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.
DurationIn 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.
At UC San Diego Division of Extended Studies, we believe great social and economic prosperity comes from integrating the collective knowledge of the university, community leaders and professionals. Division of Extended Studies strives to combine local impact with national reputation and global reach.
Systematic study of data structures encountered in computing problems, methods of representing structured data, and techniques for operating on data structures.Â
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 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 covers and relates fundamental components of programs. Students use various data structures to solve computational problems, and implement data structures using a high-level programming language.
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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