Instructors: Prof. Dr. Nassir Navab, Dr. Shahrooz Faghih Roohi,  Dr. 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: 20

Announcements

• The MLMI Introduction slides can be found here: MLMI Preliminary Meeting WS25-26.pdf

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. 

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 of previous semester can be found here: GuidelineMLMI_MidPresentation_SS2025.pdf
  • The guidelines for the final presentation of the previous year can be found here: GuidelineMLMI_Final presentation_SS2024.pdf
• Project Progress: 50% Project Progress (Done by your tutor -- mainly on your weekly progress on lrz git repository.)

Schedule

Projects