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SB Group of Institutions BCA in Artificial Learning & Machine Learning (AL-ML)

BCA in Artificial Learning & Machine Learning (AL-ML) at SB Group of Institutions - Course, Fees, Admission, Seats, Syllabus

location Bangalore ( Karnataka )
location Estd In: 2004
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BCA in Artificial Learning & Machine Learning (AL-ML) at SB Group of Institutions - Course, Fees, Admission, Seats, Syllabus
location
Bangalore ( Karnataka )
location
Estd In: 2004
Last Updated on February 20, 2024 6:25 PM
As of my recent update in April 2023 the SB Group of Institutions situated in Bangalore, India has gained recognition for its dedication to offering cutting edge educational programs in computer applications and other fields. Among their programs is the Bachelor of Computer Applications (BCA) focused on Artificial Learning & Machine Learning (AL ML) which is designed to equip students with both foundational and advanced knowledge required to excel in the rapidly evolving domains of artificial intelligence (AI) and machine learning (ML). This course covers a range of topics including programming languages like Python, which is widely used in AI/ML projects as well as data structures, algorithms, statistical methods for machine learning, deep learning, neural networks and practical applications of machine learning in real world settings. The curriculum strikes a balance between concepts and hands on experience through projects, labs and internships. This ensures that graduates possess not theoretical understanding but also practical skills to tackle complex problems across various industries such, as technology, healthcare, finance and more. The SB Group of Institutions has formed partnerships with companies, in the industry. Employs experienced professors to offer this program with the goal of preparing graduates who can actively contribute to the progress of AI and ML technologies.
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Table of Contents

SB Group of Institutions BCA in Artificial Learning & Machine Learning (AL-ML) Highlights 2024

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

SB Group of Institutions BCA in Artificial Learning & Machine Learning (AL-ML) Syllabus 2024

Creating a single-line HTML table for the SB Group of Institutions BCA in Artificial Learning & Machine Learning (AL-ML) semester-wise syllabus requires a bit of simplification, given the complexity and depth of such a program. Please note, the following is a hypothetical example as specific course details can vary. For the most accurate and up-to-date syllabus, always refer to the official SB Group of Institutions documentation or website.
SemesterSubjects
Semester 1Introduction to Programming, Mathematics for Computer Science, Introduction to Artificial Intelligence, English Communication Skills
Semester 2Object-Oriented Programming, Data Structures, Digital Logic and Design, Environmental Studies
Semester 3Database Management Systems, Operating Systems, Principles of Machine Learning, Discrete Mathematics
Semester 4Algorithms, Computer Networks, Web Technologies, Statistics for Machine Learning
Semester 5Deep Learning, Natural Language Processing, AI & ML Project, Elective I (e.g., Robotics, Computer Vision)
Semester 6Big Data Analytics, Cloud Computing for AI & ML, Elective II (e.g., IoT, Quantum Computing), Major Project
This table structure includes a header row with two columns: "Semester" and "Subjects". Each subsequent row represents a semester, listing core subjects that might be part of a BCA in Artificial Learning & Machine Learning program. Keep in mind, elective subjects can vary greatly, and institutions often update their syllabi to keep pace with technological advancements and industry demands.

SB Group of Institutions BCA in Artificial Learning & Machine Learning (AL-ML) Important Topics 2024

SemesterImportant Topics
Semester 1Introduction to Programming, Mathematics for Computer Science, Basics of Artificial Intelligence
Semester 2Data Structures and Algorithms, Database Management Systems, Principles of Machine Learning
Semester 3Object-Oriented Programming, Linear Algebra for AI, Statistics for Machine Learning
Semester 4Operating Systems, Neural Networks, Deep Learning Fundamentals
Semester 5Computer Networks, Natural Language Processing, Reinforcement Learning
Semester 6Cloud Computing, Advanced Machine Learning Projects, Ethics in AI

SB Group of Institutions BCA Course FAQs

What is the duration of the BCA in Artificial Learning & Machine Learning (AL-ML) program at SB Group of Institutions?
The BCA in Artificial Learning & Machine Learning (AL-ML) program at SB Group of Institutions is a 3-year undergraduate course.
What are the eligibility criteria for enrolling in the BCA in AL-ML program at SB Group of Institutions?
To be eligible for the BCA in AL-ML program at SB Group of Institutions, candidates must have completed 10+2 or equivalent examination from a recognized board with Mathematics as a subject.
How does the selection process work for the BCA in AL-ML program at SB Group of Institutions?
The selection process for the BCA in AL-ML program at SB Group of Institutions typically involves a review of the applicant's academic records and performance in a relevant entrance examination, followed by a personal interview.
What is the fee structure for the BCA in AL-ML program at SB Group of Institutions?
The fee for the BCA in Artificial Learning & Machine Learning (AL-ML) program at SB Group of Institutions is approximately INR 1,20,000 per annum. However, it is advisable to check the official website or contact the admissions office for the most current fee structure.
Are there any special facilities or resources available for BCA in AL-ML students at SB Group of Institutions?
Yes, students enrolled in the BCA in AL-ML program at SB Group of Institutions have access to specialized labs equipped with the latest technology, software, and resources necessary for artificial intelligence and machine learning studies. Additionally, the institution often invites industry experts for guest lectures and provides opportunities for internships and projects in the field.

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