The Data Structures & Algorithms course begins with a review of some important Java techniques and nuances in programming. The course requires some prior knowledge of Java and object-oriented programming, but not in data structures or algorithms.
DurationThe Data Structures & Algorithms course begins with a review of some important Java techniques and nuances in programming. The course requires some prior knowledge of Java and object-oriented programming, but not in data structures or algorithms.
You’ll be introduced to time complexity and threads this concept throughout all data structures and algorithms presented in the course, and you will work with the principles of data storage in Arrays and LinkedList nodes. In addition, you will program the low-level data structures – Singly, Circular, and Doubly LinkedLists – and explore edge cases and efficiency.
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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.
Systematic study of data structures encountered in computing problems, methods of representing structured data, and techniques for operating on data structures.Â
The AP Computer Science Java is a UC and CSU approved college preparatory elective course offered by High Schools.
The analysis and design of computer algorithms and their underlying data structures. Analysis of the timing and efficiency of algorithms. Study of lists, stacks, queues, trees, backtracking, searching, sorting and recursion.
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.
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