Optimization vs. Simulation in Energy Systems Engineering

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Covers designing and optimizing bioprocesses using MATLAB for modeling enzyme kinetics, chemical design, and bioreactors.

Markov Chains: Simulation and Optimization

Explores Markov chains, Metropolis-Hastings, and simulation for optimization purposes, highlighting the significance of ergodicity in efficient variable simulation.

Engineering the Energy Transition

Delves into EPFL engineers' solutions for the energy transition, covering renewable resources, circularity, and waste-water-energy integration.

Energy Systems Optimization

Explores energy systems modeling, optimization, and cost analysis for efficient operations.

Shape Design: Optimization and Simulation

Explores shape design, optimization, and simulation using geodesic CNNs for aerodynamic performance.

Heat Strategy for Building Heating

Covers strategies to reduce greenhouse gas emissions and improve energy efficiency in building heating.

Energy Systems Engineering: Introduction and Optimization

Covers the introduction to energy systems engineering, focusing on modeling, optimization, and project-based learning.

Optimization and Simulation

Covers the general framework of optimization and simulation, including deterministic control and the optimization problem.

Optimization and Simulation: Bayesian Inference

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

Energy Systems Optimization

Introduces a course on optimizing energy systems using computer-aided decision-making for efficient design and operation.