Links to the Lecture Notes, recordings and resources will be posted here weekly.

Week Date Lecture Homework's/To do’s
1 18.02.2025 Introduction to course, data-driven design and assessment
Lecture Slides
• In-class Activity link
Slides for introduction to group project
Lecture Recordings 1) Make sure Matlab 2024 is installed with optimization toolbox.
  1. Form groups and ideate possible problems for the group project. | | 2 | 25.02.2025 | Encoding Methods for DesignLecture SlidesIn-class Activity linkLecture Recording | 1) Finalize your group project
  2. Define you encoding
  3. Start defining how you are going to collect data (sim/experiment) | | 3 | 04.03.2025 | Dimensionality Reduction, Autoencoders) • Lecture SlidesIn-class Matlab Script (PCA)Lecture Recording | 1) Finalize your project direction
  4. Identify your encoding and dimensionality
  5. Identify how you are collecting data | | 4 | 11.03.2025 | Genetic AlgorithmsLecture SlidesLecture Recording | | | 5 | 18.03.2025 | GAs (implementation) & Simulated AnnealingLecture SlidesLecture RecordingGA Example Code Multi-objective GA:
  1. Finalize data collection and dimensionality reduction | | 6 | 25.03.2025* | Simulated Annealing, Particle Swarm Optimization Implementation - Exercise Summary