Differences

This shows you the differences between two versions of the page.

--- didattica:magistrale:dcc:ay_2021:main [2020/09/28 14:49]
emanuela [Course Objectives]
+++ didattica:magistrale:dcc:ay_2021:main [2020/09/29 10:18] (current)
emanuela [Course Objectives]
@@ Line 13: / Line 13: @@
 **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**:
@@ Line 26: / Line 26: @@
 <WRAP box round 95% center>
-  - Be able to characterize the structure and dynamics of complex systems.
+D1 - KNOWLEDGE AND UNDERSTANDING
-  - Be able to apply formal models and languages for modelling systems distribution and coordination.
+ At the end of the course, the student should know and understand:
-  - Be able to analyse the agent-base modelling and the multiagent systems approach.
+      - issues relevant to the modelling of a complex system
-  - Be able to characterize the evolution of a model with the analysis of real phenomenological data.
+        - 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
+ At the end of the course, the student should be able to:
+    - 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
+ At the end of the course, the student must be able to select:
+    - 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
+    - write a short review in LaTex
+    - write an essay about the assigned research topic
+    - make a short presentation of the assigned topic
+D5 - LEARNING SKILLS
+ At the end of the course, the student should be able to:
+        - autonomously understand if the evolution of the model of a given system can be described and coordinated through the analysis of its phenomenological data.
 </WRAP>
@@ Line 38: / Line 67: @@
   - Models and languages for distributed Calculus: process algebraic calculi, rule-based (CHAM), membrane-based (P-Systems).
   - Coordination models and languages: Linda, Klaim
-  - Concurrent Programming paradigms: Agent-oriented, Actor-based.
+  - Concurrent Programming paradigms: Agent-oriented
   - Multiagent modelling and simulation environments: REPAST
-  - Topological data analysis for driven modelling: S[B]
+  - Topology driven modelling: S[B]
 </WRAP>
 ----
@@ Line 58: / Line 87: @@
 ===== Exams =====
 <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**:
   * Homeworks