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Related lectures (32)
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Relational Model: Basics
Introduces the relational model, SQL, keys, integrity constraints, ER translation, weak entities, ISA hierarchies, and SQL vs. noSQL.
Data Modeling: Overview
Covers the importance of data modeling, syntax rules, examples, and software tools.
Hydrologic Parameters Optimization
Covers hydrologic parameters optimization using RS MINERVE software and analyzes the best solution.
Wind Power Production Analysis
Covers wind power production analysis using Python and matplotlib.
Constructivism: Cognitive Conflict and Learning Mechanism
Delves into cognitive conflict as a key learning mechanism in constructivism, emphasizing careful data set design and reflection.
Data Management: Overview
Introduces fundamental concepts of data management, including data models, databases, and key tasks.
Views: Simplifying SQL Queries
Explores views in SQL, covering creation, materialization, maintenance, cube building, and top-k queries optimizations.
Modeling Hydrological Systems: Routing and Flood Retention
Discusses modeling hydrological systems, focusing on routing and flood retention using a new database.
Hydrology Modeling: Routing System
Covers the modeling of hydrological systems, focusing on the retention of floods and the example of the Routing System.
Data Warehouses and Decision Support Systems
Explores views in data warehouses, materialization tradeoffs, top-k queries optimizations, and the impact of column stores.
Learning in the Presence of Distribution Shifts: How does the Geometry of Perturbations Play a Role?
Explores learning challenges with distribution shifts and perturbation geometry, focusing on robust classifiers and natural variation modeling.
Document Structure: Describing Content
Explores the complexity of describing document content and the development of new open standards to address this issue, covering challenges in modeling document structure and content.
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