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Sikkim Manipal University BCA in Artificial Learning & Machine Learning (AL-ML)

BCA in Artificial Learning & Machine Learning (AL-ML) at Sikkim Manipal University - Course, Fees, Admission, Seats, Syllabus

location Gangtok ( Sikkim )
location Estd In: 1995
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BCA in Artificial Learning & Machine Learning (AL-ML) at Sikkim Manipal University - Course, Fees, Admission, Seats, Syllabus
location
Gangtok ( Sikkim )
location
Estd In: 1995
Last Updated on February 06, 2024 9:04 PM
Sikkim Manipal University (SMU) is a known institution that offers various specializations in the Bachelor of Computer Applications (BCA) field. With its dedication to providing high quality education and industry relevant programs SMU has become a choice for students who want to pursue a career in computer applications. The university provides six specializations in BCA giving students the opportunity to choose an area that matches their interests and career aspirations. These specializations include Software Development, Web Designing, Mobile Applications, Database Management, Networking and Cyber Security. Each specialization focuses on equipping students with the skills and knowledge needed to excel in their chosen field. By offering a range of specializations SMU ensures that students can explore various aspects of computer applications and gain expertise in their preferred domain. Through learning opportunities and exposure, to the industry SMUs BCA specializations lay a strong foundation for students to succeed in the dynamic and constantly evolving world of computer applications.
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Table of Contents

Sikkim Manipal University BCA in Artificial Learning & Machine Learning (AL-ML) Highlights 2024

Course DurationCourse LevelCourse Tuition FeesMode of StudyInstitute Type
3 yearsUndergraduateINR 1,00,000 per yearFull-timePrivate

Sikkim Manipal University BCA in Artificial Learning & Machine Learning (AL-ML) Important Topics 2024

Important Topics in AL-ML Course
Introduction to Artificial Intelligence and Machine Learning
Python Programming for AI & ML
Mathematics for AI & ML
Data Structures and Algorithms for AI & ML
Statistics and Probability for AI & ML
Deep Learning and Neural Networks
Natural Language Processing
Computer Vision
Reinforcement Learning
AI & ML Project Management and Ethics
Advanced Topics in AI & ML

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