School of Computational Intelligence

Overview

The School of Computational Intelligence at Joy University recognizes that the traditional focus of Computational Intelligence (CI) on theory and systems (database, computer hardware, and operating systems) is evolving. The emergence of Edge Computing, Cloud Computing, Cybersecurity, Artificial Intelligence, and Big Data is transforming the discipline, making it crucial in addressing critical real-world challenges. These challenges span diverse areas, including healthcare, security, sustainability, and socio-economic development. The B.Tech program in Computer Science and Engineering prepares students to address these inherently multidisciplinary problems. This program enhances Joy University's role and contribution in providing innovative solutions to global challenges and positions the university as a leading source of technological expertise for a self-reliant India.

Programmes Offered

B.Tech. - INTEL, NEC & Edulateral Foundation

• CSE (Artificial Intelligence & IoT)
• CSE (Artificial Intelligence & Machine Learning)
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B.Tech.

• CSE (Artificial Intelligence & Data Science)
• CSE (Artificial Intelligence & IoT)
• CSE (Artificial Intelligence & Machine Learning)
• CSE (Artificial Intelligence & Robotics)
• CSE (Cyber Security)
• Computer Science & Engineering
• ECE (Artificial Intelligence & Machine Learning)
• Information & Communication Technology
• Mathematics & Computing
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B.C.A. - FACE Prep

• Artificial Intelligence
• Data Science
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B.C.A.

• Artificial Intelligence
• Cyber Security
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Programmes Structure & Eligibility

Learning Outcomes

• Develop a comprehensive understanding of computational intelligence principles, including algorithms, data structures, and software engineering practices.
• Acquire proficiency in programming languages and tools essential for AI, machine learning, data science, and cybersecurity.
• Gain expertise in designing and implementing intelligent systems, including neural networks, expert systems, and optimization algorithms.
• Learn to analyze complex data sets using statistical methods, machine learning techniques, and big data technologies.
• Understand the ethical implications of AI and computational technologies, including privacy, security, and societal impact.
• Develop skills in cloud computing, edge computing, and distributed systems for scalable and efficient solutions.
• Master the principles of cybersecurity, including threat detection, encryption, and secure system design.
• Cultivate innovation and problem-solving abilities to address real-world challenges in healthcare, security, sustainability, and socio-economic development.

Expected Graduate Attributes

• Demonstrate a strong sense of intellectual integrity and adhere to the ethics of scholarship.
• Acquire in-depth knowledge in their chosen field(s) of specialization.
• Achieve a high level of proficiency in writing, research, problem-solving, and communication.
• Cultivate critical and creative thinking skills, with a commitment to continuous self-directed learning.
• Be adaptable to various learning methods, including the effective use of information and communication technologies.
• Become well-informed citizens who can actively contribute to their communities, regardless of location.
• Accept and embrace social and civic responsibilities.
• Advocate for environmental sustainability and take proactive steps toward improving ecological well-being.
• Develop a broad global perspective, with strong respect for human rights, equity, and ethical principles.

New Targeted Skill Sets

• Master advanced programming languages such as Python, Java, C++, and R for computational tasks.
• Develop expertise in AI frameworks like TensorFlow, PyTorch, and Scikit-learn for machine learning applications.
• Gain proficiency in data analysis tools including SQL, Hadoop, Spark, and cloud platforms like AWS and Azure.
• Learn cybersecurity techniques, including encryption, network security, and ethical hacking.
• Acquire skills in IoT development, including sensor integration, embedded systems, and real-time data processing.
• Develop competencies in robotics, including control systems, computer vision, and autonomous systems.
• Cultivate abilities in big data analytics, including data mining, predictive modeling, and visualization.
• Build expertise in software development methodologies, version control (Git), and agile practices.
• Enhance problem-solving skills through algorithmic thinking and computational modeling.
• Foster innovation in emerging technologies like blockchain, quantum computing, and augmented reality.
• Develop strong communication skills to articulate complex technical concepts to diverse audiences.

Philosophy

The School of Computational Intelligence (JU-SOCI) at Joy University emphasizes experiential learning through industry collaborations, hackathons, and real-world projects. This approach helps students understand the dynamic landscape of technology, emerging trends in AI and computational fields, prioritize technological challenges, develop innovative solutions, and cultivate skills and attitudes for working with tech communities to drive digital transformation and societal advancement. The focus is on integrating cutting-edge research with practical applications to prepare students for leadership in the digital era.

Objectives

• To provide students with hands-on experience in computational intelligence through industry partnerships, hackathons, and real-world projects.
• To familiarize students with the rapidly evolving technological landscape, including AI, cybersecurity, and big data trends.
• To impart practical knowledge in designing and implementing intelligent systems for diverse applications.
• To develop strong communication and collaboration skills for working in multidisciplinary tech teams.
• To build confidence and competence in solving complex computational problems using innovative approaches.
• To integrate cutting-edge research with practical applications, preparing students for leadership in digital transformation.

Faculty & Staff