Algorithms
About this Specialization
Algorithms are the heart of computer science, and the subject has countless practical applications as well as intellectual depth. This specialization is an introduction to algorithms for learners with at least a little programming experience. The specialization is rigorous but emphasizes the big picture and conceptual understanding over low-level implementation and mathematical details. After completing this specialization, you will be well-positioned to ace your technical interviews and speak fluently about algorithms with other programmers and computer scientists.\\n\\nAbout the instructor: Tim Roughgarden has been a professor in the Computer Science Department at Stanford University since 2004. He has taught and published extensively on the subject of algorithms and their applications.Created by: Stanford University
Related Online Courses
In this course, you\'ll walk through installation steps for installing a text editor, installing MAMP or XAMPP (or equivalent) and creating a MySql Database. You\'ll learn about single table... more
This specialization is intended for aspiring blockchain enthusiasts, developers, security professionals, and decision makers. After completing this specialization, learners will understand advanced... more
Cybersecurity is essential for everyone who uses information or communications technologies. Whether it is a computer, tablet, or smartphone, if it is connected to a network, learn about the... more
Like most subjects, practice makes perfect in Data Science. In the capstone project, you will apply the skills learned across courses in the Practical Data Science with MATLAB specialization to... more
This Guided Project \"Python for Beginners: Variables and Strings\" is for individuals who are new to programming and want to learn the basics of Python. In this 2-hour long project-based course,... more
Powered by
