Algorithmic Thinking (Part 2)
Master advanced algorithmic concepts and techniques in Python, focusing on dynamic programming and real-world data analysis.
Master advanced algorithmic concepts and techniques in Python, focusing on dynamic programming and real-world data analysis.
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.
4.7
(216 ratings)
25,441 already enrolled
Instructors:
English
বাংলা, اردو, Tiếng Việt, 2 more
Powered by
What you'll learn
Master advanced algorithmic techniques including divide-and-conquer
Implement efficient sorting and searching algorithms
Analyze algorithm efficiency using Big-O notation
Apply dynamic programming to solve complex problems
Develop solutions for real-world computational challenges
Understand and implement sequence alignment algorithms
Skills you'll gain
This course includes:
4 Hours PreRecorded video
2 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
Created by
Provided by
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 4 modules in this course
This advanced algorithmic thinking course builds upon fundamental concepts to explore sophisticated algorithmic techniques like divide-and-conquer and dynamic programming. Students learn to analyze and implement algorithms in Python, working with real-world datasets to understand the interaction between algorithms and data structures. The course emphasizes both theoretical understanding and practical application, covering topics from sorting and searching to sequence alignment in computational biology.
Module 3 - Core Materials
Module 1 · 3 Hours to complete
Module 3 - Project and Application
Module 2 · 3 Hours to complete
Module 4 - Core Materials
Module 3 · 1 Hours to complete
Module 4 - Project and Application
Module 4 · 2 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.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
4.7 course rating
216 ratings
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.