Type A
|
Code |
Competences Specific | | A1 |
Integrate the fundamental technology, applications, services and systems of Computer Security and Artificial Intelligence,in a broader, multidisciplinary context.
|
| A7 |
Understand and apply advanced knowledge of high performance computing and numerical or computational problems related to artificial intelligence neural networks and evolutionary systems methods.
|
| G2 |
Perform mathematical modelling, calculation and simulation in company technology and engineering centres, particularly in tasks of research, development and innovation in the areas of Computer Security and Artificial Intelligence
|
Type B
|
Code |
Competences Transversal | | CT1 |
Gestionar i comunicar informació complexa, de temes diversos, amb naturalitat, en llengua estrangera. |
| CT2 |
Formular valoracions a partir de la gestió i ús eficient de la informació. |
| CT3 |
Resoldre problemes complexes de manera crítica, creativa i innovadora en contextos multidisciplinars. |
| CT5 |
Comunicar idees complexes de manera efectiva a tot tipus d’audiències. |
Type C
|
Code |
Competences Nuclear |
Type A
|
Code |
Learning outcomes |
| A1 |
Analitza els problemes i les seves causes des d'un enfocament global i de mitjà i llarg termini.
| | A7 |
Coneix les principals característiques de la teoria de xarxes complexes.
Coneix i sap les propietats estructurals de les xarxes complexes.
Sap implementar models de xarxes complexes.
Sap utilitzar els mètodes de detecció de comunitats en xarxes.
Sap resoldre problemes dinàmics en xarxes complexes.
Es familiaritza amb la recerca, comprensió i utilització d'articles d'investigació en llengua estrangera.
| | G2 |
Aplica les tècniques apreses en contextos concrets.
|
Type B
|
Code |
Learning outcomes |
| CT1 |
Gestionar i comunicar informació complexa, de temes diversos, amb naturalitat, en llengua estrangera.
| | CT2 |
Formular valoracions a partir de la gestió i ús eficient de la informació.
| | CT3 |
Resoldre problemes complexes de manera crítica, creativa i innovadora en contextos multidisciplinars.
| | CT5 |
Comunicar idees complexes de manera efectiva a tot tipus d’audiències.
|
Type C
|
Code |
Learning outcomes |
Topic |
Sub-topic |
Structural properties of complex networks |
Introduction to complex networks
Real networks examples
Classification of networks
Metrics on networks
|
Models of complex networks |
Erdos-Renyi model
Barabasi-Albert preferential attachment
Configuration model
Watts-Strogatz small-world model
|
Mesoscopic description of complex networks |
Community structure in complex networks
Community detection algorithms
Multiple resolution of community structure in networks
|
Dynamics on networks |
Synchronization in complex networks
Epidemic spreading in complex networks
Other dynamics: percolation, evolutionary games, diffusion, etc.
|
Methodologies :: Tests |
|
Competences |
(*) Class hours
|
Hours outside the classroom
|
(**) Total hours |
Introductory activities |
|
1 |
0 |
1 |
Material reading and studying |
|
17 |
13.5 |
30.5 |
Forums of discussion |
|
0.2 |
0.3 |
0.5 |
Presentations / expositions |
|
0.8 |
1.2 |
2 |
Assignments |
|
9 |
30 |
39 |
Personal tuition |
|
2 |
0 |
2 |
|
|
(*) On e-learning, hours of virtual attendance of the teacher. (**) The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. |
Methodologies
|
Description |
Introductory activities |
Introduction to the course and its contents |
Material reading and studying |
work of the student with the contents of the subject with the supervision of the professor. |
Forums of discussion |
|
Presentations / expositions |
|
Assignments |
Tools for the developent of solutions and the practical resolution of problems
Practical exercises to attain experience and consolidate the theoretical knowledge |
Personal tuition |
Personal tuitition through telematic means |
Description |
Soving doubts about the contents and practical exercises by email. |
Methodologies |
Competences
|
Description |
Weight |
|
|
|
|
Assignments |
|
Evaluation of practical exercises |
100% |
Others |
|
|
|
|
Other comments and second exam session |
|
Basic |
|
Newman, M.E.J., Networks: An Introduction, Oxford University Press, 2010 Articles en revistes científiques: - M.E.J. Newman: The Structure and Function of Complex Networks, SIAM Review 45 (2003) 167–256 - S. Boccaletti, V. Latora, Y. Moreno, M. Chavez, D.-U. Hwang: Complex networks: Structure and dynamics, Physics Reports 424 (2006) 175–308 - S. Fortunato: Community detection in graphs, Physics Reports486 (2010) 75- 174 |
Complementary |
|
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(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation. |
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