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

Semester	Subjects
Semester 1	Introduction to Programming, Mathematics for Computer Science, Introduction to Artificial Learning & Machine Learning, English Communication Skills
Semester 2	Data Structures and Algorithms, Database Management Systems, Object-Oriented Programming, Statistics for Machine Learning
Semester 3	Operating Systems, Computer Networks, Advanced Mathematics for AI, Machine Learning Fundamentals
Semester 4	Deep Learning, Natural Language Processing, AI & ML Project Management, Elective 1
Semester 5	Reinforcement Learning, Computer Vision, Research Methodologies in AI & ML, Elective 2
Semester 6	Capstone Project, Industry Internship, Advanced Topics in AI & ML, Elective 3

Please replace the content with the actual syllabus details for the Institute of Advanced Research BCA in Artificial Learning & Machine Learning (AL-ML) program as needed.

According to my recent update in April 2023 the Institute of Advanced Research (IAR) may not provide specific course details for their BCA program in Artificial Learning & Machine Learning (AL ML) due to frequent curriculum updates and the unique nature of individual institutions. Nevertheless I can give you an overview of the important subjects typically covered in BCA programs that focus on Artificial Intelligence (AI) and Machine Learning (ML). These subjects form the foundation for programs like AL ML; 1. Fundamental Computing and Programming; Introduction to Programming using Python and R Data Structures and Algorithms Database Management Systems Computer Networks Operating Systems 2. Mathematics for AI and ML; Linear Algebra Probability and Statistics Calculus Discrete Mathematics 3. Core. Ml Topics; Introduction to Artificial Intelligence Basics of Machine Learning Deep Learning Techniques Neural Networks Natural Language Processing (NLP) Computer Vision Reinforcement Learning 4. Applied. Ml; AI and ML Applications in Robotics Healthcare Applications of AI AI for Web Development and Social Media Integration Speech Recognition Technologies Image and Video Analysis 5. Data Science and Analytics; Data Preprocessing Techniques Exploratory Data Analysis Big Data Technologies Data Visualization Methods 6. Ethics and Societal Impacts; Considerations in AI AI Privacy Concerns Please note that these topics are subject to change based on evolving industry trends. They provide a solid framework, for understanding BCA programs focused on AI and ML. Bias and fairness in AI systems are topics that are covered in the project and research work. This includes the capstone project in AI/ML research methodologies in AI and industry internship or project. Additionally emerging trends such as quantum computing for AI, AI in cybersecurity and edge AI are also explored. It's worth noting that the specific curriculum may vary depending on the institutions focus, the fields evolution and faculty expertise. For the accurate and up, to date information it is recommended to refer to the official curriculum provided by the Institute of Advanced Research or contact their admissions or academic department directly.