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

As of my update in April 2023 I don't have access to the real time or most recent syllabus details for specific courses like the BCA in Artificial Learning & Machine Learning (AL ML) at Arunodaya University or any other institution. The course syllabi can change from year to year based on advancements, faculty decisions and institutional priorities. However I can provide you with an overview of what such a program might cover based on standard BCA curricula that focus on Artificial Intelligence (AI) and Machine Learning (ML). This information can give you an idea of the subjects and topics typically included. Keep in mind that for the accurate and up, to date syllabus it's advisable to directly contact Arunodaya University or visit their official website. **Introduction to Programming**; This course provides an overview of programming languages such as Python, which is widely used in the fields of AI and machine learning. **Mathematics for Computer Science**; This course covers mathematical concepts like discrete mathematics, calculus and statistics that are crucial, for understanding algorithms. **Computer Fundamentals and Office Automation**; In this course you will learn about computer hardware, software basics and commonly used productivity software. **Principles of Artificial Intelligence**; An course that explores the history, philosophy and ethical considerations in the field of AI. **Data Structures**; Gain a comprehensive understanding of how data can be efficiently organized, managed and stored. In the year of the program students will explore advanced statistical methods that form the foundation of AI and ML algorithms. The curriculum includes a dive into deep learning, which focuses on neural networks and their application in creating models that can learn from data. Additionally students will learn about natural language processing (NLP) where they'll gain insights into techniques that enable computers to comprehend interpret and generate language. Another area of study is computer vision, which explores how computers can acquire a higher level understanding from images or videos. As part of their journey students will also undertake an AI and ML project where they'll have the opportunity to apply their knowledge to solve real world problems. Electives and specializations are available depending on interests, within the program.

Topic	Description
Introduction to AI and ML	Overview of AI history, applications, and ML fundamentals.
Python Programming	Basics of Python programming essential for AI/ML.
Data Structures and Algorithms	Understanding of data organization, manipulation, and algorithm efficiency.
Statistics for AI/ML	Statistical methods and probability theory for data analysis.
Machine Learning Algorithms	Supervised, unsupervised learning, and reinforcement learning.
Deep Learning	Neural networks, CNNs, RNNs, and their applications.
Natural Language Processing	Techniques for processing and analyzing human language.
Computer Vision	Methods for acquiring, processing, analyzing, and understanding digital images.
Robotics	Introduction to robotics and its application in AI.
AI Ethics and Society	Discussion on the ethical implications and societal impact of AI technologies.

Please note that the actual syllabus might include more specific or different topics based on the latest advancements in AI and ML fields and the university's curriculum updates. It's always best to consult the official Arunodaya University website or contact the university directly for the most accurate and up-to-date syllabus information.