Study-unit STATISTICS AND OPERATIONAL RESEARCH

Versione Italiana
Course name Mechanical engineering
Study-unit Code 70A00209
Curriculum Gestionale
Lecturer Giuseppe Saccomandi
CFU 9
Course Regulation Coorte 2021
Supplied 2022/23
Type of study-unit Obbligatorio (Required)
Type of learning activities Attività formativa integrata
Partition

OPERATION RESEARCH

Code 70097005
CFU 5
Lecturer Giuseppe Saccomandi
Lecturers
  • Giuseppe Saccomandi
Hours
  • 45 ore - Giuseppe Saccomandi
Learning activities Base
Area Matematica, informatica e statistica
Sector MAT/09
Type of study-unit Obbligatorio (Required)
Language of instruction Italiano but with on-line lectures on English
Contents Basic Methods of Operation Research
Reference texts https://www.youtube.com/yongwang
Educational objectives The ability to solve some linear optimisation problem with and without software tools.
Prerequisites Calculus
Teaching methods Classical
Other information None
Learning verification modality Oral and written examination
Extended program o Linear Programming
o Simplex Algorithm and Goal Programming
o Sensitivity Analysis and Duality
o Transportation, Assignment, and Transshipment Problems
o Network Models
o Integer Programming
o Nonlinear Programming
o Decision Making under Uncertainty
o Game Theory
o Inventory Theory
o Markov Chains
o Dynamic Programming
o Queuing Theory

STATISTICS

Code 70026681
CFU 4
Lecturer Paolo Carbone
Lecturers
  • Paolo Carbone
Hours
  • 54 ore - Paolo Carbone
Learning activities Affine/integrativa
Area Attività formative affini o integrative
Sector SECS-S/02
Type of study-unit Obbligatorio (Required)
Language of instruction Italian
Contents Introduction to statistics: continuous, discrete and mixed random variables. Probability density functions. Probability distribution functions. Joint random variables.
Reference texts Roy. D. Yates, David J. Goodman, Probability and Stochastic Processes, John Wiley & Sons Inc; 2nd International Edition, 2004.

Handouts by the instructor.
Educational objectives The ability to use basic tools of statistics in the framework of engineering applications.
Prerequisites Nessuno
Teaching methods Classical
Other information None
Learning verification modality Oral and written examination
Extended program Descriptive statistics: measures of location and variation, frequency tables, bar diagrams, histograms, other diagrams and tools for visualisation. Introductory combinatorics and probability theory. Probability distributions: binomial, Poisson, normal, exponential. Engineering applications, selected examples.