13906 - Data Exploration and System Management Using Artificial Intelligence / Machine Learning Modulübersicht
Module Number: | 13906 |
Module Title: | Data Exploration and System Management Using Artificial Intelligence / Machine Learning |
Datenexploration und Systemmanagement mit Künstlicher Intelligenz / Maschinellem 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 of the basic operations available for processing datasets measured in systems of any nature (e.g., physical, technical, biological, financial, etc.) and will be able to relate these operations to AI/ML-based methods and tools dedicated to a specific task. The students understand real world problems and can explain them using computer simulations. They know how to apply the acquired knowledge to an individual project, including increased skills in preparing project documentation and public presentation. |
Contents: | The subject of the module are the classes of real-world problems that can be solved by data exploration using AI/ML methods. This includes, for example, anomaly/outlier detection, data decomposition and feature selection, data fusion, prediction, decision support. A mapping between problems and available AI/ML methods will be presented. The project consists in solving a self-defined problem using a selected AI/ML technique and computer simulations. The software procedure together with a project report will be created by student. |
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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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