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Lecture
Design Optimization: Principles and Applications
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Optimization in Engineering
Explores optimization techniques in engineering for solving complex problems efficiently.
Design of Experiments: Efficiency and Interactions
Introduces the Design of Experiments, emphasizing efficiency and interactions in R&D through historical context and practical examples.
Hybrid CRFs: Design and Optimization
Explores the design challenges and benefits of hybrid CRFs, emphasizing low loss and simultaneous optimization for improved performance.
Examination Procedure and Energy System Optimization
Explores examination procedures, energy system optimization, PV systems, and financial metrics.
Optimization Methods
Covers the Newton's local method in Python using NumPy for optimization.
Geometric Computing Laboratory: Inverse Design Optimization
Explores inverse design optimization in geometric computing, covering topics such as deployable structures, material-aware design, and programmed materials.
Deep Generative Models in Drug Discovery
Explores the application of deep generative models in drug discovery, focusing on designing small molecules and optimizing molecular structures.
Convex Sets: MGT-418 Lecture
On Convex Optimization covers course organization, mathematical optimization problems, solution concepts, and optimization methods.
Lagrange Multipliers: Optimization in 2 Variables
Explores Lagrange multipliers for optimizing functions in 2 variables, emphasizing global and local extrema.
Design Optimization in ChemBio
Explores the design optimization of sensors and bioluminescent proteins for drug monitoring and metabolite visualization.
