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 ...

Beyond these visible applications, algorithms and data analysis optimize transportation. Programming underpins nearly every aspect of modern life, often operating quietly behind the scenes.

Ordinary programming algorithms tell the computer what to do in a straightforward way. For example, sorting algorithms turn unordered data into data ordered by some criteria, often the numeric or ...

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 ...

The flip side of getting bogged down in programming theory is ignoring the theoretical side of a data structure or algorithm. Code written this way might run smoothly on the test data but get ...

Advanced study in models of computation, programming languages and algorithms with a specific focus on concurrent programming. The course includes models of computation, programming language paradigms ...