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

Haldia ( West Bengal )

Estd In: 2006

Last Updated on February 20, 2024 6:04 PM

The Global Institute of Science and Technology presents an opportunity for students interested in immersing themselves in the dynamic realm of AI and ML with their BCA program specializing in Artificial Learning & Machine Learning (AL ML). This undergraduate degree spanning three years aims to provide students with a foundation in artificial intelligence and machine learning equipping them for various cutting edge career paths. The program is designed to be student friendly emphasizing both comprehension and practical application. As for the fees the Global Institute of Science and Technology offers pricing for their BCA program in Artificial Learning & Machine Learning (AL ML) ensuring accessibility to a diverse range of students. While specific fee details may vary prospective students can expect an education that delivers excellent value for their investment. In addition to the core subjects covering AL and ML this program also includes workshops, seminars and projects that enhance learning by providing real world experience. The Global Institute of Science and Technologys unwavering commitment to delivering high quality education is evident through its state of the art facilities. Experienced faculty members. This makes their BCA program in Artificial Learning & Machine Learning (AL ML) an exceptional choice, for students aspiring to excel within this evolving field.

Introduction
Specializations Highlights
Specializations Syllabus
Specializations Important Topics
FAQs

Global Institute of Science and 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

Global Institute of Science and Technology BCA in Artificial Learning & Machine Learning (AL-ML) Syllabus 2024

Creating a detailed semester-wise syllabus for a specific course like the BCA in Artificial Learning & Machine Learning (AL-ML) at the Global Institute of Science and Technology in a single line of HTML without specific details about the course structure, subjects, and their descriptions is challenging. However, I can provide you with a simplified example of how such a table might be structured in HTML. This example will include placeholders for course names and codes, which you would need to replace with actual data.

Semester	Course Code	Course Title
1	ALML101	Introduction to Machine Learning
1	ALML102	Programming for Data Science
2	ALML201	Advanced Machine Learning
2	ALML202	Artificial Intelligence Principles
3	ALML301	Deep Learning
3	ALML302	Natural Language Processing
4	ALML401	AI & ML Project
4	ALML402	Elective

This HTML code creates a simple table with three columns: Semester, Course Code, and Course Title. Each row after the header row represents a course, with placeholders for the semester number, course code, and course title. You should replace ALML101, Introduction to Machine Learning, and other placeholders with the actual course codes and titles from the BCA in AL-ML curriculum at the Global Institute of Science and Technology. Remember, this is a very basic example. Real syllabus tables might need to include more details like course descriptions, credits, prerequisites, etc. Also, the actual course codes and titles will vary and should be obtained from the institute's official curriculum.

Global Institute of Science and Technology BCA in Artificial Learning & Machine Learning (AL-ML) Important Topics 2024

Module	Topics
Introduction to AI & ML	History of AI, Foundations of Machine Learning, AI vs ML vs Deep Learning
Programming for AI & ML	Python Programming, Libraries (NumPy, Pandas, Matplotlib), R Programming
Data Structures & Algorithms	Arrays, Linked Lists, Trees, Graphs, Sorting and Searching Algorithms
Mathematics for AI & ML	Linear Algebra, Calculus, Statistics & Probability
Machine Learning Techniques	Supervised Learning, Unsupervised Learning, Reinforcement Learning
Deep Learning	Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks
Natural Language Processing	Text Processing, Sentiment Analysis, Language Models
AI & ML Projects	Project Design, Implementation, and Evaluation

This table provides a simplified overview and should serve as a general guide. For the most accurate and up-to-date information, please consult the official website or contact the admissions office of the Global Institute of Science and Technology.

Global Institute of Science and Technology BCA Course FAQs

What is the duration of the BCA in Artificial Learning & Machine Learning (AL-ML) course at Global Institute of Science and Technology?

The BCA in Artificial Learning & Machine Learning (AL-ML) course at Global Institute of Science and Technology is a 3-year undergraduate program.

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

Candidates must have completed 10+2 or equivalent from a recognized board with Mathematics as a subject. A minimum aggregate score of 50% is typically required for general category students, and a relaxation in percentage is offered for SC/ST candidates.

What is the admission process for the BCA AL-ML course at Global Institute of Science and Technology?

Admission to the BCA AL-ML course is based on merit. Candidates need to apply online through the institute's official website. Shortlisted candidates may have to undergo a personal interview round before final selection.

What are the career prospects after completing the BCA in AL-ML?

Graduates can pursue careers as Machine Learning Engineers, Data Scientists, Artificial Intelligence Specialists, Research Scientists, and AI Project Managers in various sectors like IT, healthcare, finance, and e-commerce.

Does the Global Institute of Science and Technology provide placement assistance for BCA AL-ML graduates?

Yes, the institute has a dedicated placement cell that provides training, guidance, and assistance to students. It also organizes campus recruitment drives with leading companies in the technology sector.

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