Matematica | MODELS FOR INFORMATION PROCESSING
Matematica MODELS FOR INFORMATION PROCESSING
cod. 0522200051
MODELS FOR INFORMATION PROCESSING
0522200051 | |
DIPARTIMENTO DI MATEMATICA | |
EQF7 | |
MATHEMATICS | |
2022/2023 |
YEAR OF COURSE 2 | |
YEAR OF DIDACTIC SYSTEM 2018 | |
AUTUMN SEMESTER |
SSD | CFU | HOURS | ACTIVITY | |
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INF/01 | 6 | 48 | LESSONS |
Exam | Date | Session | |
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MODELLI PER IL TRATTAMENTO DELL'INFOMAZI | 12/06/2023 - 09:00 | SESSIONE ORDINARIA | |
MODELLI PER IL TRATTAMENTO DELL'INFORMAZ | 03/07/2023 - 09:00 | SESSIONE ORDINARIA |
Objectives | |
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THE MAIN OBJECTIVE IS TO PROVIDE METHODS TO FORMULATE AND TO ANALYZE MODELS OF DYNAMIC SYSTEMS KNOWLEDGE AND UNDERSTANDING: •METHODS TO FORMULATE MODELS • ANALYSIS OF MODELS •METHODOLOGIES TO INFERENCE APPLYING KNOWLEDGE AND UNDERSTANDING: •TO IDENTIFY APPROPRIATE STRATEGIES TO FORMULATE AND TO ANALYZE MODELS |
Prerequisites | |
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PROBABILITY ESSENTIALS |
Contents | |
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1. CONSTRUCTION AND ANALYSIS OF DETERMINISTIC AND STOCHASTIC MODELS OF DYNAMICS SYSTEMS OF INTEREST IN COMPUTER SCIENCE, BIOMATHEMATICS, CYBERNETIC. 2. DESCRIPTION OF METHODS TO OBTAIN CLOSED-FORM RESULTS AND ANALYSIS OF PROCEDURE AD-HOC TO ANALYZE THE STATISTICAL PROPRIETIES OF THE CONSIDERED MODELS. 3. IDENTIFICATION OF APPROPRIATE METHODS OF INFERENCE FOR STOCHASTIC MODELS |
Teaching Methods | |
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THE TEACHING METHOD INCLUDES THEORETICAL LESSONS INTEGRATED BY EXERCISES AND PROBLEMS, ALL RELATED TO FORMULATE MODELS OF DYNAMIC SYSTEMS THE CLASS ATTENDANCE IS STRONGLY RECOMMENDED. |
Verification of learning | |
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THE EXAM CONSISTS OF AN ORAL TEST. THE VOTE WILL DEPEND ON THE KNOWLEDGE AND ON THE ABILITY TO APPLY THE METHODS TO SOLVE CONCRETE PROBLEMS. |
Texts | |
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- F. FABRISTEORIA DELL’INFORMAZIONE, CODICI, CIFRARI. BOLLATI BORINGHIERI. - S.M. ROSS INTRODUCTION TO PROBABILITY MODELS ACADEMIC PRESS - APPUNTI DELLE LEZIONI |
More Information | |
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SOME UTILITIES AND EDUCATIONAL AIDS ARE AVAILABLE AT HTTP://ELEARNING.INFORMATICA.UNISA.IT/EL-PLATFORM/ THE ATTENDANCE AND REGULAR STUDY IN TERM TIME ARE STRONGLY RECOMMENDED. |
BETA VERSION Data source ESSE3 [Ultima Sincronizzazione: 2023-06-01]