This course covers basic algorithm design techniques such as divide and conquer, dynamic programming, and greedy algorithms. It concludes with a brief introduction to intractability (NP ...

View on Coursera Course Description. This course continues our data structures and algorithms specialization by focussing on the use of linear and integer programming formulations for solving ...

Algorithms don’t always involve complicated feats of programming; at heart, they are sequences of steps to move toward a goal—and they are so fundamental that we can easily forget what our ...

Student problem-solvers from 20 universities will have five hours to design algorithms and program them to work at a computer science contest at RIT. RIT is hosting the Northeast North American ...