated, object-oriented data structures.
This is a undergraduate level course in data structures. The course in intended for developing foundations in data structures with a focus on solving problems and building core data structures.
The AP Computer Science Java is a UC and CSU approved college preparatory elective course offered by High Schools.
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