Algorithms, Part II
Created by: Robert Sedgewick
Course Description
Instructor Details
- 5.0 Rating
140 Reviews
Robert Sedgewick
Robert Sedgewick is the William O. Baker Professor of Computer Science at Princeton, where he was the founding chair of the Department of Computer Science. He received the Ph.D. degree from Stanford University, in 1975. Prof. Sedgewick also served on the faculty at Brown University and has held visiting research positions at Xerox PARC, Palo Alto, CA, Institute for Defense Analyses, Princeton, NJ, and INRIA, Rocquencourt, France. He is a member of the board of directors of Adobe Systems. Prof. Sedgewick's interests are in analytic combinatorics, algorithm design, the scientific analysis of algorithms, curriculum development, and innovations in the dissemination of knowledge. He has published widely in these areas and is the author of several books.
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Reviews
By Sam T on 10-Nov-19
Excellent and challenging course. The assignments were tough but enriching. Worth every bit of time.
By Jack on 29-Oct-19
Great course, a little fast paced, and more advanced than the first. But you'll get high quality animations of the graph and string algorithms and fun assignments that will make you better at Java. Maybe the best explanation of radix sorting I've ever seen. The optional last week of the course introduces linear programming, reductions, and intractability which serve as motivational primers for further study. My only gripe is wanting more assignments, maybe one for each lecture, but 5 are likely enough for most people.
By Potter on 26-Sep-19
After learning this course, I found I was never learnt to write a meaningful program before. You let me to think in different way with a more broaden horizon. Thank you all !
By Michaelbear on 20-Sep-19
This is a wonderful class which walks you through the every basic and crucial concepts of the algorithms and data structure. Really helpful! I'd recommend this course to anyone who wants to have a profound understanding of computer science.
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Quality Score
Overall Score : 100 / 100





