13908 - Experimental Techniques in Physics Supported with Artificial Intelligence / Machine Learning Modulübersicht
Module Number: | 13908 |
Module Title: | Experimental Techniques in Physics Supported with Artificial Intelligence / Machine Learning |
Experimentelle Techniken in der Physik gestützt durch Künstliche Intelligenz / Maschinelles Lernen | |
Department: | Faculty 1 - Mathematics, Computer Science, Physics, Electrical Engineering and Information Technology |
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Language of Teaching / Examination: | English |
Duration: | 1 semester |
Frequency of Offer: | On special announcement |
Credits: | 6 |
Learning Outcome: | After completion of the module, students will have an overview on methods and tools used for experimentation with physical systems. They know the role of artificial intelligence/machine learning (AI/ML) in inference with experimental data processing. They are able to apply the acquired knowledge in computer experiments realized during laboratories. |
Contents: | The subject of the module is the fundamentals of experiment design, including the theoretical and practical aspects of experiment planning and execution. This includes, for example, the role of observation and measurement in cognition process, data collection and processing with the use of statistical and AI/ML methods, data and system modeling, computer simulation, and planning of experiment. The laboratory will use computer simulation to solve selected problems of experimentation, e.g. forward and inverse modeling, signal reconstruction, model identification, experiment planning. Statistical and AI/ML techniques will be used in exemplary tasks. The form of the class includes the realization of tasks under supervision and solving self-defined problems. |
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Mandatory Prerequisites: | None |
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Module Examination: | Prerequisite + Final Module Examination (MAP) |
Assessment Mode for Module Examination: | Prerequisite:
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Evaluation of Module Examination: | Performance Verification – graded |
Limited Number of Participants: | 20 |
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