The Fundamentals of Computing Capstone Exam

  • Course StartSelf-paced
  • Course Duration1 week
  • Workload4 hours per week
  • Credit OfferedCertificate Available
  • TuitionSubscription

Demonstrate your mastery of the material in the specialization.

Course Description

Part of the Fundamentals of Computing specialization.

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.

Lecture Samples

Contact

Any questions? Please e-mail RiceOnline.rice.edu

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 for Geometric Design. He also has a love for computer gaming, both playing games and […]

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Picture of Dr. Scott Rixner

Dr. Scott Rixner

Scott Rixner is a Professor of Computer Science at Rice University. His research spans virtualization, operating systems, and computer architecture, with a specific focus on memory systems and networking. He is well versed in the internals of the Python programming language, as he has developed Python interpreters for both embedded systems and web browsers. He […]

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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 (Advisor: Prof. Tandy Warnow). While at UT Austin, he received the Outstanding Doctoral Dissertation Award, […]

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