Modeling: Principles and Applications

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Related lectures (31)

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Distributed Information Systems: Overview and Models

Covers Distributed Information Systems, key tasks, methods, projects, evaluation, and exam support.

Data Visualization: Techniques, Tools & Concepts

Covers data visualization techniques, tools, and concepts for effective data representation.

Finite Element Methodology

Explores finite element methodology, covering geometric modeling, technical data, physical behavior assumptions, and mesh convergence studies.

Representation - Acquisition - Management

Covers the representation, acquisition, and management of geospatial data.

Static Equilibrium Modeling: Understanding Forces and Structures

Covers static equilibrium modeling, focusing on forces, bars, and their relationships in structures.

Data Visualization: Techniques and Examples

Explores data visualization techniques using sports, historical events, and literature examples.

Machine learning: Physics and Data

Delves into the intersection of physics and data in machine learning models, covering topics like atomic cluster expansion force fields and unsupervised learning.

Data, big data, clouds and IoT

Explores data representation, databases, cloud computing, and challenges in the cloud environment.

Conformal Blocks: Functions on Moduli Spaces

Covers conformal blocks and their significance in complex structures and moduli spaces.

Knowledge Representation: Semantics and Data Structures

Explores knowledge representation, data structures, semantics, and the challenges of searching for data on the web.