First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Science
Course unit
SC05107364, A.A. 2019/20

Information concerning the students who enrolled in A.Y. 2019/20

Information on the course unit
Degree course Second cycle degree in
SC1172, Degree course structure A.Y. 2011/12, A.Y. 2019/20
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Degree course track GENERALE [010PD]
Number of ECTS credits allocated 8.0
Type of assessment Mark
Course unit English denomination OPERATIONS RESEARCH
Website of the academic structure
Department of reference Department of Mathematics
Mandatory attendance No
Language of instruction Italian
Single Course unit The Course unit can be attended under the option Single Course unit attendance
Optional Course unit The Course unit can be chosen as Optional Course unit

Teacher in charge CARLA DE FRANCESCO MAT/09
Other lecturers LUIGI DE GIOVANNI MAT/09

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Educational activities in elective or integrative disciplines MAT/09 Operational Research 4.0
Core courses MAT/09 Operational Research 4.0

Course unit organization
Period First semester
Year 1st Year
Teaching method frontal

Type of hours Credits Teaching
Hours of
Individual study
Laboratory 2.0 16 34.0 No turn
Lecture 6.0 48 102.0 No turn

Start of activities 30/09/2019
End of activities 18/01/2020
Show course schedule 2019/20 Reg.2011 course timetable

Examination board
Examination board not defined

Prerequisites: Basic knowledge in linear programming theory
Target skills and knowledge: Learning:

- how to build and use mathematical models for decision support
- how to use software tools for optimization
Assessment criteria: The student has to prove his/her understanding of the theoretical results and the algorithms presented in the course, and his/her capability to solve exercises.
Course unit contents: - Basics of linear programming
- Integer linear programming models
- Methods for integer linear programming
(branch-and-bound, cutting planes, column generation)
- Totally unimodular matrices.
- Nonlinear programming models
- Methods for nonlinear programming
- Software tools for optimization
Planned learning activities and teaching methods: - Lessons, including exercises
- Lab lessons
Additional notes about suggested reading: - Notes written by the lecturer
- Books:
M. Fischetti, Lezioni di Ricerca Operativa, Edizioni Libreria Progetto.
L. Grippo, M. Sciandrone, Metodi di ottimizzazione per la programmazione non vincolata, Springer.
Textbooks (and optional supplementary readings)