See How It Works for details. This course continues our data structures and algorithms specialization by focussing on the use of linear and integer programming formulations for solving algorithmic ...

It covers basic algorithm design techniques such as divide and conquer, dynamic programming, and greedy algorithms. It concludes with a brief introduction to intractability (NP-completeness) . We will ...

This course is available with permission to General Course students. Introduction to theory of algorithms and basics of Python programming. Algorithmic thinking: Do you know how to multiply integers?

Computers can be used to help solve problems. However, before a problem can be tackled, it must first be understood. Computational thinking helps us to solve problems. Designing, creating and ...

A modern program can be so multi-branch that no one person has all the scenarios in their head. For example, increasingly, hiring is being done by algorithms. And an algorithm that looks at your ...

Whether it's a song that auto-plays on Spotify or a certain type of recommended video on YouTube, many people are fed up with the algorithms that guide our digital choices. Have you gotten a ...

Dynamic programming algorithms are a good place to start understanding what's really going on inside computational biology software. The heart of many well-known programs is a dynamic programming ...