Business Simulation Analysis
The course objective is to familiarize the students with computer-based simulation methodologies and tools used in business settings characterized by uncertainty and variability. The main focus will be on discrete-event, agent-based and Monte Carlo simulations.
The course is mostly held in the form of learning-by-doing.
The course participants will learn how to model various systems, and study the effect on changes and uncertainties on the systems in order to identify bottlenecks and improvement areas. Examples of application areas of simulation include inventory and transportation systems, production environment, investments evaluation, queuing systems etc. The course will focus on modelling and analyzing systems using Discrete Event Simulation, Agent-Based Simulation and Random event generators (Monte-Carlo simulations). The students will exercise on using simulation tools and on interpreting, presenting and animating the results. In addition, the students will learn to design and run various simulation experiments such as optimization, parameter variation and calibration.
This is an excerpt from the complete course description for the course. If you are an active student at BI, you can find the complete course descriptions with information on eg. learning goals, learning process, curriculum and exam at portal.bi.no. We reserve the right to make changes to this description.