Algorithms and data structures are the essential frameworks for solving almost any computer engineering problem.
DurationAlgorithms 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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In this course, we consider the common data structures that are used in various computational problems. You will learn how these data structures are implemented in different programming languages and will practice implementing them in our programming assignments.
The AP Computer Science Java is a UC and CSU approved college preparatory elective course offered by High Schools.
This course covers data structures, recursion, analysis, sorting and searching (sequential and binary), tree and tree algorithms, graphs and graph algorithms, as related to organizational problem solving across industries.
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.
Survey of advanced algorithms and data structures such as heaps and heapsort, quicksort, red-black trees, B-trees, hash tables, graph algorithms, divide and conquer algorithms, dynamic programming, and greedy algorithms. Methods for proving correctness and asymptotic analysis.
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