Schedule

  • Event
    Date
    Description
    Course Material
  • Due
    02/19/2024 20:29
    Monday
    Project Proposal
  • Exam
    04/01/2024 05:00
    Monday
    Midterm (Tentative Date)
  • Lecture
    01/13/2025
    Monday
    Course Introduction and Logistics
  • Assignment
    01/13/2025
    Monday
    Problem set #0 - Linear Algebra and Calculus
  • Lecture
    01/20/2025
    Monday
    Data, Modeling, and Inference
  • Lecture
    01/20/2025
    Monday
    Introduction to Supervised Learning
  • Lecture
    01/20/2025
    Monday
    Introduction to Deep Learning
  • Due
    01/26/2025 23:59
    Sunday
    Problem Set #0 due
  • Assignment
    01/28/2025
    Tuesday
    Problem set #1 - Regression in Empirical Laws
  • Lecture
    02/04/2025
    Tuesday
    Time Series Analysis
  • Due
    02/04/2025 23:59
    Tuesday
    Problem Set #1 due
  • Lecture
    02/05/2025
    Wednesday
    Modeling the World with Differential Equations
  • Assignment
    02/12/2025
    Wednesday
    Problem Set #2 - Deep Learning and Time Series Analysis
  • Assignment
    02/12/2025
    Wednesday
    Problem Set #3 - Differential Equations and Probabilistic Modeling
  • Due
    02/24/2025 23:59
    Monday
    Problem Set #2 due
  • Lecture
    03/01/2025
    Saturday
    Symbolic Identification of Differential Equations from Data
  • Lecture
    03/06/2025
    Thursday
    Residual Minimization & Physics Informed Neural Networks
  • Due
    03/09/2025 23:59
    Sunday
    Problem Set #3 due