The Discrete Optimization MOOC: An Exploration in Discovery-Based Learning

This special issue of the eLearning Papers is based on the contributions made to the EMOOCS 2014 conference jointly organized by the École Polytechnique Fédérale de Lausanne (EPFL) and P.A.U. Education. Download Print Version.
The Discrete Optimization MOOC: An Exploration in Discovery-Based Learning
By Carleton Coffrin, Pascal Van Hentenryck. The practice of discrete optimization involves modeling and solving complex problems which have never been encountered before and for which no universal computational paradigm exists.
Teaching such skills is challenging: students must learn not only the core technical skills, but also an ability to think creatively in order to select and adapt a paradigm to solve the problem at hand. More...