Decision Theory
15hDiscusses decision problems, operations research fundamentals, mathematical modeling, linear programming, and applications.
Module 4
Prescriptive Methods
Module focused on decision-making under uncertainty and prescribing actions from data.
In this module, students move from diagnosis and prediction to the recommendation of actions. The training integrates operations research, optimization, and decision-making with modern techniques applied to industry and complex systems.
Optimization Methods
15hPresents techniques for combinatorial optimization problems, including classical heuristics and metaheuristics such as Simulated Annealing, Tabu Search, ILS, VNS, GRASP, and Genetic Algorithms.
Reinforcement Learning
30hStudies decisions under uncertainty, Monte Carlo simulation, Markov decision processes, approximate dynamic programming, Q-learning, PPO, and industrial applications.