Lectures related to Collaboration in Innovation: Stöckli and EPFL

Optimization with Constraints: KKT Conditions

Covers the KKT conditions for optimization with constraints, essential for solving constrained optimization problems efficiently.

Physics of Manufacturing: Assembly and Design Optimization

Explores precision positioning, DFA, DFM, and DFMA principles for efficient manufacturing.

Energy Systems Optimization

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

Energy optimization strategies

Covers brainstorming options for smart operation changes, heat recovery, and PV panel performance.

Optimization Methods: Theory Discussion

Explores optimization methods, including unconstrained problems, linear programming, and heuristic approaches.

Tutorial on FluidUI

Provides a tutorial on FluidUI, a tool for creating web and mobile prototypes efficiently and collaborating with team members.

Optimization with Constraints: KKT Conditions

Covers the optimization with constraints, focusing on the Karush-Kuhn-Tucker (KKT) conditions.

MILP Model and Typical Days by FM

Discusses MILP model, typical days, clustering, and extreme periods analysis in energy systems optimization.

Study Preferences and Schedule Management

Covers setting study preferences, managing schedules, finding buddies, and tracking progress.

Fly Nova: Revolution in Design and Performance

Presents the new Fly Nova, emphasizing its revolutionary design and performance advancements after three years of the previous model.

Simulation & Optimization: Poisson Process & Random Numbers

Explores simulation pitfalls, random numbers, discrete & continuous distributions, and Monte-Carlo integration.

Optimization Principles

Covers optimization principles, including linear optimization, networks, and concrete research examples in transportation.

Design of Experiments: Efficiency and Interactions

Introduces the Design of Experiments, emphasizing efficiency and interactions in R&D through historical context and practical examples.

Optimisation Strategies: Energy Systems Modelling and Optimization

Explores solving strategies for energy system optimization problems and different types of optimization approaches.

Optimization Programs: Piecewise Linear Cost Functions

Covers the formulation of optimization programs for minimizing piecewise linear cost functions.

Boolean Algebra: Properties and Optimization

Explores Boolean algebra properties and optimization techniques using Karnaugh diagrams and De Morgan's theorems.

Semi-Definite Programming

Covers semi-definite programming and optimization over positive semidefinite cones.

Optimization Techniques: Convexity in Machine Learning

Covers optimization techniques in machine learning, focusing on convexity and its implications for efficient problem-solving.

Optimization and Simulation

Explores optimization techniques like Metropolis-Hastings and Simulated Annealing through Markov chains and stationary distributions.

Optimization and Simulation: Introduction to Simulation

Introduces state-of-the-art methods in optimization and simulation, covering topics like statistical analysis, variance reduction, and simulation projects.