Lecture on Data Science "Optimization and Machine Learning“

Mar 28, 2023, 8:00 AM → Mar 29, 2023, 5:15 PM Europe/Berlin

A1 (NGP²)

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.

Tuesday, March 28

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

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 Warm-up

Arrival, coffee, watch videos etc.

10:00 AM → 12:30 PM Session 3: Flipped classroom session #3

12:30 PM → 2:00 PM Lunch

2:00 PM → 4:00 PM Session 3: Exercise session #3