Deep Learning for imaging in nano and quantum science

Course content

Students are confident with imaging techniques in nano and quantum science. They can, in applying two special experimental methods i. e. transmission electron microscopy (TEM) and scanning probe methods (SPM), take pictures and basically understand how properties about the investigated system can be derived. The students can apply methods of Data Science using Python to problems in experimental physics. They know how to transform images or convert it into other data formats using libraries in Python. The students understand how Deep Learning can be used to evaluate images obtained by TEM and SPM methods. They are capable to apply artificial neural networks to a (limited) set of images. They are capable to test and debug such Python programs.

Content:

  • Advanced Python programming
  • Methods for obtaining images in nano and quantum science
  • Application of Deep Learnig methods

Course information

Code 1520103
Degree programme(s) Data Science
Lecturer(s) and contact person Prof. Dr. rer. nat. Andreas Hangleiter
Type of course Lecture
Semester Winter semester
Language of instruction English
Level of study Master
ECTS credits 5