1. At a theoretical-practical level, the learning outcomes are:
a. Assimilate monitoring as an emerging procedure in digital transition processes in civil engineering in the 21st century.
b. Know the basic concepts and technologies applicable to engineering monitoring processes.
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c. Identify the best approaches and practices for building data analysis models in civil engineering and identify their advantages and drawbacks.
d. Familiarize students with practical monitoring cases in the civil engineering arena.
2. At the laboratory level, the learning outcomes :
a. Obtaining skills for defining and structuring data models.
b. Obtaining basic skills for creating digital data analysis models.
c. Obtaining basic skills for creating monitoring and/or decision support dashboards and/or analysis and optimization scenarios.