Course Overview:
The M. Tech. course offers a comprehensive exploration of Artificial Intelligence (AI) and Machine Learning (ML) principles, algorithms, and applications. Beginning with foundational topics, learners delve into mathematical concepts and data structures essential for understanding AI and ML algorithms. Advanced areas such as predictive analysis and deep learning are provided, alongside essential topics like data mining and computer vision.The course also includes specialized topics such as big data analytics, internet of things, blockchain technologies, social network analysis, reinforcement learning, optimization techniques, business analytics, and data security, providing learners with additional insights and skills crucial for the broader landscape of AI and ML applications
Eligiblity:
B.E./ B.Tech. in:
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Computer Science and Engineering
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Information Technology
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Electronics and Communication Engineering
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Software Engineering
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Computer and Communication Engineering
Curriculum:
Core Courses
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Mathematical Foundations for Computer Science Engineers Deep Learning Advanced Data Structure and Algorithms Data Mining Artificial Intelligence Architectures for AI Predictive Analytics Computer Vision Data Interpretation and Visualization Foundations of Data Science
Elective Courses
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Cloud Computing Social Network Analysis Natural Language Processing Data Security Blockchain Technologies Reinforcement Learning Big Data Analytics Optimization Techniques Internet of Things Recommender Systems Business Analytics Cognitive Computing Social Engineering
Fee Structure:
A. One Time Fees (Payable at the time of admission)
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S.No Category Items PG 1 Admission fee 2000 2 Learner welfare fund 2500 3 Industry Service and Facility charges 3000 4 Smart Card fee 500 5 Sports Amenities fee 2000 6 Provisional and Degree Certificate 2500 7 Alumni service fee 1500 Sub Total “A” 14000
B. Caution Deposit (Refundable)
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S.No Category Items PG 1 Institute Deposit 5000 2 Library Deposit 5000 Sub Total “B” 10000
C1. Course fee (Applicable to PG Programme – Fractal Mode)
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S.No Category Items PG 1 500 Level – Project Dissertation / MP / IIP – Per Credit 500 2 500 & 400 Level – Professional / Elective Course – Per Credit 1000 3 300 Level – Open / Mandatory Course – Per Credit Course Fee 750 4 Fee per course (Theory) 500 5 Fee per course (Practical) 300 6 Fee per course – Internship / Project 1000 In total Fee for the PG Programme - 80 credits 94,810
D. University Facilitation Fee (Per Year)
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S.No Category Items PG 1 Development Fee 1000 2 Library Fee 1000 3 Laboratory Contingency Charges 2500 4 Learner Accident and Medical Relief Fund 1000 5 Army Flag Subscription 30 Sub Total “D” 5530