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

As of my update in April 2023 I currently do not have direct access to the specific course outlines of academic institutions, such as the Dinabandhu Andrews Institute of Technology & Managements BCA program in Artificial Learning & Machine Learning (AL ML). The content of course syllabi can undergo changes due to advancements, in technology, faculty decisions and industry requirements. Although I am unable to provide you with details I can offer a general overview of the topics typically included in a BCA program that focuses on Artificial Learning and Machine Learning. This overview should give you an understanding of what is usually covered. For the accurate and current information it is advisable to reach out directly to the institute or visit their official website. In the realm of programming you'll delve into the basics of languages like Python a choice in the realms of AI and ML. Mathematics plays a role in computer science encompassing discrete math, calculus and statistics to lay down the foundation for grasping algorithms. Computer fundamentals and office automation cover the essentials of hardware, software and common productivity tools. The principles of intelligence offer an insightful overview including its history, applications and ethical dimensions. Data structures shed light on how data can be organized, managed and stored. Moving into Year 2 brings you to machine learning fundamentals that introduce concepts, algorithms and practical applications. Deep learning delves deeper into networks, backpropagation techniques alongside frameworks like TensorFlow and Keras. Database management systems touch upon SQL and NoSQL databases well as data warehousing and mining practices. Statistics tailored for machine learning explores statistical methods that form the backbone of ML algorithms. Programming specifics for AI/ML focus on crafting code for various applications. Year 3 branches out into natural language processing (NLP) techniques for handling human language data analysis. Computer. Image processing entail algorithms dedicated to image/video analysis tasks. Reinforcement learning involves studying algorithms that learn through rewards received for actions taken. Project work typically involves students working on projects applying AI/ML approaches to solve real world challenges while exploring emerging trends in AI/ML research tools and technologies. Additional components may also include courses focusing on soft skills development, alongside professional ethics training.