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.
Models, algorithms, recurrences, summations, growth rates. Probabilistic tools, upper and lower bounds; worst-case and average-case analysis, amortized analysis, dynamization. Comparison-based algorithms: search, selection, sorting, hashing. Information extraction algorithms (graphs, databases).
Exploration of the design and implementation of data structures and algorithms fundamental to computer systems and applications and to software engineering.
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.
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 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.
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