Technical Modules

The Technical Modules provide a deep insight into topics which are closely related to your own research project. Handling of LabVIEW, e.g., is very important for scalable measuring or control applications.
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Click on the different module names to see more information as well as the next available dates. All dates are subject to change.

Deep Neural Networks

The goal is to provide participants with theoretical and practical knowledge to Deep Learning and to show how Deep Learning can be used successfully in different fields of research and industry. Deep learning has made enormous progress in areas such as computer vision and speech processing, and there are promising approaches to use Deep Learning in other areas of science and engineering, e.g. for the design of new metamaterials.

Date of Next Module: June 20-23, 2022

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Theoretical and practical introduction to micro- and nanotechnology, overview of technology facilities at KIT.

  • Optical lithography for patterning
  • Theory of photo resists, photochemical reaction, mask aligners, optical mask technology
  • Thin film deposition
  • Thermal evaporation, electron gun evaporation, sputtering
  • Micro optics and related technologies
  • Atomic Force Microscopy
  • Introduction in the technique of direct laser writing for fabrication of photonic crystals
  • Scanning Electron Microscopy and Focused Ion Beam

Date of Next Module: October 17-21, 2022

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Preparation of biological samples, fluorescence microscopy, live cell imaging, laser scanning microscopy

Date of Module: July 4-8, 2022

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Introduction into the theory of discrete signals, estimation and signal processing. Practical exercises as well as computer lab training complement the lectures.

Content:

  • Discrete signals
  • Fourier Transform
  • Random signals
  • Bayesian classification
  • Support vector machines
  • Markov Models / Hidden Markov Models
  • Kalman filter

Date of Module: TBA

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  • Finding solutions to those equations that describe the properties of light and its interaction with matter in a numerical sense
  • Computational methods are often essential to understand actual experiments
  • Simplify the design of optical materials and functional devices prior to any fabricatio
  • Theoretical lectures and hands-on training using different software package
  • Methods that solve rigorously Maxwell’s equations
  • The methods and tools we discuss, therefore, can be applied to systems, where wave optical properties are important
  • Combination of internal and external scientific and industrial experts that will offer theoretical lectures and hands-on training
  • Gain a solid knowledge of the basics of computational photonics and competences to solve a large variety of different problems
  • The acquired knowledge will help in your everyday research

Date of Module: TBA

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  • short three day course
  • understand how basic optical principles are applied in the design of modern optical medical equipment
  • optical coherence tomographes, low coherence light interferometric biometers or Shack-Hartmann-wave front meters
  • industrial research and design of optical medical devices

Date of Module: August 3-5, 2022

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  • Research on most efficient and cost-effective solar cell possible
  • potential active materials
  • last advances of (nano)photonics, materials science and applied physics
  • insights into the field of photovoltaics by discussing design, fabrication and characterization aspects
  • lectures, lab tours or visits of two recognized PV research centers

Date of Module: TBA

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The KSOP-module will cover the National Instruments LabVIEW-courses “Core 1+2".

Date of Module: TBA

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KSOP PhD students can register here.

Register Here