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अखिल भारतीय इंजीनियरिंग संयुक्त प्रवेश परीक्षा
All India Engineering Common Entrance Test
(AIE CET)
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What advanced computing topics are covered?

What advanced computing topics are covered?

B Tech in IT covers a range of advanced computing topics that prepare students for high-level roles in the rapidly evolving IT industry. These subjects delve deeper into specialized areas of computing, equipping students with the knowledge to tackle complex challenges.

1. Artificial Intelligence (AI) and Machine Learning (ML):
AI and ML are key areas in advanced computing, exploring algorithms that allow computers to learn from data and make decisions. Topics include neural networks, deep learning, natural language processing, and computer vision. Students learn how these technologies are applied in various industries like healthcare, finance, and entertainment.

2. Cloud Computing and Virtualization:
Cloud computing, a fundamental area in modern IT, is covered in depth. Students explore cloud platforms like AWS, Microsoft Azure, and Google Cloud. They learn about cloud architecture, virtualization, and containerization, enabling them to design and manage scalable, distributed systems.

3. Data Science and Big Data Analytics:
Big Data and Data Science focus on the management, analysis, and interpretation of large datasets. Students study tools like Hadoop, Spark, and data mining techniques to derive insights from massive amounts of data. Topics also include data visualization and predictive analytics.

4. Cybersecurity:
Advanced courses in cybersecurity teach students about protecting systems from cyber threats. Topics include cryptography, ethical hacking, network security, risk management, and threat detection, ensuring that students are prepared for security roles in IT.

5. Distributed and Parallel Computing:
These topics focus on how to design and manage systems that work across multiple computers or processors simultaneously. Students learn about parallel algorithms, distributed systems, and techniques to handle large-scale computing problems efficiently.

6. Blockchain and Cryptography:
Blockchain technology is covered, including its applications in secure transactions and decentralized systems. Cryptography, a vital part of cybersecurity, is also explored to protect data and ensure secure communication.

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