Algorithms, Part II offered by Princeton University
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500 acre campus- Estd. 1746
Algorithms, Part II at Princeton University Overview
Algorithms, Part II
at Princeton University
Advanced Algorithmic Techniques Unveiled: Part 2 - Delving Deeper into Complexity, Optimization, and Cutting-Edge Strategies for Computational Excellence.
Duration | 62 hours |
Mode of learning | Online |
Schedule type | Self paced |
Difficulty level | Intermediate |
Official Website | Go to Website  |
Course Level | UG Certificate |
Algorithms, Part II at Princeton University Highlights
Algorithms, Part II
at Princeton University
- Interactive learning through real life examples
- Doubt support Sessions Available
Algorithms, Part II at Princeton University Course details
Algorithms, Part II
at Princeton University
Skills you will learn
More about this course
- This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations.
- Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms.
- While this course was originally designed for first- and second-year undergraduates, it is appropriate not only for college students but also for professionals. Two-thirds of our learners are college graduates working in industry
Algorithms, Part II at Princeton University Curriculum
Algorithms, Part II
at Princeton University
Introduction
Undirected Graphs
Directed Graphs
Minimum Spanning Trees
Shortest Paths
Maximum Flow and Minimum Cut
Radix sorts
Tries
Substring Search
Regular Expressions
Algorithms, Part II at Princeton University Faculty details
Algorithms, Part II
at Princeton University
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.
Kevin Wayne
Kevin Wayne is the Phillip Y. Goldman Senior Lecturer in Computer Science at Princeton University, where he has been teaching since 1998. He received a Ph.D. in operations research and industrial engineering from Cornell University.
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Algorithms, Part II
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