Case Studies in Discrete and Nonlinear Optimization [MA4512 and MA4513]

Mar 8, 2021: The deadline for the submission of applications has been extended to March 14.
Feb 25, 2021: Slighty shortened version of the slides of the online information event are available here. Students, who could not attend the online information event, please contact Johannes Pfefferer at for further information about the projects.
Feb 24, 2021: The link to the online information event (on Feb 25, at 17:00) is here Pfeil. To enter the room you need the passcode "25022021".
Feb 8, 2021: There will be an online information event for both case studies courses on Thursday, February 25, at 17:00. More details (such as the link to the online meeting room) will be published here prior to the information event.
The modules Case Studies Discrete Optimization [MA4512] and Case Studies Nonlinear Optimization [MA4513] are a combination of lectures, project work, presentation and soft skills courses: Experience real world optimization problems and apply the skills you have acquired during your degree program to design and implement an optimal solution.
In the Case Studies a small team of students is presented a challenging problem by one of our cooperation partners. Your task is to understand the problem, work out the details together, find a viable way to attack the problem and implement a solution. To do this, you will also have to organize your work as a team, discuss possible solutions and obstacles with your partner and present your challenges and results to a broad audience. Of course, your advisors will be ready to help and guide you through that learning experience. They provide mathematical and methodological input in the form of lecture units and individual consulting sessions and also help you with your presentations and provide constant feedback.
General information about the case studies and the case studies of the previous years are also available here.
Team Case Studies Discrete Optimzation
Organization: Dr. Ulf Friedrich, Room: 6008 (Karlstr. 45, München), E-Mail:
Marilena Leichter, Room: 6017 (Karlstr. 45, München), E-Mail:
Team Case Studies Nonlinear Optimzation
Organization: Dr. Johannes Pfefferer, Room: 03.06.055, E-Mail:
How to contact the Case Studies in Discrete and Nonlinear Optimization
E-Mail address:
Online Information Event
At this meeting on February 25 at 17:00, we will give you some information about the case studies courses in general, what to expect during the courses, this year's projects, important dates and the application process. This is a joint meeting for both the "Case Studies Discrete Optimization" and the "Case Studies Nonlinear Optimization". If you cannot come to this meeting but would still like to take the course, some more information will be published here after the meeting. Please note that application by March 11, 2021 is mandatory! If you have any questions that are not answered here or at the information event, please contact Ulf Friedrich or Johannes Pfefferer.
Application is possible until March 11, 2021, extended to March 14. It is mandatory and binding. To register, please write a short mail to providing the following information:
  • last name, first name
  • your master's program (e.g. Mathematics, Mathematics in Science and Engineering, Mathematical Finance and Actuarial Science, Mathematics in Operations Research, others) and your current semester (counting from the beginning of your master's program)
  • list of optimization related lectures that you have attended (for lectures from other faculties or universities, please give a short description of the topics covered so that we know about your expertise in the field)
  • programming skills (programming languages and other programming related skills, experience in using optimization software)
  • language skills, especially whether you speak (some) German (as some cooperation partners might only speak German; still, this will not exclude you from any project per default!)
  • ranking of the projects (which do you find most interesting, which would be a good alternative etc.); please rank all projects or at least three. (You can also submit an application with a "mixed" ranking including all projects from discrete and nonlinear optimization, we will then assign you to one of the courses while trying to respect your individual ranking.)
  • persons you would like to work with as a team (please ask all these persons to give your name in their application, too)
  • any additional information that might be relevant for the choice of your project or your partners.
You may also submit a joint application by ranking all projects for both Case Studies courses. We will then try to fit you into one of the courses according to your project preferences. We will send you a short message when we have received your email. If you do not receive an acknowledgement within a week, please resubmit your application.
After March 11, we still have a limited number of places available for incomings from abroad and for master students coming from other universities and starting at TUM this summer. If this applies to you, please mention that in your email. If not claimed, these places will be freed for applicants a few weeks before summer term starts. If this applies to you, we will inform you about that by email.
This is an online course. The general content (e.g. of the lectures) will be discussed in online conferences with all students. Moreover, there will be project related online meetings for the different project teams.
Further information (on e.g. the lectures and the projects) will also be available on Moodle one or two weeks prior to the start of the summer term.
TUM Mathematik Rutschen TUM Logo TUM Schriftzug Mathematik Logo Mathematik Schriftzug Rutsche

picture math department

Impressum  |  Datenschutzerklärung  |  AnregungenCopyright Technische Universität München