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Institute of Signal Processing
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Course Description.

The Institute of Signal Processing offers courses mainly for the academic degree programs Electronics and Information TechnologyMechatronicsArtificial IntelligenceMedical Engineering, and Computer Science at both Bachelor's and Master's level. Almost all of the courses are accompanied by tutorial classes or labs in which theory is applied to real-world examples and practices. We strongly recommended attending these classes parallel to the course.
Please contact Birgit Bauer in regard to administrative inquiries.

Our courses are a part of of following academic degree programs:

Bachelor's Degree Courses

Digital Signal Processing

Summer Semester, VL and UE

Nowadays, digital signal processing is a part of almost every consumer electronics device, vehicle, industrial machinery, etc. This course provides an introduction to the field of digital signal processing. In addition to base-knowledge methods and algorithms, students acquire basic MATLAB® skills. Students are required to complet bi-weekly assignments.


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KUSSS schedule: VL, opens an external URL in a new window, UE, opens an external URL in a new window

a Low Pass FIR Filters
Signal Processing

Summer Semester, VL and UE

This course focuses on discrete-time signals and linear time-invariant systems, their representations and mathematical treatment. Students in the course, mainly those in their third semester majoring in Electronics and Information Engineering, learn how to work with discrete-time signals and systems in the time and frequency domain in detail. Students also apply what they have learned in the classroom to applications at the MATLAB®.


KUSSS description: VL, opens an external URL in a new windowUE, opens an external URL in a new window
KUSSS schedule: VL, opens an external URL in a new windowUE, opens an external URL in a new window

Plot of a sine with sample points
Circuit and Information Technology 1

Winter Semester, VL and UE

This course provides an understanding of the fundamentals of electricity, electronic components, and circuits. In addition, participants are introduced to the fundamentals of computer programming and are introduced to a higher level programming language as well as in interface and microcontroller programming.

KUSSS description: VL, opens an external URL in a new windowUE, opens an external URL in a new window
KUSSS schedule: VL, opens an external URL in a new windowUE, opens an external URL in a new window

Electrical Circuit
Circuit and Information Technology 2

Summer Semester, VL and UE

This course provides a deeper understanding of electricity, electronic components, and circuits. Students will expand on their understanding of computer programming on both a higher level programming language and interface and microcontroller programming.


KUSSS description: VL, opens an external URL in a new windowUE, opens an external URL in a new window
KUSSS schedule: VL, opens an external URL in a new windowUE, opens an external URL in a new window

Sequential Circuit

Master's Degree Courses

Optimum and Adaptive Signal Processing Systems

Winter Semester, VL and UE

Statistical and adaptive signal processing algorithms have a vast application range in electronic systems designed to transmit, receive, store or extract information. These systems include communications, radar, speech and image processing, biomedical signal processing, control systems, and many others. The course is especially for graduate students in Electronics and Information Engineering as well as in Mechatronics. The presented theory is applied to many real-world application examples. The accompanying tutorial classes focus on implementing the concepts and algorithms developed in the MATLAB®.


KUSSS description: VL, opens an external URL in a new window , UE, opens an external URL in a new window
KUSSS schedule: VL, opens an external URL in a new window ,  UE, opens an external URL in a new window

schematic of a filter with an algorithm
Signal Processing Architectures

Summer Semester, VL and PR

This course is recommended for experienced undergraduate and graduate students. The course focuses on signal processing hardware and implementation. Students learn about a variety of hardware platforms, efficient algorithms, implementation aspects, and pitfalls. The lab course provides constant supervision and gives students an opportunity to implement signal processing algorithms on an FPGA.


KUSSS description: VL, opens an external URL in a new windowPR, opens an external URL in a new window
KUSSS schedule: VL, opens an external URL in a new windowPR, opens an external URL in a new window

 

 

Field Programmable Gate Array - Board

Special Topics in Signal Processing (Guest Lectures)

This course is reserved for guest lecturers and course content changes each semester. Information about the instructor and course content for this newest course will be announced during other courses and on the ISP homepage. The content for previous lectures is available here.