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 will learn how to develop your Critical Thinking Skills to help you achieve success in your university studies. After completing this course, you will be able to: 1. Use... more
In this guided project we will learn about cross-functional work management and RACI charts. We will use Asana managing tasks, subtasks and assignees to implement RACI charts and practices in work... more
This course teaches you to harness AI-powered tools for code generation, focusing on SQL, Python, and R for data analysis tasks. The target learner for this course is a seasoned data professional... more
Popularized by movies such as \"A Beautiful Mind\", game theory is the mathematical modeling of strategic interaction among rational (and irrational) agents. Over four weeks of lectures, this... more
Acute stroke is a time-dependent medical emergency. In acute ischemic stroke, the first objective is to restore brain flow using sistemic thrombolytic treatment and, in patients with large vessel... more
Powered by
