Lecture on Data Science "Optimization and Machine Learning“

A1 (NGP²)



Forckenbeckstraße 51 52074 Aachen

In this two-day course, we will cover:

  1. the basics of unconstrained optimization and the connection to the training of machine learning models. 
  2. The (global) optimization with data-driven models embedded. We focus on artificial neural networks and Gaussian processes. 

The course will use the flipped classroom format. Pre-recorded videos (from or own Massive Online Open Course as well as selected public videos) will be made available beforehand, with sufficient time allocated for self-studying, and then revised and discussed in an interactive live session. To reinforce the material taught, hands-on exercises using Jupyter notebooks will conclude each session. Each participant is asked to bring their own laptop to the course. 

Attached, you find a preliminary schedule. Note that, although the first sessions start at 10:00am, you may arrive as early as 8:00am and use the time for self-studying. The study material will be shared in the week before the course.

    • 8:00 AM 10:00 AM
      Warm-up: Arrival, coffee, watch videos etc.

      Arrival, coffee, watch videos etc.

    • 10:00 AM 11:30 AM
      Session 1: Flipped classroom session #1
    • 11:30 AM 12:30 PM
      Session 1: Exercise session #1
    • 12:30 PM 2:00 PM
      Lunch 1h 30m
    • 2:00 PM 3:45 PM
      Session 2: Flipped classroom session #2
    • 3:45 PM 5:15 PM
      Session 2: Exercise session #2
  • Wednesday, March 29
    • 8:00 AM 10:00 AM

      Arrival, coffee, watch videos etc.

    • 10:00 AM 12:30 PM
      Session 3: Flipped classroom session #3
    • 12:30 PM 2:00 PM
      Lunch 1h 30m
    • 2:00 PM 4:00 PM
      Session 3: Exercise session #3