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Fundamentals of Computing Specialization
Prepare for Advanced Computer Science Courses. Learn how to program and think like a Computer Scientist
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About this Specialization
This Specialization covers much of the material that first-year Computer Science students take at Rice University, brought to you by the world-class Faculty who teach our master’s and Ph.D. programs. Students learn sophisticated programming skills in Python from the ground up and apply these skills in building more than 20 fun projects. The Specialization concludes with a Capstone exam allowing the students to demonstrate the range of knowledge they have acquired in the Specialization.
Skills you will gain:
▹ Recursion ▹ Algorithms ▹ Python Programming ▹ Dynamic Programming ▹ Programming Principles ▹ Python Syntax And Semantics ▹ Computer Programming ▹ Logic Programming ▹ Object-Oriented Programming (OOP) ▹ Combinatorics ▹ Tree (Data Structure) ▹ Graph Theory
How the Specialization Works
Take Courses
A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you’d like to start with.
Hands-on Project
Every Specialization includes a hands-on project. You’ll need to successfully finish the project(s) to complete the Specialization and earn your certificate.
Earn a Certificate
When you finish every course and complete the hands-on project, you’ll earn a Certificate that you can share with prospective employers and your professional network.
There are 6 Courses in this Specialization
COURSE 01
An Introduction to Interactive Programming in Python (Part 1)
This two-part course is designed to help students with very little or no computing background learn the basics of building simple interactive applications.
COURSE 02
An Introduction to Interactive Programming in Python (Part 2)
This two-part course is designed to help students with very little or no computing background learn the basics of building simple interactive applications.
COURSE 03
Principles of Computing (Part 1)
This two-part course builds upon the programming skills that you learned in our Introduction to Interactive Programming in Python course.
COURSE 04
Principles of Computing (Part 2)
This two-part course introduces the basic mathematical and programming principles that underlie much of Computer Science.
COURSE 05
Algorithmic Thinking (Part 1)
Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language.
COURSE 06
Algorithmic Thinking (Part 2)
Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language.
Instructors
John Greiner
Lecturer
Scott Rixner
Professor
Luay Nakhleh
Associate Professor
Stephen Wong
Lecturer
Joe Warren
Professor
Start Learning Today
Financial aid available
- Shareable Specialization and Course Certificates
- Self-Paced Learning Option
- Course Videos & Readings
- Practice Quizzes
- Graded Assignments with Peer Feedback
- Graded Quizzes with Feedback
- Graded Programming Assignments
Shareable on
You can share your Course Certificates in the Certifications section of your LinkedIn profile, on printed resumes, CVs, or other documents.
Frequently Ask Questions
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
The Specialization is designed to be completed in 6-9 months.
Knowledge of high school mathematics is required. No previous programming knowledge is required.
We strongly encourage students to take the courses in the Specialization in the listed order. Each class builds on the previous classes.
You will be able to analyze a range of interesting application problems and write moderate-size Python programs (300-500 lines) that solve these problems.
This Specialization is based on the freshman Computer Science curriculum at one of the top-ranked universities in the world. The material is designed to be fun and challenging while helping you gain the skills necessary to be successful in advanced Computer Science classes.
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