Scuola di Ingegneria Industriale
Syllabus
Academic Year 2018/19 First Semester

Learning Objectives
The course aims to provide the theoretical foundations and the main technical solutions for Operational Research. In particular, Linear Programming, Full Linear Programming and Theory of Games are dealt with.
At the end of the course, the student will be able to apply optimization methods to economicorganizational decisionmaking problems such as production planning, resource allocation, and the distribution of resources (using appropriate IT tools).
Learning targets
The course aims to provide the theoretical foundations and the main technical solutions for Operational Research. In particular, Linear Programming, Full Linear Programming and Theory of Games are dealt with.
At the end of the course, it is assumed that the student will be able to apply optimization methods to economicorganizational decisionmaking problems such as production planning, resource allocation, and the distribution of resources (using appropriate IT tools).
Course Content
The course is structured in the following parts:
Course Delivery
The course includes:
Course Evaluation
Evaluation is based on different assignments, written test and practical solution of given problems.
Syllabus
Session 101 Hours of lesson: 3 Instructor: C. Rossignoli  Topics: Linear programming Readings: 
Session 102 Hours of lesson: 3 Instructor: C. Rossignoli  Topics: Graphical (geometric) LP solution Readings: 
Session 103 Hours of lesson: 3 Instructor: C. Rossignoli  Topics: The Simplex Method and Sensitivity Analysis. Readings: 
Session 104 Hours of lesson: 3 Instructor: C. Rossignoli  Topics: Duality Readings: 
Session 105 Hours of lesson: 3 Instructor: C. Rossignoli  Topics: Game Theory  Noncooperative games Readings: 
Session 106 Hours of lesson: 3 Instructor: C. Rossignoli  Topics: Game Theory  Equilibrium Readings: 
Session 107 Hours of lesson: 3 Instructor: C. Rossignoli  Topics: Game Theory  MIxed Strategy Readings: 
Session 108 Hours of lesson: 3 Instructor: C. Rossignoli  Topics: Game Theory  Extensive Form Readings: 
Session 201 Hours of lesson: 4 Instructor: G. Buonanno  Topics: Spreadsheets (Microsoft Excel) for Modeling and Solving Linear Programming Problems Readings: 
Session 202 Hours of lesson: 4 Instructor: G. Buonanno  Topics: Use of spreadsheets to model and solve transport and assignment problems. Readings: 
Session 203 Hours of lesson: 4 Instructor: G. Buonanno  Topics: Use of spreadsheets to model and solve network flow problems Readings: 
Session 204 Hours of lesson: 4 Instructor: G. Buonanno  Topics: Use of spreadsheets to model and solve Linear Programming problems and to perform an effective sensitivity analysis. Readings: 
Session 205 Hours of lesson: 4 Instructor: G. Buonanno  Topics: Use of spreadsheets to model and solve Integer Programming problems. Readings: 
Session 206 Hours of lesson: 4 Instructor: G. Buonanno  Topics: Use of spreadsheets to model and solve NonLinear Programming problems. Readings: 
Session 207 Hours of lesson: 4 Instructor: G. Buonanno  Topics: Use of spreadsheets to solve (medium complexity) practical cases. Readings: 
Session 401 Hours of lesson: 4 Instructor: G. Buonanno  Topics: Possible tutoring session with solution of exercises and practical problems. Readings: 
Session 402 Hours of lesson: 4 Instructor: G. Buonanno  Topics: Possible tutoring session with solution of exercises and practical problems. Readings: 