Data Structures and Algorithms is the foundation of many other areas of computer science, as well as a requirement for many Computer Science-related jobs. Common sub topics include: Linked Lists, Stack and Queues, Trees, Hash Tables, Sorting and Search Algorithms etc.
Students must be proficient in Computer Programming to study Data Structures and Algorithms.
UC Berkeley
Fall 2022
CS 61B focuses on software efficiency from design and runtime perspectives. It covers object-oriented programming with Java, teaching data structures and various programming concepts. The course promotes hands-on learning with optional assignments.
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+ 55 more conceptsPrinceton University
Spring 2023
This course surveys crucial algorithms and data structures used in modern computing, with emphasis on sorting, searching, graphs, and strings. It aims to develop implementations, understand their performance, and evaluate their effectiveness.
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+ 25 more conceptsStanford University
Spring 2022
Focused on the design, analysis, and implementation of data structures, this course assumes familiarity with the command-line, designing, testing, and debugging nontrivial programs, among others. It explores some of the most fascinating constructs in data structures.
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Stanford University
Winter 2023
This course provides an in-depth exploration of algorithm analysis and design. It covers various sorting, searching, and selection algorithms, data structures, and fundamental graph algorithms. It emphasizes the understanding of worst and average case analysis, recurrences, and asymptotics.
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+ 30 more conceptsUC Berkeley
Spring 2020
This is an introductory course to computer science theory, exploring the design and analysis of various algorithms, number theory, and complexity. The prerequisites include familiarity with mathematical induction, big-O notation, basic data structures, and programming in a standard language.
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+ 36 more concepts