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About the Capstone

While most specializations on Coursera conclude with a project-based course, students in the “Fundamentals of Computing” specialization have completed more than 20+ projects during the first six courses of the specialization. Given that much of the material in these courses is reused from session to session, our goal in this capstone class is to provide a conclusion to the specialization that allows each student an opportunity to demonstrate their individual mastery of the material in the specialization.

With this objective in mind, the focus in this Capstone class will be an exam whose questions are updated periodically. This approach is designed to help insure that each student is solving the exam problems on his/her own without outside help. For students that have done their own work, we do not anticipate that the exam will be particularly hard. However, those students who have relied too heavily on outside help in previous classes may have a difficult time. We believe that this approach will increase the value of the Certificate for this specialization.

You can only access this Capstone after completing the courses in the Specialization.

Professor Information

Picture of Dr. Joe Warren

Dr. Joe Warren

Joe Warren is a Professor in the Department of Computer Science at Rice University. His main area of research interest is computer graphics and geometric modeling, where he has published extensively. He is the author of the book Subdivision Methods

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Picture of Dr. Scott Rixner

Dr. Scott Rixner

Scott Rixner is an Associate Professor of Computer Science at Rice University. His research focuses on systems software and computer architecture. He is well versed in the internals of the Python programming language, as he is currently developing a light-weight

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Picture of Dr. Luay Nakhleh

Dr. Luay Nakhleh

Luay Nakhleh received a BSc degree in Computer Science from the Technion (Israel) in 1996, a Master’s degree in Computer Science from Texas A&M University in 1998, and a PhD degree in Computer Science from UT Austin in May 2004

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