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 ...

Programming Background: The course involves solving programming assignments in Python. You must be comfortable with Python programming. This includes basic control structures in Python: conditional ...

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 ...

The students are encouraged to think and use their acquired knowledge of algorithms in practical and highly applicable programming exercises. The Dynamic Programming and Optimal Control class focuses ...