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Lecture
Modeling: Principles and Applications
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Hydrology Modeling: Routing System
Covers the modeling of hydrological systems, focusing on the retention of floods and the example of the Routing System.
Model Representation: Structures and Functions
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Modeling Hydrological Systems: Routing and Flood Retention
Discusses modeling hydrological systems, focusing on routing and flood retention using a new database.
Machine Learning at the Atomic Scale
Explores simple models, electronic structure evaluation, and machine learning at the atomic scale.
Springs and Elastisticity
Covers simulation, modeling, acceleration profiles, natural frequencies, rigidity calculations, and anti-resonance solutions for multi-axes robots.
Data Science Fundamentals
Covers the fundamentals of data science, the scientific method evolution, the role of a data scientist, and the significance of data as the new oil.
Constant Integration and Vector Equations
Covers constant integration, vector equations, and applying physical laws to solve movement problems.
Knowledge Representation: Introduction
Covers knowledge representation in AI, logical inference, and applications in various domains.
Group Representation: Definition and Examples
Covers the definition of group representation and examples of equivalent representations.
Handling Data: Data Models and Wrangling
Explores data handling fundamentals, including models, sources, and wrangling, emphasizing the importance of understanding and addressing data problems.