Ruprecht-Karls-Universität Heidelberg
Siegel der Universität Heidelberg

Imaging Science

Objectives

Visual data is abundant and a necessary basis for modern information processing. Visual information comes in various forms be it images, videos, or multi-modal measurements and the applications range from consumer camera related products over inspection in industrial fabrication to satellite remote sensing for exploration and research. Due to the vast amount of visual footage, manual processing is infeasible, thus rendering models and automatic algorithms for image processing, image analysis, and computer vision a crucial necessity. These challenging tasks are in turn intimately linked with the fields of mathematical modeling, pattern recognition and machine learning.

The specialization "Imaging Science" within the International Masters Program of Scientific Computing covers all aspects of visual data analysis ranging from low-level image processing to high-level computer vision and it has deep foundations in applied mathematics (statistics, variational analysis, optimization), machine learning, and artificial intelligence. Besides covering the state-of-the-art of the field, there is also a strong focus on applying this basic level research to challenging applications in diverse areas ranging from industry to research in the life sciences and humanities.


Course Offerings / Tentative Study Plan:

Foundation Courses:

These courses are offered as part of both the Computer Science and the Mathematics Curriculum

Other courses relevant to this specialization:

In Computer Science:

In Mathematics:

Seminars & Practicals

  • Seminars covering recent topics in imaging science.
  • Advanced practical addressing research in imaging science.

Application Fields (18 ECTS according to PO)

  • Life Sciences
  • Humanities
  • Geoinformatics
  • Other Fields as approved

Sample Plan of Study

Winter Term 1:

Summer Term 1:

Winter Term 2:

Summer Term 2:

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