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Advanced Algorithms: Greedy Methods & Dynamic Programming
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Advanced Algorithms: Greedy Methods & Dynamic Programming

This course is part of Algorithms Specialization.

Course Cost

Free course

Intermediate

Skill Level

12 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 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.

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4.8

77,814 Enrolled

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English

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olive-leaves-logo

4.8

77,814 Enrolled

olive-leaves-logo

English

What you'll learn

  • Master greedy algorithm design and implementation

  • Implement and analyze minimum spanning tree algorithms

  • Develop efficient dynamic programming solutions

  • Solve complex optimization problems

  • Analyze algorithm correctness and efficiency

Skills you'll gain

Spanning Tree
Algorithms
Dynamic Programming
Greedy Algorithms
MST Implementation
Clustering
Huffman Codes
Knapsack Problem
Sequence Alignment
Algorithm Design

This course includes:

9.3 Hours PreRecorded video

9 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 4 modules in this course

This comprehensive course covers advanced algorithmic techniques focusing on greedy algorithms, minimum spanning trees, and dynamic programming. Students learn through practical applications including scheduling, clustering, Huffman codes, knapsack problems, and sequence alignment. The curriculum provides hands-on experience implementing these algorithms while exploring their theoretical foundations. Through programming assignments and quizzes, learners develop expertise in solving complex computational problems using efficient algorithmic approaches.

Two motivating applications; selected review; introduction to greedy algorithms

Module 1 · 3 Hours to complete

Kruskal's MST algorithm and applications to clustering

Module 2 · 4 Hours to complete

Huffman codes; introduction to dynamic programming

Module 3 · 2 Hours to complete

Advanced dynamic programming

Module 4 · 3 Hours to complete

Fee Structure

Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Algorithms Specialization

Reviews

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Advanced Algorithms: Greedy Methods & Dynamic Programming

Intermediate

Skill Level

12 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.