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Learner Reviews & Feedback for Algorithms for Searching, Sorting, and Indexing by University of Colorado Boulder

4.7
stars
354 ratings

About the Course

This course covers basics of algorithm design and analysis, as well as algorithms for sorting arrays, data structures such as priority queues, hash functions, and applications such as Bloom filters. Algorithms for Searching, Sorting, and Indexing can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder....

Top reviews

SS

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It's really good, did struggle with the coding coursework, but I got it at the end.

SK

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Well laid out course which is both concise and has elaborate assignments which help in learning the concepts well. Many thanks to the professor for his effort.

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101 - 102 of 102 Reviews for Algorithms for Searching, Sorting, and Indexing

By Rohan M

•

May 29, 2024

its too old and not that good

By Vedant s

•

Sep 6, 2024

too difficult to understand