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RSMT Varanasi BCA in Artificial Learning & Machine Learning (AL-ML)

BCA in Artificial Learning & Machine Learning (AL-ML) at RSMT Varanasi - Course, Fees, Admission, Seats, Syllabus

location Varanasi ( Uttar Pradesh )
location Estd In: 1999
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BCA in Artificial Learning & Machine Learning (AL-ML) at RSMT Varanasi - Course, Fees, Admission, Seats, Syllabus
location
Varanasi ( Uttar Pradesh )
location
Estd In: 1999
Last Updated on February 21, 2024 5:34 PM
Rajarshi School of Management & Technology (RSMT) stands out as a top notch institution known for delivering high quality education in the realms of information technology and management. With the increasing need for expertise in Artificial Intelligence (AI) and Machine Learning (ML) RSMT has launched an advanced Bachelor of Computer Application (BCA) program focusing on Artificial Learning & Machine Learning (AL ML). This innovative program is carefully crafted to provide students with principles, practical skills and ethical considerations essential for success in todays fast paced tech industry. The BCA in AL ML at RSMT offers a rounded curriculum covering a variety of subjects such as programming languages, data structures, algorithms, statistical foundations, neural networks, deep learning and cognitive computing. By combining knowledge with hands on projects students are encouraged to tackle real world challenges to enhance their problem solving abilities and technical expertise. Furthermore the program promotes learning by urging students to apply AI and ML concepts across different fields, like healthcare, finance, robotics and more.RSMT has a team of experts and educators to make sure students are ready, for the challenges of the industry further studies or starting their own businesses in the AI and ML sector.
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Table of Contents

RSMT Varanasi BCA in Artificial Learning & Machine Learning (AL-ML) Highlights 2024

FeatureDetail
Course Duration3 Years
Course LevelUndergraduate
Course Tuition FeesVaries
Mode of StudyFull-time
Institute TypePrivate

RSMT Varanasi BCA in Artificial Learning & Machine Learning (AL-ML) Syllabus 2024

Given the specific request and the nature of the information, I'll create a hypothetical syllabus for a BCA in Artificial Learning & Machine Learning (AL-ML) program at Rajarshi School of Management & Technology, as detailed information about their specific curriculum might not be publicly available. This syllabus is a general representation and should be verified with the institution for accuracy.
SemesterSubjects
Semester 1Introduction to Programming, Mathematics for Computer Science, Introduction to Artificial Intelligence, English for Communication, Computer Fundamentals and Office Automation
Semester 2Data Structures, Discrete Mathematics, Operating Systems, Principles of Management, Python Programming
Semester 3Database Management Systems, Object-Oriented Programming with Java, Web Technologies, Linear Algebra for ML, Statistics for ML
Semester 4Machine Learning Fundamentals, Algorithms for ML, Deep Learning Basics, Artificial Neural Networks, Elective I (IoT/Blockchain Technology)
Semester 5Natural Language Processing, Computer Vision, Big Data Analytics, Elective II (Robotics/Quantum Computing), Project Work I
Semester 6Advanced ML Models, Reinforcement Learning, Ethical AI and ML, Elective III (Cybersecurity/Data Science), Project Work II
This table provides a semester-wise breakdown of subjects that could be part of a BCA in Artificial Learning & Machine Learning (AL-ML) program, structured in a single line of HTML for compactness. Remember, this is a hypothetical curriculum and may not reflect the exact offerings of Rajarshi School of Management & Technology. Always consult the institution directly for the most accurate and current information.

RSMT Varanasi BCA in Artificial Learning & Machine Learning (AL-ML) Important Topics 2024

Important Topics in BCA in Artificial Learning & Machine Learning (AL-ML)
Introduction to Programming
Mathematics for Computer Science
Introduction to Artificial Intelligence
Machine Learning Fundamentals
Deep Learning Concepts
Data Structures and Algorithms
Statistical Methods for Machine Learning
Natural Language Processing
Computer Vision
Reinforcement Learning
Neural Networks
Big Data Analytics
Cloud Computing for AI
AI Ethics and Law
Capstone Project in AI/ML

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