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

As of my update in April 2023 the specific information about the BCA program in Artificial Learning & Machine Learning (AL ML) at Rabindranath Tagore University may not be directly accessible or might have undergone changes in the universitys curriculum or fee structure. However I can provide you with an overview based on common characteristics of similar programs. For the accurate and up to date details I recommend visiting Rabindranath Tagore Universitys official website or contacting their admissions office directly. Here is a general template that outlines some attributes of such programs; Course Duration; Typically spans over a period of 3 years which's common for BCA programs. Course Level; Offered at an undergraduate level. Tuition Fees; Subject to variation (Please refer to the universitys official website for current fee information). Mode of Study; Full time format assumed (following the standard BCA format). Institute Type; University (Public/Private. Please confirm this from reliable sources provided by the university). It's important to note that these details are meant as a representation and may vary. For example tuition fees can differ significantly depending on factors like residency status, availability of scholarships and specific program costs. Additionally if Rabindranath Tagore University offers flexibility in study options there might be possibilities for part time or distance learning, alongside full time study. "Make sure to consult the resources provided by the university for the most accurate and up, to date information."

Sure, here's a simplified single-line HTML table format for a semester-wise breakdown of a BCA in Artificial Learning & Machine Learning (AL-ML) course at Rabindranath Tagore University. Please note, the actual course structure may vary, and this is a generic representation.

Semester	Subjects
Semester 1	Introduction to Programming, Mathematics for Computer Science, Introduction to Artificial Intelligence, English Communication, Environmental Studies
Semester 2	Data Structures, Database Management Systems, Object-Oriented Programming, Principles of Machine Learning, Digital Electronics
Semester 3	Operating Systems, Computer Networks, Advanced Data Structures, Linear Algebra for Machine Learning, Web Technologies
Semester 4	Software Engineering, Algorithms for Machine Learning, Deep Learning Basics, Artificial Neural Networks, Ethics in AI
Semester 5	Natural Language Processing, Computer Vision, Robotics and AI, Cloud Computing for AI, Elective I
Semester 6	Project Work, Internship, Elective II, Elective III, AI in Healthcare

This table includes a basic structure with six semesters, listing core subjects that might be part of such a program. Remember, universities often update their curricula, so it's essential to check the latest course details from the official university website or contact the university directly for the most accurate information.