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

Kolkata ( West Bengal )

Estd In: 2003

Last Updated on February 15, 2024 2:50 PM

The Guru Nanak Institute of Technology (GNIT) in Kolkata is at the forefront of education. They offer a BCA program in Artificial Learning & Machine Learning (AL ML) that is specifically designed to meet the demands of the fast evolving tech industry. This comprehensive course aims to provide students with an understanding of both theoretical concepts and practical applications in the fields of Artificial Intelligence (AI) and Machine Learning (ML). The curriculum covers a range of topics including data structures, algorithms, neural networks, Python programming and more. It ensures that students are well prepared to tackle real world challenges. With their state of the art campus experienced faculty and strong focus on research and development GNIT Kolkata is dedicated to nurturing technology leaders. Situated in one of Indias technology hubs their strategic location offers opportunities for industry interaction and internships making it an excellent choice, for aspiring tech professionals who want to specialize in AL ML.

Introduction
Specializations Highlights
Specializations Syllabus
Specializations Important Topics
FAQs

Guru Nanak Institute of Technology BCA in Artificial Learning & Machine Learning (AL-ML) Highlights 2024

Course Duration	Course Level	Course Fee	Mode of Study	Institute Type
3 Years	Undergraduate	Varies	Full Time	Private

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

As of my last update in April 2023, I don't have access to real-time databases or specific course syllabi for institutions like the Guru Nanak Institute of Technology (GNIT) in Kolkata. However, I can provide a general outline of what a BCA (Bachelor of Computer Applications) syllabus might look like, based on common subjects and topics taught in similar programs across various institutions. For the most accurate and up-to-date syllabus, please consult the official GNIT website or contact the institution directly. Below is a hypothetical example of what the BCA syllabus could look like, formatted as requested:

Semester	Subjects
Semester 1	Introduction to Programming using C, Mathematics for Computing, Digital Electronics, English Communication, Environmental Studies
Semester 2	Object-Oriented Programming using C++, Data Structures, Discrete Mathematics, Principles of Management, Financial Accounting
Semester 3	Database Management Systems, Operating Systems, Web Technologies, Business Data Processing, Soft Skills
Semester 4	Computer Networks, Microprocessor and Assembly Language, Numerical Methods, Management Information Systems, Minor Project
Semester 5	Software Engineering, Internet Technologies, Elective 1 (e.g., Artificial Intelligence), Elective 2 (e.g., Cloud Computing), Industrial Training
Semester 6	Project Work, Elective 3 (e.g., Data Analytics), Elective 4 (e.g., Cyber Security), Seminar, Comprehensive Viva

This table is a simplified representation and does not cover all specifics such as lab work or detailed elective options. Electives and some courses may vary significantly between institutions. Always refer to the specific curriculum provided by GNIT for the most accurate and detailed information.

Guru Nanak Institute of Technology BCA in Artificial Learning & Machine Learning (AL-ML) Important Topics 2024

Semester	Important Topics in AL-ML
Semester 1	Introduction to Programming, Basics of Artificial Intelligence, Mathematical Foundations for Machine Learning
Semester 2	Data Structures and Algorithms, Probability and Statistics for Machine Learning, Python for Data Science
Semester 3	Machine Learning Fundamentals, Linear Algebra for Machine Learning, Database Management Systems
Semester 4	Deep Learning Basics, Natural Language Processing, Computer Vision
Semester 5	Advanced Machine Learning Models, Reinforcement Learning, Big Data Analytics
Semester 6	AI-ML Project, Ethics in AI, Emerging Trends in AI and ML

Guru Nanak Institute of Technology BCA Course FAQs

What is the duration of the BCA in AL-ML course at Guru Nanak Institute of Technology, Kolkata?

The BCA in Artificial Learning & Machine Learning (AL-ML) course at Guru Nanak Institute of Technology, Kolkata, is a 3-year undergraduate program.

What are the eligibility criteria for enrolling in the BCA AL-ML course?

Candidates must have completed their 10+2 or equivalent examination with Mathematics/Computer Science/Information Practices as one of the subjects. They should also meet the minimum percentage criteria set by the institute.

Does the institute provide placement assistance for BCA AL-ML graduates?

Yes, Guru Nanak Institute of Technology, Kolkata, has a dedicated placement cell that provides training and placement assistance to students enrolled in the BCA AL-ML course.

What are the key areas of study in the BCA AL-ML course?

The BCA AL-ML course covers various topics including Programming Languages, Data Structures, Machine Learning Algorithms, Deep Learning, Natural Language Processing, and Artificial Intelligence applications.

Are there any internship opportunities available for BCA AL-ML students?

Yes, students pursuing BCA in AL-ML at Guru Nanak Institute of Technology, Kolkata, are encouraged to undertake internships. The institute also helps in securing internship opportunities with various tech companies.

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