Scient E-Library

Professional Elective-I Subjects

Explore key resources related to **Professional Elective-I subjects**, offered in Computer Science and Engineering (CSE) under JNTUH R22 curriculum. This includes important concepts, previous year exam papers, and reference materials for each subject.

Artificial Intelligence

Dive into the world of AI, including natural language processing, search algorithms, expert systems, and intelligent agents.

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Big Data Analytics

Explore the techniques and tools used to process and analyze vast amounts of data, and how to extract meaningful insights from big data.

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Blockchain Technology

Understand the fundamentals of blockchain, smart contracts, and decentralized applications (DApps) in this transformative technology.

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Cloud Computing

Explore the principles of cloud computing, including cloud storage, cloud platforms, and the services offered by various cloud providers.

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Cybersecurity

Learn how to secure systems, networks, and data against cyber threats, including encryption, firewalls, and ethical hacking techniques.

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Data Analytics

Learn how to analyze data to find trends, correlations, and insights using various data analysis tools and techniques, including data visualization.

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Data Science

Learn data analysis, statistical methods, machine learning models, and how to process and visualize large data sets.

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Distributed Systems

Dive into the concepts of distributed computing, fault tolerance, and the design of systems that operate across multiple machines.

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Internet of Things (IoT)

Explore the Internet of Things, including sensors, networks, and devices that enable smart systems and automation in everyday life.

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Machine Learning

Learn about supervised and unsupervised learning, decision trees, support vector machines, neural networks, and more in this exciting field.

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Mobile Computing

Learn about mobile technologies, wireless communication, and how mobile computing is revolutionizing the way we interact with the digital world.

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Software Engineering

Learn about software development methodologies, software lifecycle, project management, and software quality assurance processes.

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