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

Week Date Lecture Homework's/To do’s
1 17.02.2026 Introduction to course, data-driven design and assessment
• Lecture Slides [updated, 26]
• In-class Activity link
• Slides for introduction to group project [updated, 26]
• Lecture Recordings [updated, 26] 1) Make sure Matlab 2024 is installed with optimization toolbox.
  1. Form groups and ideate possible problems for the group project. | | 2 | 24.02.2026 | Encoding Methods for Design • Lecture Slides [updated, 26] • In-class Activity link • Lecture Recording | 1) Finalize your group project
  2. Define you encoding
  3. Start defining how you are going to collect data (sim/experiment) | | 3 | 03.03.2026 | Dimensionality Reduction, Autoencoders & GAs • Lecture Slides [updated, 26] • In-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 | 10.03.2026 | Genetic Algorithms & Simulated Annealing • Lecture Slides [updated, 26] • Lecture Recording • GA Example Code Multi-objective GA:
  1. Finalize data collection and dimensionality reduction | | 6 | 24.03.2026* | Simulated Annealing, Particle Swarm Optimization Implementation - Exercise Summary