Principles of Computing (Part 2)
Master essential computer science concepts including recursion, data structures, and algorithms using Python. Part 2 of fundamental computing principles.
Master essential computer science concepts including recursion, data structures, and algorithms using Python. Part 2 of fundamental computing principles.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Fundamentals of Computing Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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বাংলা, اردو, Tiếng Việt, 3 more
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What you'll learn
Master recursion and recursive data structures
Implement efficient searching and sorting algorithms
Work with stacks, queues, and tree data structures
Develop strategy-based games using Python
Apply assertions and invariants in software modeling
Create efficient solutions for computational problems
Skills you'll gain
This course includes:
5.1 Hours PreRecorded video
1 quiz, 3 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course explores advanced computing principles, focusing on essential concepts in computer science. Students learn about searching algorithms, data structures, recursion, and software modeling. The course emphasizes hands-on learning through weekly mini-projects involving strategy-based games. Topics include tree structures, assertions, invariants, and the mathematical foundations of computation. The curriculum combines theoretical understanding with practical programming experience in Python, preparing students for more advanced algorithmic thinking and problem-solving.
Searching and Data Structures
Module 1 · 5 Hours to complete
Recursion
Module 2 · 3 Hours to complete
Trees
Module 3 · 3 Hours to complete
Modeling, Assertions, and Invariants
Module 4 · 3 Hours to complete
Fee Structure
Instructors
Professor and Researcher
Scott Rixner is a Professor of Computer Science at Rice University, where his research primarily focuses on virtualization, operating systems, and computer architecture. He is particularly interested in memory systems and networking, exploring the intersection of hardware and software to enhance system performance. Rixner has developed Python interpreters for various platforms, including embedded systems and web browsers, and holds 11 patents related to his work, which has been integrated into several open-source projects.In addition to his research, Rixner plays a significant role in curriculum development at Rice University, having chaired committees for both the Department of Computer Science and the School of Engineering. He is also involved in leading the MCS@Rice and MDS@Rice online degree programs. Rixner earned his Ph.D. in Electrical Engineering from MIT in 2001, following a Master’s and Bachelor’s degree in Computer Science and Electrical Engineering from the same institution in 1995.
Innovator in Computer Graphics and Game Design
Joe Warren is a Professor in the Department of Computer Science at Rice University, where he specializes in computer graphics and geometric modeling. He has made significant contributions to the field, authoring the book Subdivision Methods for Geometric Design and publishing extensively on various topics within computer graphics. Warren has a strong passion for computer gaming, both as a player and an educator; he has taught courses on game creation and design for over a decade, collaborating with industry professionals in Houston. An alumnus of Rice University, he completed his undergraduate studies there before earning his Ph.D. from Cornell University in 1986. Since then, he has been a dedicated faculty member at Rice, serving as the Chair of the Department from 2008 to 2013.
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4.8 course rating
362 ratings
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