37798 - Operations Research Lab

Course Unit Page

SDGs

This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.

Quality education Industry, innovation and infrastructure

Academic Year 2021/2022

Learning outcomes

Building the ability to develop a mathematical model of real world situations. Solving the model via market software.

Course contents

  • Linear models
  • Feasibility region and its properties in 2D
  • Integrality constraints
  • Linear relaxation
  • Sensitivity analysis
  • The transportation model
  • Developping real world models
  • Non linearities and removal
  • From logic to algebra
  • Linear approximation of non linear situations
  • Simulation
  • Overbooking

Readings/Bibliography

H.P. Williams, Model Building in mathematical programming, Wiley

Teaching methods

  • Lectures
  • Usage of linear modelling software
  • Usage of simulation instruments

Assessment methods

Examination on site: oral examination with the possibility to show practically, at the computer, the acquired knowledge.

Examination on line: traditional oral examination

Graduation of the votes:

  1. sufficient topic knowledge and modelling capability. Correct language: 18-22
  2. correct topic knowledge and modelling capability, Correct language: 23-26
  3. in deep knowledge of the topics. Ability to criticize. Good modelling capability: 27-29
  4. in deep knowledge of the topic. Ability to criticize and connect. Good modelling capability: 30-30L

Teaching tools

Excel, Lingo

Office hours

See the website of Massimo Spadoni