Dear fellow students, my name is Daniel and I am happy that you are interested in our

course Mathematical Data Science.

Most likely you are aware of the current changes to the education system at the FAU.

The Corona crisis has had a huge impact on our society and we all have to adapt.

Ten weeks ago I didn't believe I would have to give my lectures from my home office instead

of being in a big lecture hall.

I still need to get used to looking with the never blinking eye of my webcam instead of

looking into the faces of young and motivated students.

This is the first time we are recording our lectures digitally, discuss exercises in virtual

classrooms and exchange chalkboard smart pants.

We will need to experiment with the different possibilities of remote teaching and adapt

our deductive concepts now.

Our main aim is to enable you a good learning experience and we hope that you will help

us to improve our online lectures by giving us honest feedback.

Let's make the best of this situation and also try to see the benefits.

You can now attend the lectures in your favorite pajama or mute the teacher whenever you like.

So back to the subject of this course, you are interested in data science.

This is a great time for gathering and modeling and understanding data.

Data scientists share some of the most wanted qualifications currently needed in industry.

While big data was on vogue in the last five years, the term smart data is now a buzzword

to be heard everywhere.

So it's not about collecting as much data as possible but to analyze the most relevant

information and identify hidden patterns in the data and what could be a more suitable

tool to do so than mathematics.

In the following, I would like to give you a short motivation for studying mathematical

data science and I hope I will get you hooked for the next couple of weeks.

Hello and welcome everyone for today's online lecture.

Before I give you an introduction to the field of mathematical data science, I would like

to introduce our group and especially the persons that will guide you through this course.

So let's begin with our boss.

This is Professor Martin Burger.

He joined Erlang about 18 months ago and now he's the head of the chair of Applied Mathematics

I.

So he's the successor of Professor Peter Knabner since April the 1st.

And internally, we like to call him Scheffe.

He even has a jersey from Hamburger's Fahle where it's written on his back.

And his research interests are currently nonlinear spectral theory, which can be seen as a generalization

of eigenfunctions and eigenvalues for nonlinear operators, which is pretty cool, and inverse

problems and imaging in particular.

So his hobbies next to his family are doing sports.

He's running a lot in the woods, currently even more due to the corona epidemic, and

he plays amateur soccer with some people from our group.

So if you ever feel like joining our soccer round, just send us an email.

We're still looking for fresh players.

Otherwise, you might find him quite often praise Austrian mathematicians.

Whenever the name Johann Radon pops up, for example, he could go on hours and hours to

tell you how important Austrian mathematics are.

So the next lecturer I would like to introduce is Dr. Philipp Wacker.

So Philipp joined our group about 14 months ago as a postdoc, and he's the one who keeps

our PhD students under control so that they won't go too wild.