Study-unit STATISTICS AND OPERATIONAL RESEARCH
Course name | Mechanical engineering |
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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 |
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CFU | 5 |
Lecturer | Giuseppe Saccomandi |
Lecturers |
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Hours |
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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 |
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CFU | 4 |
Lecturer | Paolo Carbone |
Lecturers |
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Hours |
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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. |