Coursera – Algorithms, Part II 2021-2

Description

Algorithms, Part II, is a continuation of the first part of the series of training and familiarity with algorithms and data structures. This course teaches the important topics that any serious programmer should know about algorithms and data structures with a focus on software and analysis of Java executable scientific performance. The first part of this set covered the basic data structure, classification, and search algorithms, and now in this part we cover the graph- and string- processing algorithms.

Skills you will learn in Algorithms, Part II

Graphs

Data Structure

Algorithms

Data Compression

Course information

Publisher: Coursera

Instructor: Kevin Wayne, Robert Sedgewick

English language

Level of education: Intermediate

Number of lessons: 66

Duration: 16 hours and 41 minutes

Topics

Week 1

Introduction 9m

Undirected Graphs 98m

Directed Graphs 68m

Week 2

Minimum Spanning Trees 85m

Shortest Paths 85m

Week 3

Maximum Flow and Minimum Cut 72m

Radix Sorts 85m

Week 4

Tries 75m

Substring Search 75m

Week 5

Regular Expressions 83m

Data Compression 80m

Week 6

Reductions 40m

Linear Programming (optional) 61m

Intractability 85m

Prerequisite

Our central thesis is that algorithms are best understood by implementing and testing them. Our use of Java is essentially expository, and we shy away from exotic language features, so we expect you would be able to adapt our code to your favorite language. However, we require that you submit the programming assignments in Java.

Installation

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Subtitle: English and.

Quality: 720p