== Advanced Workshop Machine Learning ==

The workshop takes place during the semester break and is 1 week long. It can be taken as an optional course (3 ECTS) to Machine Learning 1 and 2.

 || '''From:''' || Sep 02, 2019 ||
 || '''To:''' || Sep 06, 2019 ||
 || '''Lecture time:''' || 09:15 - 16:30 ||
 || '''Exam:''' ||  Sep 16 and 17, 2019 (presumably) ||
 || '''Room:''' || MA 042 ||
 || '''Organisation:''' || Seulki Yeom: yeom@tu-berlin.de, Philipp Seegerer: philipp.seegerer@tu-berlin.de, David Lassner: lassner@tu-berlin.de ||
 ||'''Language'''|| English ||
 || '''Application deadline''' || Jul 01, 2019 ||

== Enrollment / Limited number of participants ==

If you intend to participate, please send an e-mail to yeom@tu-berlin.de with title "Advanced Workshop Enrollment" and this text:
{{{
Name: Your name
Matr.Nr: Your student ID (Matrikelnummer)
Degree: The degree you are enrolled in and want to use this course for.
TU student: Yes/No (Are you a enrolled as a regular student at TU Berlin?)
Other student: If you are not a regular student, please write your status.
ML1: Yes/No (Did you take the course Machine Learning 1 at TU Berlin?)
Other ML course: If you did not take ML1 at TU Berlin, please write if you took any equivalent course.
}}}

Participation spots are mostly assigned on a random basis. Please keep in mind that auditing students and Nebenhörer can only participate if less than the maximum number of regular TU students register for the course (http://www.studsek.tu-berlin.de/menue/studierendenverwaltung/gast_und_nebenhoererschaft/parameter/en/). Your participation will be confirmed soon after the application deadline.

== Lecture Topics ==
The workshop will focus on the application of '''machine learning in medicine''', where we will have renowned speakers that are medical experts in different medical disciplines:
  * Neuroscience
  * Radiology
  * Intensive Care
  * Pathology

Each medical talk is paired with a technical lecture, with focus on deep neural networks and interpretability.