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Jeevandeep Institute of Management & Technology BCA in Artificial Learning & Machine Learning (AL-ML)

BCA in Artificial Learning & Machine Learning (AL-ML) at Jeevandeep Institute of Management & Technology - Course, Fees, Admission, Seats, Syllabus

location Varanasi ( Uttar Pradesh )
location Estd In: 2004
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BCA in Artificial Learning & Machine Learning (AL-ML) at Jeevandeep Institute of Management & Technology - Course, Fees, Admission, Seats, Syllabus
location
Varanasi ( Uttar Pradesh )
location
Estd In: 2004
Last Updated on February 21, 2024 5:24 PM
The Jeevandeep Institute of Management & Technology is excited to present its BCA program focusing on Artificial Learning & Machine Learning (AL ML). This program is carefully crafted to provide students with the knowledge and practical skills needed to succeed in the ever changing world of AI. The course covers both principles and real world applications preparing graduates to tackle complex problems and drive innovation in the tech sector. By combining rigor with hands on learning students will explore cutting edge technologies and approaches gaining a deep understanding of AIs potential for transformation. This program is perfect for those looking to lead the way, in the growing field of intelligence and machine learning.
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Table of Contents

Jeevandeep Institute of Management & Technology BCA in Artificial Learning & Machine Learning (AL-ML) Syllabus 2024

SemesterSubjectsProjects
1Introduction to Management, Business MathematicsMarket Analysis Project
2Organizational Behavior, Financial AccountingBusiness Plan Development
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Jeevandeep Institute of Management & Technology BCA in Artificial Learning & Machine Learning (AL-ML) Important Topics 2024

SemesterImportant Topics
Semester 1Introduction to Programming, Basics of Computer Systems, Mathematics for Computer Science
Semester 2Object-Oriented Programming, Data Structures, Discrete Mathematics
Semester 3Algorithms, Database Management Systems, Operating Systems
Semester 4Software Engineering, Web Technologies, Linear Algebra for ML
Semester 5Machine Learning Fundamentals, Deep Learning Basics, Natural Language Processing
Semester 6Advanced Machine Learning, AI & ML Projects, Ethics in AI

Jeevandeep Institute of Management & Technology BCA Course FAQs

What is the duration of the BCA in Artificial Learning & Machine Learning (AL-ML) at Jeevandeep Institute of Management & Technology?
The BCA in Artificial Learning & Machine Learning (AL-ML) at Jeevandeep Institute of Management & Technology is a 3-year undergraduate program, divided into 6 semesters.
How much are the fees for the BCA in AL-ML program at Jeevandeep Institute?
The total fees for the BCA in Artificial Learning & Machine Learning (AL-ML) program at Jeevandeep Institute of Management & Technology are approximately INR 1.5 lakhs per annum. However, fees are subject to change, and students are advised to check the official website or contact the admissions office for the most current information.
What is the admission process for the BCA in AL-ML program at Jeevandeep Institute?
The admission process for the BCA in AL-ML at Jeevandeep Institute of Management & Technology typically involves the submission of an online application form, followed by a counseling session. Some candidates may also be required to appear for an entrance exam or personal interview, depending on their academic background and the number of applicants.
What is the syllabus for the BCA in AL-ML program?
The syllabus for the BCA in AL-ML program at Jeevandeep Institute of Management & Technology covers a wide range of subjects including, but not limited to, Programming Languages, Data Structures, Machine Learning, Deep Learning, Artificial Intelligence, Database Management Systems, and Statistics for Machine Learning. The program also includes practical labs and project work to provide hands-on experience.
What are the selection criteria for the BCA in AL-ML program at Jeevandeep Institute?
The selection criteria for the BCA in AL-ML program at Jeevandeep Institute of Management & Technology primarily include academic performance in the 10+2 examination, performance in the entrance exam (if applicable), and performance in the personal interview. A strong background in Mathematics and Computer Science is recommended for applicants.

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