Event

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Event

2.01.530 Introduction to Artificial Intelligence -  


Event date(s) | room

Description

This course introduces Artificial Intelligence (AI), exploring its foundations, historical milestones, and real-world applications. Topics include the definition of AI, the Turing Test, Artificial General Intelligence (AGI), and ethical considerations. It covers essential machine learning algorithms like K-Nearest Neighbors (KNN) and K-Means Clustering, evaluation metrics such as accuracy, precision, and recall, as well as deep learning techniques including neural networks, Convolutional Neural Networks (CNN), data augmentation, and dropout. Advanced topics include transformers, sequence learning, large language models (LLMs) like GPT, and prompting strategies for AI agents. Through a mix of theory and hands-on exercises, this course equips students with the knowledge and skills to understand and apply AI technologies effectively.

Lecturers

Tutors

SWS
4

Lehrsprache
deutsch und englisch

(Changed: 11 Feb 2026)  |  Kurz-URL:Shortlink: https://uol.de/p28463en
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