Covers approximation algorithms for optimization problems, LP relaxation, and randomized rounding techniques.
Covers model database resolution, hydrology, GIS, connections, transitions, and validation using various datasets.
Explores degree of freedom analysis, redundancy, and data reconciliation in process modeling and optimization.
Covers fundamental concepts in probabilities and statistics, including linear regression, exploratory statistics, and the analysis of probabilities.
Explores handling network data, including types of graphs, real-world network properties, and node importance measurement.
