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- Database design: Includes relational data modeling, entity-relationship modeling, and database design theory
- Database management: Includes database security, administration, and transaction processing
- Database implementation: Includes data definition and manipulation languages, and query coding practices
- Database technologies: Includes XML, RD, OWL, parallel, and noSQL databases
- Database applications: Includes web-based database applications and multi-tier client/server architectures
- Data normalization: Includes functional dependencies, non-loss decomposition, and first, second, and third normal forms
- Data structures and file organizations: Includes concepts and principles of data structures and file organizations
- Data analysis: Includes data and query optimization
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- Teacher: Mamta Sharma
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- Teacher: Nancy Malik
- Teacher: Nancy Malik
MATLAB is a high-level programming language and interactive environment widely used in engineering, mathematics, and scientific computing. It allows users to perform computation, visualization, and data analysis in a single environment. MATLAB stands for "MATRIX LABORATORY," emphasizing its powerful capabilities for matrix operations, which are fundamental in many scientific and engineering applications. It provides a vast array of built-in functions for tasks ranging from basic arithmetic to advanced signal processing and machine learning. MATLAB also supports the creation of user-defined functions and scripts, enabling customization and automation of tasks. Its plotting and visualization tools make it easy to generate various types of graphs and charts for data analysis and presentation. Additionally, MATLAB integrates seamlessly with other programming languages and software, making it a versatile tool for scientific research, engineering design, and algorithm development.
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