BCA in Artificial Learning & Machine Learning (AL-ML) at IIMT Group of Colleges - Course, Fees, Admission, Seats, Syllabus

As of my update in April 2023 I currently do not have access to real time databases or specific course outlines, such as those for the IIMT Group of Colleges. Course outlines can undergo changes annually as institutions strive to align with industry advancements and academic requirements. Nevertheless I can offer an overview of what a BCA program, in Artificial Intelligence and Machine Learning might encompass. This overview is based on subjects and themes found in similar programs across various educational institutions. For the precise and current syllabus details it is recommended to visit the official website of the IIMT Group of Colleges or contact their academic department directly. In the year you'll learn about basic programming languages like Python, which are commonly used in AI and machine learning. You'll also delve into mathematical concepts for computer science, such as discrete math, linear algebra and statistics. Additionally you'll cover the fundamentals of computer hardware, software and productivity tools. An introductory course on intelligence will explore its history, applications and ethical considerations. Understanding data structures will be key to organizing and managing data efficiently. Moving on to the year you'll dive into advanced programming topics, like object oriented programming principles. You'll study operating systems to understand processes and memory management. Database management systems will introduce you to databases, SQL. How data is stored and retrieved. In the year of the curriculum students delve into advanced topics such as deep learning, which focuses on neural networks, convolutional neural networks (CNNs) and recurrent neural networks (RNNs). They also explore Natural Language Processing (NLP) to understand techniques for processing human language data. Additionally they learn about Computer Vision for analyzing images and Big Data Analytics to work with large datasets using tools, like Hadoop and Spark. The Capstone Project gives students an opportunity to apply their knowledge in a setting.