Description
Algorithms, Part II, continued The first part of the series of training and familiarization with algorithms and data structures is. In this course, important topics that every serious programmer should know about algorithms and data structures with a focus on software and Java implementation scientific performance analysis are taught. The first part of this series covered elementary data structure, classification and search algorithms, and now in this part we cover graph- and string- processing algorithms.
Skills you will learn in the Algorithms, Part II course:
- Graphs
- Data structure
- Algorithms
- Data Compression
Course details:
- Publisher: Coursera
- teacher: Kevin Wayne, Robert Sedgewick
- English language
- Education level: Intermediate
- Number of courses: 66
- Duration: 16 hours and 41 minutes
Course headings
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
Course prerequisites:
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.
Pictures
Sample video
Installation guide
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Subtitle: English and…
Quality: 720p
download link
Password file(s): www.downloadly.ir
Size
2 GB
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