Instructors: Prof. Dr. Nassir Navab, Dr. Shahrooz Faghih Roohi,  Azade Farshad, Yousef Yeganeh

• Registration
• Announcements
• Introduction
• Course Structure
• Schedule
• Projects

Registration

• Registration must be done through TUM Matching Platform (please pay attention to the Deadlines)
• In order to increase your priority, please also apply via our own Registration system.
• The maximum number of participants: 24.

Announcements

• The preliminary meeting slides can be found here: MLMI Preliminary Meeting SS24.pdf
• The preliminary meeting is scheduled for Feb 1st, from 13:00 to 13:30, with the following Zoom link:

https://tum-conf.zoom-x.de/j/62875182420?pwd=SWlFM0Jya0dQVFNLeUVrUHg5cWhDUT09

Introduction

• The aim of the course is to provide the students with notions about various machine learning techniques. The course is mainly defined by a project.
  
  • The topics of the projects will be distributed at the beginning of the semester. Each topic will be supervised by a different person. The projects are to be realized by couples.

Course Structure

• Presentation: 50% Intermediate and Final Presentation (Done by all tutors -- mainly on your presentation skill, progress so far compared to other groups ...etc.)
  • Use the CAMP templates for PowerPoint camp-tum-jhu-slides-16_9.potx
  • The guideline for mid-presentation can be found here: GuidelineMLMI_MidPresentation_SS2024.pdf
  • The guidelines for the final presentation can be found here: TBA
• Project Progress: 50% Project Progress (Done by your tutor -- mainly on your weekly progress on lrz git repository.)

Schedule (TBD)

Projects