Educational objectives General objectives
The primary educational objective of the course is students' learning of the main problems that can be represented on networks (Networks) and quantitative methods of analysis and optimization (Analytics). Students must also be able to correctly use, for decision-making and management purposes, computer tools to analyze data generated by problems on the network, for network optimization, the analysis of complex networks, the generation and simulation of networks.
Specific objectives
a) Knowledge and ability to understand
After attending the course, the main problems on networks (representations, mathematical formulations, main network metrics, parameters and network performance) and the main analytical methods to be used to solve such problems (for example: algorithms, mathematical models) graph theory).
b) Ability to apply knowledge and understanding
The problems are formalized in the realm of problems. The most appropriate quantitative method, experimenting with the effectiveness of the problem.
c) Autonomy of judgment
Students develop critical skills through the application of modeling, analysis and optimization to a broad set of network problems. They also develop the critical sense through the comparison between alternative solutions to the same problem using methods of analysis and realistic scenarios different from each other. They learn to critically interpret the results obtained by applying the procedures to real data sets.
d) Communication skills
Students, through the study and the carrying out of the practical exercises, acquire the technical-scientific language of the course, which should be used in the oral tests. Communication skills are also developed through group activities.
e) Learning ability
Students who pass the exam have methods of analysis and optimization on networks that allow them to face, decision-making and optimization of complex systems and networks.
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