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

As of my update in April 2023 I currently do not have access to the precise curriculum details for the Bachelor of Computer Applications (BCA) program at Sam Higginbottom University of Agriculture, Technology and Sciences (SHUATS) specifically in relation to the year wise important topics taught in Artificial Learning & Machine Learning (AL ML). It's important to note that curricula can differ significantly between institutions and may also undergo changes over time. However I can offer you an overview of the key subjects typically covered under Artificial Intelligence (AI) and Machine Learning (ML) within BCA programs across different educational institutions. For the accurate and up to date information I recommend referring to SHUATSs official curriculum or directly contacting the university. In Year 1 students usually delve into Introduction to Programming, Basics of Computer Science well as an introductory module on Artificial Intelligence encompassing its history and applications. Moving on to Year 2 students typically engage with Data Structures and Algorithms. They also get introduced to Machine Learning through both Unsupervised Learning approaches. Additionally they acquire a knowledge of Basic Statistics and Probability for ML purposes while also exploring Python for AI/ML. In Year 3 students delve deeper into Advanced Machine Learning Models along with gaining knowledge about the basics of Deep Learning. They further expand their understanding by studying Neural Networks and Natural Language Processing. Lastly they undertake an AI/ML Project Work as part of their requirements. Please note that this is an outline meant to provide a general understanding. The actual curriculum may incorporate specific or additional topics while possibly having variations, in topic distribution. Make sure to consult the official curriculum of SHUATS BCA for the most precise and up, to date information.