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Civil engineering is the design, construction, and maintenance of the physical and naturally built environment, encompassing public works like roads, bridges, canals, dams, airports, and sewage systems. It is one of the oldest engineering disciplines, focused on planning, building, and managing the infrastructure that improves society's quality of life while considering safety, sustainability, and environmental impact. Civil engineers use principles of math, physics, and mechanics to solve complex problems and create lasting, sustainable solutions for modern challenges.

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Computer science is the study of computers, computation, and information, encompassing the theoretical foundations, algorithmic principles, software development, and the application of these principles to solve real-world problems. Key subfields include artificial intelligence (AI), machine learning, cybersecurity, algorithms, and software engineering, with applications in industries such as tech, finance, and government. The field is characterized by its strong roots in mathematics and engineering, and it continuously evolves with advancements in areas like generative AI and natural language processing.

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A database is an organized, systematically collected electronic or computerized repository of data, such as text, numbers, images, and videos. It's managed by a database management system (DBMS), a software that allows users to store, retrieve, manage, and modify the data efficiently. Databases are essential for handling large amounts of information for various purposes, from business transactions to scientific research, and come in different forms like relational (using tables) and non-relational (for unstructured data).

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NLP, or Natural Language Processing, is a field of Artificial Intelligence (AI) that teaches computers to understand, interpret, and generate human language. It combines computer science and linguistics to make sense of spoken and written text, powering applications like chatbots, voice assistants, and translation services. NLP analyzes unstructured language data to extract insights, automate tasks, and facilitate seamless communication between humans and machines.