Mathematical Methods of Image and Pattern Analysis

Please ask any questions that might be of general interest in the feedback forum instead of by mail.

• Lectures: Prof. Christoph Schnörr
• Exercises: Alexander Zeilmann
• Format:
  • Extensive lecture notes that you read on your own.
  • Short videos that explain each subtopic from a top-down viewpoint. This is not a replacement for reading the lecture notes.
  • Exercise sheets you work on your own and compare with our solution videos
  • Coming soon: Mulitple Choice tests
  • A feedback forum in Moodle where students can give feedback and ask questions.
  • No meeting in HeiConf, etc.
  • No in-person lecture (at least at the beginning of the semester)
• Language: English
• SWS: 4
• ECTS: 6
• Lecture Id: MM35, Spezialisierungsmodul Numerik und Optimierung
• Registration: Please register in Müsli and Moodle (you do not need an enrollment key).
• Password: At the beginning of the semester, we will send the password to all registered students.
• Feedback: We have a feedback forum in Moodle for all questions related to the mathematical content and the organization of the course.
• Exam: More information will be announced later.
• Prior Knowledge: Required: Lineare Algebra and Analysis, Recommended: Convex and Nonlinear Optimization

See “Introduction” video on Moodle.

We offer a supplementary practical for this course. This means: You do more and get two more credit points for the course. In our case, this “more” will consist of three programming tasks you have to solve during the months May, June and July. More information on this will follow with the first programming task later.

Fine Print: Please check the module manual of your field of studies whether you can use this supplementary practical for your goal of studies. We can not guarantee this as there are way too many different regulations for the different fields of study. Even if you can not use the supplementary practical, we think these programming exercises are very valuable.

For the programming exercises we recommend Mathematica or Python.

You can use Mathematica free of charge in your browser using the Wolfram Programming Lab. By creating a (free) Wolfram account you can also save your notebooks.

According to Wolfram's COVID-19 Page Wolfram offers free licenses until August 15th for online education. We have not tried this, but you might want to give it a go.

We recommend installing the Anaconda Distribution.

We plan to put the videos, the lecture notes and the exercise sheets on Moodle.