Lab for Optoelectronics

General Engineering Lab “Solar Cell Electronics”

The following experiments are part of the GELab “Solar Cell Electronics”:

• Current and voltage curves at different levels of illumination
• No-load voltage and short-circuit current at different temperatures
• Charging electronics IC: Measurement at the step-up chopper using the oscilloscope

General Engineering Lab “Electronics of High-Performance LEDs”

The following experiments are part of the GELab “Electronics of High-Performance LEDs”:

• Recording the current-voltage curve of an LED
• Power supply electronics by means of a voltage-dropping resistor
• Power supply electronics by means of a constant-current source

Practical course: Digital signal processor (BET)

The following experiments are part of the practical course: Digital Signal Processor (DSP):

• Quantisation noise and aliasing
• Volume, balance, and stereoscopic image widening
• Echo with ring memory
• FIR filter

Lecture on Accumulator System Technology (MET)

The lecture “Accumulator System Technology” introduces you to various types of rechargeable batteries and their fields of application. A great part of the lecture will teach you the structure and electro-chemical processes of a galvanic cell. Over the course of the lecture, fundamental experiments and sample calculations oriented towards the real world will bring you even closer to the topic.

Lecture in Optics (BET)

During the lecture “Optics”, students will learn about light from its physical point of view (wave-particle duality) and how to apply state-of-the-art technology. In addition, topics of this lecture include geometrical optics, imaging components, light sources and receptors, and further optical effects. Optical fibre and projectors serve as practical examples to apply and deepen knowledge on the topic.

Various projects and research work are conducted in the Lab for Optoelectronics.

We currently conduct research on an optical test system supported by machine learning (MOPS), which is funded by the Bavarian State Ministry for Economic Affairs, Energy and Technology. Here, it is currently under investigation whether machine learning can be combined successfully with new imaging techniques.