How can we use computers to design systems and, more generally, make decisions, in the face of complexity and uncertainty?
Simulation techniques apply the power of the computer to study complex stochastic systems when analytical or numerical techniques do not suffice. It is the most frequently used methodology for the design and evaluation of computer, telecommunication, manufacturing, healthcare, financial, and transportation systems, to name just a few application areas. Simulation is an interdisciplinary subject, incorporating ideas and techniques from computer science, probability, statistics, optimization, and number theory. Simulation models, which embody deep domain expertise, can effectively complement machine-learning approaches.
This course will provide a hands-on introduction into this fascinating and useful subject.
All information about the course can be found on the course Moodle page. You must be registered for the course to obtain access.
Last modified 28 September 2021