Problem Solving Using Computational Thinking
Learn to solve complex problems using computational thinking strategies and real-world case studies.
Course Cost
₹ 2,699
Beginner
Skill Level
10 Hours
Self-paced lessons
Master the art of computational thinking to tackle complex problems effectively. This beginner-friendly course, taught by Chris Quintana, introduces key concepts such as abstraction, decomposition, pattern recognition, and algorithm design. Through real-world case studies in areas like airport surveillance, epidemiology, and human trafficking, you'll learn to apply computational thinking to diverse challenges. Gain practical problem-solving skills applicable across various fields, even without prior programming experience.
What you'll learn
Understand the core concepts of computational thinking
Apply abstraction and decomposition to break down complex problems
Develop pattern recognition skills for identifying trends and similarities
Design algorithms to solve problems systematically
Evaluate and refine solutions using computational thinking principles
Analyze real-world case studies using computational thinking approaches
Develop a disaster response plan using computational thinking strategies
Gain problem-solving skills applicable across various fields and industries
Skills you'll gain
This course includes:
2.6 Hours PreRecorded video
9 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.





There are 5 modules in this course
This course introduces students to computational thinking as a problem-solving approach applicable across various disciplines. The curriculum covers key computational thinking concepts including abstraction, problem identification, decomposition, pattern recognition, algorithm design, and solution evaluation. Through a series of real-world case studies in areas such as airport surveillance, epidemiology, and human trafficking, participants learn to apply these concepts to complex problems. The course emphasizes practical application, with students developing their own solutions to real-world issues. A final project allows learners to demonstrate their mastery of computational thinking in addressing a significant challenge.
Foundations of Computational Thinking
Module 1 · 2 Hours to complete
Case Study: Airport Surveillance and Image Analysis
Module 2 · 2 Hours to complete
Case Study: Epidemiology
Module 3 · 2 Hours to complete
Case Study: Human Trafficking
Module 4 · 1 Hours to complete
Final Project
Module 5 · 2 Hours to complete
Fee Structure
Payment options
Financial Aid
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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.
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.




