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MODELS AND METHODS FOR DECISION SUPPORT

## OVERVIEW

## AIMS AND CONTENT

### LEARNING OUTCOMES

### AIMS AND LEARNING OUTCOMES

### TEACHING METHODS

### SYLLABUS/CONTENT

### RECOMMENDED READING/BIBLIOGRAPHY

## TEACHERS AND EXAM BOARD

### Exam Board

## LESSONS

### TEACHING METHODS

### Class schedule

## EXAMS

### EXAM DESCRIPTION

### Exam schedule

CODE | 94628 |
---|---|

ACADEMIC YEAR | 2020/2021 |

CREDITS | 5 credits during the 1st year of 10553 ENGINEERING FOR NATURAL RISK MANAGEMENT (LM-26) SAVONA |

SCIENTIFIC DISCIPLINARY SECTOR | MAT/09 |

LANGUAGE | English |

TEACHING LOCATION | SAVONA (ENGINEERING FOR NATURAL RISK MANAGEMENT) |

SEMESTER | 2° Semester |

MODULES | This unit is a module of: |

TEACHING MATERIALS | AULAWEB |

The course presents a set of mathematical models and methods for solving decision problems with a particular reference to natural risk and emergency management. The purpose of this course is to provide the students with competences in using a set of models for problem solving. In particular, the course mainly considers optimization problems faced by mathematical programming techniques and problems on graph and networks.

The course allows acquire knowledge on a set of Operations Research (OR) models and methods (mathematical programming models; integer programming methods; graphs and network models) and problem solving capability by a set of OR techniques (formulation of mathematical programming models and use of mathematical programming algorithms; algorithms for problem solving on graph and networks).

As regards mathematical programming, the main objective is to provide the students with skills for defining the right model to solve a set of decision problems formulating them as optimization problems. In particular, continuous and mixed integer programming algorithms are presented and applied to different cases. Such methods, together with methods for graph and network, represent fundamental optimization tools for their possible applications in natural risk and emergency management.

The course consists of classroom lectures.

The exam consists in a written and/or oral test

Introduction to decisional problems and models.

Optimization problems and optimality conditions.

Basic concepts of non-linear mathematical programming.

The process of problem formulation by means of quantitative models.

Linear programming; graphic formulation and solution of linear programs; the simplex algorithm; duality theory; sensitivity analysis.

Integer programming and combinatorial optimization; the methods of cutting-planes and branch-and-bound.

Graph theory; the shortest paths problem; the minimum spanning tree problem. Network problems; min cost flow and max flow problems.

Some concepts of multi-objective optimization

Basic concepts of the theory of complexity.

Introduction to Operations Research, 9/e

Frederick S Hillier, Stanford University

Gerald J Lieberman, Late of Stanford University

ISBN: 0073376299

McGraw-Hill Higher Education, 2010

Branzei-Dimitrov-Tijs "Models in cooperative game theory", Springer, 2008

Peters H., "Game Theory- A Multileveled Approach". Springer, 2008.

**Office hours:** Students can ask appointments directly contacting the professor by email or phone

ROBERTO SACILE (President)

CHIARA BERSANI

RICCARDO MINCIARDI

MICHELA ROBBA

ADRIANA SACCONE

MASSIMO PAOLUCCI (President Substitute)

MARCELLO SANGUINETI (President Substitute)

The course consists of classroom lectures.

The exam consists in a written and/or oral test

All class schedules are posted on the EasyAcademy portal.

Written exam text and oral exam (optional after passing the written text). The students who want to take the exam must register online and send an email to the professor.

Date | Time | Location | Type | Notes |
---|---|---|---|---|

14/01/2021 | 08:30 | GENOVA | Orale | |

09/02/2021 | 08:30 | GENOVA | Orale | |

07/06/2021 | 09:00 | GENOVA | Orale | |

05/07/2021 | 08:30 | GENOVA | Orale | |

16/09/2021 | 08:30 | GENOVA | Orale |