LAB OF DECISION SCIENCE Single channel

Chair (Coordinator) and Rapporteur: LAURA PALAGI

Lecturers

LAURA PALAGI

Objectives

The course aims to provide practical tools necessary to critically evaluate and deal with engineering and economic models numerically.

Learning outcomes

We aim to introduce students to the formulation of prescriptive and predictive mathematical programming problems, the use of standard software to identify optimal solutions, and verification and interpretation of the mathematical model. Use of spreadsheets and/or matlab for solving PL and NLP problems.

Prerequisites

Topics of the course Optimization for Decision Support Systems

Programme

1. Prescriptive Models
i. Mathematical Programming
ii. Linear Programming
2. Parametric predictive models
3. Use of spreadsheet (Excel) or Matlab for simple mathematical programming problems

Books

Teaching notes available on classroom

Lessons mode

in presence

Frequency

in presence

Exam mode

Periodic meetings on the assigned project with simple exercises

Example exam questions

Examples of questions and exercise can be found on classroom

Sustainability goals

  • Goal4
  • Goal12
  • Academic year2026/2027
  • Degree program to which the course belongsMechanical Engineering
  • Lesson codeAAF2435
  • Year and semester1st year - 2nd semester
  • Activity typeUlteriori attività formative (art.10, comma 5, lettera d)
  • Academic areaAltre conoscenze utili per l'inserimento nel mondo del lavoro
  • Mandatory presenceNo
  • Languageeng
  • CFU3 CFU
  • Total duration36 hours
  • Hours distribution36 laboratory hours