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Algorithmic Thinking (Part 1)
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Algorithmic Thinking (Part 1)

This course is part of Fundamentals of Computing.

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 Fundamentals of Computing 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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4.6

55,780 Enrolled

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English

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olive-leaves-logo

4.6

55,780 Enrolled

olive-leaves-logo

English

What you'll learn

  • Apply algorithmic thinking to solve computational problems

  • Implement and analyze graph algorithms in Python

  • Evaluate algorithm efficiency using asymptotic analysis

  • Analyze real-world networks using graph theory

  • Develop efficient solutions for complex computational tasks

Skills you'll gain

Graph Theory
Algorithm Analysis
Python Programming
Big O Notation
Breadth-First Search
Asymptotic Analysis
Citation Graph Analysis
Network Resilience
Computer Networks
Data Structure

This course includes:

4.78 Hours PreRecorded video

2 assignments

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 focuses on developing algorithmic thinking skills through graph theory and algorithm analysis. Students learn to implement and analyze graph algorithms in Python, working with real-world datasets including citation graphs and computer networks. The curriculum covers fundamental concepts like algorithmic efficiency, asymptotic analysis, breadth-first search, and connected components, emphasizing the interaction between algorithms and data structures.

Module 1 - Core Materials

Module 1 · 3 Hours to complete

Modules 1 - Project and Application

Module 2 · 3 Hours to complete

Module 2 - Core Materials

Module 3 · 2 Hours to complete

Module 2 - Project and Application

Module 4 · 2 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: Fundamentals of Computing

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.

Algorithmic Thinking (Part 1)

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.