BCA in Artificial Learning & Machine Learning (AL-ML) at Maharana Pratap Group Of Institutions - Course, Fees, Admission, Seats, Syllabus

As of my update in April 2023 I currently do not have real time access to databases or specific course outlines for educational institutions, like the Maharana Pratap Group of Institutions. Course outlines can vary significantly between institutions. May change over time as universities update their curricula to align with industry advancements and evolving demands. While I cannot provide details I can offer a general overview of what a BCA (Bachelor of Computer Applications) program specializing in Artificial Intelligence (AI) and Machine Learning (ML) might typically include. This overview is based on subjects and topics commonly found in similar programs worldwide. For the accurate information it is recommended to refer to the official Maharana Pratap Group of Institutions website or directly contact their academic department. Principles of ManagementnnYear 2nnSemester 3 includes courses like Algorithms Analysis and Design, Operating Systems, Web Technologies, Software Engineering and Statistical Methods for AI & ML. Semester 4 covers subjects such as Computer Networks, Introduction to AI & ML Python for Data Science, Database and Information Retrieval along with a Minor Project focused on AI/ML.nnMoving on to Year 3,nSemester 5 introduces Deep Learning, Natural Language Processing Big Data Analytics, a course (e.g., Robotics, Computer Vision, IoT for AI) and Industrial Training/Internship. Semester 6 covers topics like Reinforcement Learning, AI & ML Project Management another course (e.g. Advanced Database Management Systems or Cloud Computing for AI) and concludes with a Major Project focusing on an AI/ML Capstone Project.nnElectives allow students to specialize in specific areas of interest within the field of AI and ML. Some elective options include Advanced Machine Learning Models, Image and Video Processing Speech Recognition, Blockchain Technology for AI and Ethics, in AI.nnPlease note that this syllabus serves as a guideline and may not reflect the exact curriculum offered at Maharana Pratap Group of Institutions. The actual program might include components.

Module	Topics
Introduction to Machine Learning	History of ML, Types of ML, Applications
Python for Machine Learning	Python Basics, Libraries for ML (NumPy, Pandas, Matplotlib, Scikit-learn)
Supervised Learning	Linear Regression, Logistic Regression, Decision Trees, Support Vector Machines
Unsupervised Learning	K-Means Clustering, Hierarchical Clustering, Principal Component Analysis
Neural Networks and Deep Learning	Basics of Neural Networks, Deep Learning Frameworks, Convolutional Neural Networks, Recurrent Neural Networks
Reinforcement Learning	Introduction to RL, Q-Learning, Policy Gradients
Natural Language Processing	Text Preprocessing, Word Embeddings, Sentiment Analysis, Machine Translation
Special Topics in ML	Advanced Algorithms, Big Data and ML, Ethical Implications of ML

This table provides a general overview of the types of topics that might be covered in a BCA program focusing on Artificial Learning and Machine Learning. Please consult the Maharana Pratap Group of Institutions or their official website for specific course offerings and syllabi.