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didattica:magistrale:dcc:ay_2021:main [2020/09/28 15:26] emanuela [Course Objectives] |
didattica:magistrale:dcc:ay_2021:main [2020/09/29 10:18] (current) emanuela [Course Objectives] |
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| **ESSE3 Link** | **ESSE3 Link** | ||
| - | * [[https://didattica.unicam.it/Guide/PaginaADErogata.do?ad_er_id=2018*N0*N0*S1*14565*7555&ANNO_ACCADEMICO=2018&mostra_percorsi=S|Distributed Calculus and Coordination - AY 2018/2019]] | + | * [[https://didattica.unicam.it/Guide/PaginaADErogata.do?ad_er_id=2020*N0*N0*S1*15660*7555&ANNO_ACCADEMICO=2020&mostra_percorsi=S|Distributed Calculus and Coordination - AY 2020/2021]] |
| **Lessons schedule**: | **Lessons schedule**: | ||
| Line 28: | Line 28: | ||
| 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: | ||
| - | - Ordered List Item | + | - issues relevant to the modelling of a complex system |
| + | - the concept of entanglement between structure and behaviour | ||
| + | - issues related to the dynamics of a complex system | ||
| + | - the role of entropy for detecting the state of a complex system | ||
| + | - the concept of emerging behaviour | ||
| + | - the differences among models and languages | ||
| + | - the three formal aspects of a complex system: computation, coordination and adaptation | ||
| + | - the automata-based modelling and forma languages (FSMs) | ||
| + | - the process-based modelling and algebraic languages (CCS) | ||
| + | - the agent-based modelling and coordination languages (Klaim, Linda) | ||
| D2 - APPLYING KNOWLEDGE AND UNDERSTANDING | D2 - APPLYING KNOWLEDGE AND UNDERSTANDING | ||
| At the end of the course, the student should be able to: | At the end of the course, the student should be able to: | ||
| - | - Ordered List Item | + | - characterise the structure and dynamics of complex systems |
| + | - distinguish interactions from relations, so as communication from coordination | ||
| + | - correlate the behavioural and structural components of a complex system | ||
| + | - analyse whether to apply an agent-base model to a real context | ||
| D3 - MAKING JUDGEMENTS | D3 - MAKING JUDGEMENTS | ||
| - | At the end of the course, the student must be able to: | + | At the end of the course, the student must be able to select: |
| - | - choose the best calculus and the more suitable modelling approach to characterize the structure and the behaviour of a complex system; | + | - the best calculus to characterize the structure of a complex system |
| + | - the more suitable approach to model the behaviour of a complex system; | ||
| D4 - COMMUNICATION SKILLS | D4 - COMMUNICATION SKILLS | ||
| - | - write a short review in LaTex | + | - write a short review in LaTex |
| - | - write an essay about the state of the art of an assigned research topic | + | - write an essay about the assigned research topic |
| - | - make a short presentation about the assigned research topic | + | - make a short presentation of the assigned topic |
| D5 - LEARNING SKILLS | D5 - LEARNING SKILLS | ||
| - | At the end of the course, the student should be able to: | + | At the end of the course, the student should be able to: |
| - | - formally characterize the structure and dynamics of complex systems. | + | - autonomously understand if the evolution of the model of a given system can be described and coordinated through the analysis of its phenomenological data. |
| - | - analyse the agent-base modelling and the multiagent systems approach. | + | |
| - | - characterize the evolution of a model with the analysis of real phenomenological data. | + | |
| </WRAP> | </WRAP> | ||
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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 | ||
