Bioprocesses Design: MATLAB Basics

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Explores Bayesian inference, knapsack problem, and prediction using Markov Chain Monte Carlo methods.

Discusses optimizing object retrieval in cluttered environments using efficient stacking and destacking techniques.

Explores the process of detail design in mechanical engineering, from concept to final design.

Explores optimization and simulation techniques, emphasizing heuristics intensification for efficient solution finding.

Covers hydrologic parameters optimization using RS MINERVE software and analyzes the best solution.

Discusses optimization vs. simulation in energy systems engineering, district heating networks, and scientific writing guidelines.

Covers fundamental concepts of optimization and operations research, exploring real-world examples and key topics over a semester.

Explores greedy heuristics, neighborhoods in optimization, and local search algorithms.

By Prof. François Marechal covers the simulation and optimization of energy systems in industrial processes, waste, resources, and energy conversion.

Introduces discrete event simulation through the example of Rico at Satellite, emphasizing the importance of statistical analysis.