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Module 4
Workload
60h
Disciplines
3
Full program
360h
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.
Module disciplines
01
15h
Decision Theory
Professor Prof. Dr. Alexandre Xavier
Syllabus
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Decision problems. Operations research. Mathematical modeling. Linear programming. Applications in industry.
02
15h
Optimization Methods
Professor Prof. Dr. Alexandre Xavier
Syllabus
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Techniques for solving combinatorial optimization problems: classical heuristics and metaheuristics. Main metaheuristics: Simulated Annealing, Tabu Search, Iterated Local Search (ILS), Variable Neighborhood Search (VNS), Greedy Randomized Adaptive Search Procedures (GRASP), Genetic Algorithms, and Ant Colony Optimization.
03
30h
Reinforcement Learning
Professor Prof. Dr. Thiago Silva
Syllabus
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Decision-making under uncertainty. Monte Carlo simulation. Markov decision processes. Approximate dynamic programming. Q-learning. Proximal Policy Optimization (PPO). Applications in industry.