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

Creating a single-line HTML table for the Mangalmay Group of Institutions BCA in Artificial Learning & Machine Learning (AL-ML) semester-wise syllabus requires a bit of simplification, as detailed syllabi can be quite extensive. However, I'll provide a generic example that you can customize based on the actual course offerings and structure. Note that the specific courses and their distribution across semesters might vary, so you should adjust the content accordingly.

Semester	Subjects
Semester 1	Introduction to Programming, Mathematics for Computer Science, Introduction to Artificial Intelligence, English Communication, Environmental Studies
Semester 2	Object-Oriented Programming, Data Structures, Digital Logic and Design, Principles of Machine Learning, Communication Skills
Semester 3	Database Management Systems, Operating Systems, Statistical Methods for Machine Learning, Web Technologies, Soft Skills
Semester 4	Algorithms, Computer Networks, Deep Learning, Artificial Neural Networks, Professional Ethics
Semester 5	Natural Language Processing, Computer Vision, Cloud Computing, Elective 1, Project Work 1
Semester 6	Big Data Analytics, Robotics and Automation, Elective 2, Elective 3, Project Work 2

This table is a simplified representation and assumes a 6-semester BCA program focusing on Artificial Learning and Machine Learning. Each semester includes a mix of core subjects and electives, which are common in such programs. Remember, the actual subjects, their names, and their semester allocation can differ. You should replace the placeholder subjects with the actual ones from the Mangalmay Group of Institutions' syllabus for the most accurate representation.