Certified online courses and self-developed engineering notebooks integrating theory and computational implementation.
Core mathematical foundations including linear algebra, PCA, and optimization for ML (40 h).
Computer vision, OpenCV, Pillow, ML, CNN and Object detection (23 h).
Complex systems, networks, resilience, and agent-based modeling applied to real-world systems (16 h).
Python programming, Text analysis, NLP, APIs and JSON (21 h).
GIS, spatial analytics, and big data systems using open-source tools (11 h).
FEM fundamentals, PDE modeling, and computational implementation (61 h).
Lagrangian mechanism, Discrete eigenshapes and Dynamic of beam (10 h).
Seismic waves, soil-structure interaction, in situ characterization of complex structures and risk analysis (14 h).
Policy, resilience strategies, and disaster impact mitigation (19 h).
Python, dynamical systems, cellular automata, and simulation methods (23 h).
Computational Fluid Mechanics.
Tension soil, water flow, unidimensional consolidation and soil resistance.
Planning, execution, and management of engineering projects (25 h).
Fundamental physics concepts applied to engineering systems (79 h).
Probabilistic modeling of fragility curves using structural simulations.
Detection of urban expansion using satellite imagery and deep learning.