Insegnamento a.a. 2017-2018

Knowledge and understanding
At the end of the course student will be able to do:
Understand the issues arising in the solution of large-scale optimization problems, depending on the characteristics of the problem at hand, with particular reference to the theory that underlies the algorithms employed, and to the relationship between the abstract algorithms and their concrete software implementation.

Applying knowledge and understanding
At the end of the course student will be able to do:
Use advanced software tools in the solution of large-scale optimization problems, and choosing, thanks to the conceptual framework that they will have acquired and the practical experience that they will have made, the correct tool for each problem at hand.

• Face-to-face lectures
• In-class exercises
• Theories and/or case studies discussions (in-class or in distance)
• Other interactive class activities (business games, simulations, role playing, use of scientific software, etc.) - specify in the relevant open section of the syllabus

• Written exam(s) with open ended questions