Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language. This two-part course builds on the principles that you learned in our Principles of Computing course and is designed to train students in the mathematical concepts and process of "Algorithmic Thinking", allowing them to build simpler, more efficient solutions to real-world computational problems.
Algorithmic Thinking (Part 1)
Algorithmic Thinking (Part 1)
This course is part of Fundamentals of Computing Specialization
Instructors: Luay Nakhleh
51,718 already enrolled
Course
Gain insight into a topic and learn the fundamentals
4.6
(356 reviews)
Intermediate level
No previous experience necessary
12 hours (approximately)
Flexible schedule
Learn at your own pace
Skills you'll gain
- Category: Graph Theory
- Category: Algorithms
- Category: Python Programming
- Category: Graph Algorithms
Details to know
Shareable Certificate
Add to your LinkedIn profile
Quizzes and assessments
0 quizzes, 2 assessments
English
Subtitles: Arabic, French,
Course
Gain insight into a topic and learn the fundamentals
4.6
(356 reviews)
Intermediate level
No previous experience necessary
12 hours (approximately)
Flexible schedule
Learn at your own pace
Build your subject-matter expertise
This course is part of the Fundamentals of Computing Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course
What is Algorithmic Thinking?, class structure, graphs, brute-force algorithms
What's included
15 videos2 readings
Graph representations, plotting, analysis of citation graphs
Asymptotic analysis, "big O" notation, pseudocode, breadth-first search
What's included
9 videos
Connected components, graph resilience, and analysis of computer networks
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4.6
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Recommended if you're interested in Computer Science
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Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
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