14015 - Introduction to Mathematical Methods in Artificial Intelligence Modulübersicht
Module Number: | 14015 |
Module Title: | Introduction to Mathematical Methods in Artificial Intelligence |
Einführung in mathematische Methoden der künstlichen Intelligenz | |
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 successfully completing the module, students will be acquainted with basic principles and main techniques of mathematical methods that are useful in artificial intelligence and machine learning. They understand the inner workings of the techniques. They are able to apply the presented methods. |
Contents: | In the lectures the theory and methods are presented. The knowledge about the material is deepened in self-organised studies and practized in the tutorial at hand of homework problems. Major topics are:
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Recommended Prerequisites: | Knowledge of calculus and linear algebra, e.g. knowledge of the content of the modules
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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: | None |
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