LAB OF DECISION SCIENCE

Course objectives

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

Channel 1
LAURA PALAGI Lecturers' profile

Program - Frequency - Exams

Course program
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
Prerequisites
Topics of the course Optimization for Decision Support Systems
Books
Teaching notes available on classroom
Frequency
in presence
Exam mode
Periodic meetings on the assigned project with simple exercises
Lesson mode
in presence
LAURA PALAGI Lecturers' profile

Program - Frequency - Exams

Course program
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
Prerequisites
Topics of the course Optimization for Decision Support Systems
Books
Teaching notes available on classroom
Frequency
in presence
Exam mode
Periodic meetings on the assigned project with simple exercises
Lesson mode
in presence
  • Lesson codeAAF2435
  • Academic year2025/2026
  • CourseMechanical Engineering
  • CurriculumMeccatronica
  • Year1st year
  • Semester2nd semester
  • CFU3