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

Based on my update in April 2023 it may not be directly available or could vary when it comes to specific details about the BCA program in Artificial Learning & Machine Learning (AL ML) offered by Sarala Birla University. However I can provide you with a template based on similar programs that share common characteristics. To get the accurate and up to date information I recommend visiting the official website of Sarala Birla University or reaching out to them directly. Here are some key details about the program; The typical duration of the course is around 3 years. It is an undergraduate level program. The tuition fees can vary so please refer to the universitys website for exact figures. The mode of study is time. Sarala Birla University is an institute. It's important to note that tuition fees can differ based on factors such as residency status ( international) scholarship availability and specific fee structures set by the university. Additionally depending on what the university offers there might be options, like part time study modes. Always refer to Sarala Birla Universitys website for the most current and specific information regarding their programs.

Semester	Subjects
1	Introduction to Programming, Mathematics for Computer Science, Introduction to Artificial Intelligence
2	Data Structures and Algorithms, Database Management Systems, Principles of Machine Learning
3	Advanced Programming, Linear Algebra, Deep Learning Fundamentals
4	Computer Networks, Statistical Methods for Machine Learning, Natural Language Processing
5	Big Data Analytics, Robotics and Automation, Elective 1
6	Project Work, Elective 2, Elective 3

This is a simplified example and may not reflect the actual syllabus. The subjects listed are generic and typical for a program focusing on Artificial Learning and Machine Learning. For detailed and specific information, please refer to the official curriculum provided by Bhagwati Institute of Technology & Science.

Module	Topics
Introduction to AI & ML	History of AI, Foundations of AI, Applications of AI and ML
Python Programming	Basics of Python, Data Structures, Functions, Libraries for AI & ML (NumPy, Pandas, Matplotlib)
Mathematics for AI & ML	Linear Algebra, Calculus, Probability and Statistics
Data Preprocessing	Data Cleaning, Data Transformation, Data Reduction
Machine Learning Algorithms	Supervised Learning, Unsupervised Learning, Reinforcement Learning
Deep Learning	Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks
Natural Language Processing	Text Processing, Sentiment Analysis, Chatbots
AI & ML Projects	Project Design, Implementation, and Evaluation

This table provides a simplified overview and may not cover all the specifics or additional topics that the Bhagwati Institute of Technology & Science might offer. Always refer to the official course syllabus for the most accurate information.