- Docente: Roberto Baldacci
- Credits: 6
- SSD: MAT/09
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Cesena
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Corso:
First cycle degree programme (L) in
Biomedical Engineering (cod. 9082)
Also valid for First cycle degree programme (L) in Electronics Engineering for Energy and Information (cod. 8767)
Learning outcomes
The student will be capable of defining logic and mathematical model of optimization and decision problems by using mathematical programming and graph theory. Can analyze the complexity of computational problems and characterize their difficulty. Can define also using computer codes and software the solution of some classes of problems. Can write technical reports.
Course contents
Optimization and decision models. Mathematical Models of optimization problems. Algorithms and computational complexity. Fundamental data structures for optimization problems. Assignment, covering and facility location problems. Heuristics algorithms. Integer programming models and solution through professional solvers.
Readings/Bibliography
Slides of the lectures
Teaching methods
Frontal lectures, exercises and some labs exercises
Assessment methods
The assessment of learning is based on a oral and a written examination, each covering the whole course.
Teaching tools
Public domain solvers
Office hours
See the website of Roberto Baldacci
SDGs
This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.