Tags: Algorithms, Computer Science, Divide And Conquer Algorithms, Dynamic Programming, Greedy Algorithm
This course is part of the Data Structures and Algorithms Specialization
Algorithmic Toolbox
Offered By
University of California San Diego
National Research University Higher School of Economics
About this Course
The course covers basic algorithmic techniques and ideas for computational problems arising frequently in practical applications: sorting and searching, divide and conquer, greedy algorithms, dynamic programming. We will learn a lot of theory: how to sort data and how it helps for searching; how to break a large problem into pieces and solve them recursively; when it makes sense to proceed greedily; how dynamic programming is used in genomic studies. You will practice solving computational problems, designing new algorithms, and implementing solutions efficiently (so that they run in less than a second).
Course 1 of 6 in the
Data Structures and Algorithms Specialization
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Intermediate Level
Approx. 32 hours to complete
Suggested: 5 weeks of study, 4-8 hours/week
English
Size: 911.97M
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Data Structures and Algorithms Specialization
1. Algorithmic Toolbox
2. Data Structures – (unavailable)
3. Algorithms on Graphs
4. Algorithms on Strings – (unavailable)
5. Advanced Algorithms and Complexity
6. Genome Assembly Programming Challenge (unavailable)
Would you please upload these three courses to complete the series ?
Thank you
Data Structures and Algorithms Specialization
1. Algorithmic Toolbox
2. Data Structures (unavailable)
3. Algorithms on Graphs
4. Algorithms on Strings
5. Advanced Algorithms and Complexity
6. Genome Assembly Programming Challenge (unavailable)
Thanks
Data Structures and Algorithms Specialization
1. Algorithmic Toolbox
2. Data Structures – (unavailable)
3. Algorithms on Graphs
4. Algorithms on Strings – (unavailable)
5. Advanced Algorithms and Complexity
6. Genome Assembly Programming Challenge (unavailable)
Would you please upload these three courses to complete the series ?
Thank you
Thank you thank you.I want this whole series of this course.thank you thank you thank you