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didattica:magistrale:dcc:ay_2021:main [2020/09/28 18:41] emanuela [General Info] |
didattica:magistrale:dcc:ay_2021:main [2020/09/29 10:18] (current) emanuela [Course Objectives] |
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| D1 - KNOWLEDGE AND UNDERSTANDING | D1 - KNOWLEDGE AND UNDERSTANDING | ||
| At the end of the course, the student should know and understand: | At the end of the course, the student should know and understand: | ||
| - | - the issues related to the modelling of a complex system | + | - issues relevant to the modelling of a complex system |
| - the concept of entanglement between structure and behaviour | - the concept of entanglement between structure and behaviour | ||
| - | - the issues related to the dynamics of a complex system | + | - issues related to the dynamics of a complex system |
| - the role of entropy for detecting the state of a complex system | - the role of entropy for detecting the state of a complex system | ||
| - the concept of emerging behaviour | - the concept of emerging behaviour | ||
| - the differences among models and languages | - the differences among models and languages | ||
| - the three formal aspects of a complex system: computation, coordination and adaptation | - the three formal aspects of a complex system: computation, coordination and adaptation | ||
| - | - the automata-based modelling and regular languages (FSMs) | + | - the automata-based modelling and forma languages (FSMs) |
| - the process-based modelling and algebraic languages (CCS) | - the process-based modelling and algebraic languages (CCS) | ||
| - | - the agent-based modelling and coordination languages (Klaim) | + | - the agent-based modelling and coordination languages (Klaim, Linda) |
| D2 - APPLYING KNOWLEDGE AND UNDERSTANDING | D2 - APPLYING KNOWLEDGE AND UNDERSTANDING | ||
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| - Models and languages for distributed Calculus: process algebraic calculi, rule-based (CHAM), membrane-based (P-Systems). | - Models and languages for distributed Calculus: process algebraic calculi, rule-based (CHAM), membrane-based (P-Systems). | ||
| - Coordination models and languages: Linda, Klaim | - Coordination models and languages: Linda, Klaim | ||
| - | - Concurrent Programming paradigms: Agent-oriented, Actor-based. | + | - Concurrent Programming paradigms: Agent-oriented |
| - Multiagent modelling and simulation environments: REPAST | - Multiagent modelling and simulation environments: REPAST | ||
| - | - Topological data analysis for driven modelling: S[B] | + | - Topology driven modelling: S[B] |
| </WRAP> | </WRAP> | ||
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| ===== Exams ===== | ===== Exams ===== | ||
| <WRAP box round center 95%> | <WRAP box round center 95%> | ||
| - | **Exam Dates A.Y. 2015/2016** | + | **Exam Dates A.Y. 2020/2021** |
| - | * Winter session dates here | + | * Winter session dates here in [[https://didattica.unicam.it/auth/docente/CalendarioEsami/ElencoAppelliCalEsa.do|ESSE 3]] |
| - | * Summer session dates here | + | * Summer session dates |
| - | * Autumn session dates here | + | * Autumn session dates |
| - | * Winter session dates here (2016) | + | * Winter session dates (2021) |
| **Exam rules**: | **Exam rules**: | ||
| * Homeworks | * Homeworks | ||
