Lectures on data science: Introduction and Fundamentals of Machine Learning

21 Mar 2024, 09:00 → 22 Mar 2024, 17:00 Europe/Berlin

GRS001 (RWTH Aachen)

Stefan Sandfeld

This course serves as an introduction to machine learning for beginners, spanning two days. 

The first day is dedicated to statistical machine learning methods such as linear regression and principal component analysis (PCA), taught through a mix of lectures and practical exercises. 

The second day introduces neural networks, starting from perceptrons and moving to fully connected networks, with each concept explained in lectures, followed by hands-on tutorials. Depending on the level and time left, convolutional neural networks (CNNs) could also be covered. 

The course is designed to build foundational knowledge in machine learning for those new to the field.

Thursday 21 March

09:00 → 09:30 Lecture: Introduction and Fundamentals of Machine Learning

Speaker: Prof. Stefan Sandfeld (FZJ, IAS-9)

09:30 → 10:30 Lecture: Linear regression

Speaker: Prof. Stefan Sandfeld (FZJ, IAS-9)

10:30 → 10:45 Break

10:45 → 12:00 Tutorial: Linear regression

Speaker: Tarek Iraki (FZJ, IAS-9)

12:00 → 13:00 Lunch break

13:00 → 14:00 Tutorial: Linear regression (cont’d)

Speaker: Tarek Iraki (FZJ, IAS-9)

14:00 → 14:15 Break

14:15 → 15:30 Lecture: Principal Component Analysis (PCA)

Speaker: Prof. Stefan Sandfeld (FZJ, IAS-9)

15:30 → 15:45 Break

15:45 → 17:00 Tutorial: Principal Component Analysis (PCA)

Speaker: Aytekin Demirci (Forschungszentrum Jülich)

Friday 22 March

09:00 → 10:15 Lecture: Perceptrons, Perceptron Learning, Multi Perceptron Learning

Speaker: Prof. Stefan Sandfeld (FZJ, IAS-9)

10:15 → 10:30 Break

10:30 → 12:00 Tutorial: Perceptrons, Perceptron Learning, Multi Perceptron Learning

Speaker: Aytekin Demirci (Forschungszentrum Jülich)

12:00 → 13:00 Lunch break

13:00 → 14:00 Lecture: Fully Connected Networks

Speaker: Prof. Stefan Sandfeld (FZJ, IAS-9)

14:00 → 14:15 Break

14:15 → 15:30 Tutorial: Fully connected networks

Speaker: Dr Bashir Kazimi (FZJ, IAS-9)

15:30 → 15:45 Break

15:45 → 16:45 Tutorial: Fully connected networks (cont'd)

Speaker: Dr Bashir Kazimi (FZJ, IAS-9)

16:45 → 17:00 Closing remarks and discussion