Ein Symbolbild, das die AG repräsentiert
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Lecture Mon. 11:45 - 13:15 Z613

Lab Session

Wed.08:15 - 09:45


Exam 1


Exam 2

Learning Objectives

After successful completion of the course students can explain the basic concepts of lossless and lossy compression of text and images. Students will also have acquired some practice designing their own computer code for selected coding problems. They will be able to identify compression tasks in practical applications and can select and apply appropriate coding techniques. The course prepares students for subsequent bachelor and master projects and thesis work on the topic of muktimedia compression. Several topics will be offered for this.


This course is for advanced Bachelor students and for Master students of computer and information science. Students are familiar with algorithms and data structures and have a good grasp of elementary mathematics as taught in our CS classes. 

Credit Requirements

There will be bi-weekly home work assignments and exercise classes. To pass the course, 50% of the credits for the home work problems are required in addition to passing the written exam at the end. Student presentation of solutions in the exercise sessions are expected. 


180 hours course work, 52 of which are in class, the rest is for reading assignments, home work, and exam preparation.


  • Taubman, David, and Michael Marcellin. JPEG2000 image compression fundamentals, standards and practice: image compression fundamentals, standards and practice. Vol. 642. Springer Science & Business Media, 2012.