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Dynamic Programming, Greedy Algorithms
Master advanced algorithm design techniques including dynamic programming and greedy algorithms. Perfect for computer science professionals.
Course Cost
Free course
Advanced
Skill Level
35 Hours
Self-paced lessons
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Foundations of Data Structures and Algorithms Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
25,270 Enrolled
English
What you'll learn
Create efficient divide and conquer algorithms
Implement dynamic programming solutions
Design effective greedy algorithms
Analyze algorithm complexity and performance
Solve complex computational problems
Understand P vs NP and intractability concepts
Skills you'll gain
This course includes:
13.1 Hours PreRecorded video
17 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course delves into fundamental algorithm design techniques, focusing on divide and conquer, dynamic programming, and greedy algorithms. Students learn to create efficient solutions for complex computational problems, understand algorithm analysis, and explore intractability through NP-completeness. The course combines theoretical concepts with practical Python programming, preparing learners for advanced computer science applications and algorithm optimization.
Divide and Conquer Algorithms
Module 1 · 11 Hours to complete
Dynamic Programming Algorithms
Module 2 · 8 Hours to complete
Greedy Algorithms
Module 3 · 6 Hours to complete
Intractability and Supplement on Quantum Computing
Module 4 · 10 Hours to complete
Fee Structure
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Faculties
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Frequently asked Questions
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