BCA in Artificial Learning & Machine Learning (AL-ML) at SRMU Lucknow - Course, Fees, Admission, Seats, Syllabus

As of my last update in April 2023, I don't have access to real-time databases or the specific curriculum details for courses at Shri Ramswaroop Memorial University or any other institutions. Curricula, especially for rapidly evolving fields like Artificial Learning and Machine Learning, are subject to frequent updates to keep pace with technological advancements. However, I can provide you with a generic structure based on common subjects and topics covered in a BCA program focusing on Artificial Learning and Machine Learning. For the most accurate and up-to-date syllabus, please consult the official website of Shri Ramswaroop Memorial University or contact the university directly. Here's a hypothetical example in a single line HTML format, assuming a 6-semester structure typical for BCA programs:

Semester	Subjects
1	Introduction to Programming, Mathematics for Computer Science, Introduction to Artificial Intelligence, English Communication Skills
2	Data Structures, Database Management Systems, Object-Oriented Programming, Principles of Machine Learning
3	Advanced Programming with Python, Linear Algebra for Machine Learning, Statistics for Machine Learning, Web Technologies
4	Deep Learning Fundamentals, Natural Language Processing, Computer Vision, Algorithms for Machine Learning
5	Reinforcement Learning, Big Data Analytics, Cloud Computing for AI, Project Work (Part 1)
6	Advanced Topics in AI and ML, Ethical and Social Issues in AI, Elective (Specialization in AI/ML domain), Project Work (Part 2)

Please note, this table is a simplified and generic representation. Actual course offerings, the sequence of subjects, and specific topics covered will vary. Electives and specialization options can significantly influence the curriculum. Always refer to the university's official curriculum for the most accurate and current information.

As of my last update in April 2023, I don't have direct access to the specific syllabus details of the BCA in Artificial Learning & Machine Learning (AL-ML) specialization offered by Shri Ramswaroop Memorial University. However, I can provide you with a general outline of important topics that are typically covered in such programs based on standard curricula for similar courses. Please check the university's official website or contact the university directly for the most accurate and up-to-date syllabus. Here's a single-line HTML format table with general topics you might expect in a BCA AL-ML specialization:

Core Topics	Programming Languages	Mathematical Foundations	Machine Learning Techniques	Deep Learning Concepts	Projects & Practical Applications
Introduction to Artificial Intelligence	Python, R	Linear Algebra, Probability, Statistics	Supervised Learning, Unsupervised Learning	Neural Networks, CNNs, RNNs	Capstone Projects, Case Studies

This table includes a broad overview of topics such as core subjects, programming languages essential for the field, mathematical foundations necessary for understanding algorithms, various machine learning techniques, deep learning concepts, and practical applications through projects and case studies. Remember, the actual syllabus may include more specific subjects, tools, and technologies relevant to the evolving field of artificial intelligence and machine learning.