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

Semester	Subjects
Semester 1	Introduction to Programming, Mathematics for Computer Science, Introduction to Artificial Intelligence, English Communication
Semester 2	Data Structures and Algorithms, Database Management Systems, Principles of Machine Learning, Environmental Studies
Semester 3	Object-Oriented Programming, Operating Systems, Statistics for Machine Learning, Web Technologies
Semester 4	Advanced Machine Learning, Deep Learning, Artificial Neural Networks, Minor Project
Semester 5	Natural Language Processing, Computer Vision, Electives (IoT, Robotics, etc.), Industrial Training
Semester 6	Big Data Analytics, Reinforcement Learning, Major Project, Electives (Advanced Web Technologies, Cyber Security, etc.)

Please replace this hypothetical content with the actual syllabus from the Hi-Tech Institute of Engineering & Technology for the BCA in AL & ML program. You can usually find the syllabus on the institution's official website or by contacting the academic department directly.

As of my last update in April 2023, I don't have access to the specific syllabus details for the BCA in Artificial Learning & Machine Learning (AL-ML) specialization at Hi-Tech Institute of Engineering & Technology. However, I can provide you with a general outline of important topics that are typically covered in such programs. For a precise syllabus, please consult the institute's official website or contact their academic department directly. Below is a hypothetical outline in a single-line HTML format:

Module	Topics
Introduction to Programming	Basics of Programming, Data Structures, Algorithms
Mathematics for ML	Linear Algebra, Probability, Statistics, Calculus
Foundations of Machine Learning	Supervised Learning, Unsupervised Learning, Reinforcement Learning
Deep Learning	Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks
Artificial Intelligence	Search Algorithms, Knowledge Representation, Natural Language Processing
Machine Learning Projects	Project Design, Implementation, Evaluation
Emerging Technologies	Blockchain, IoT, Quantum Computing in ML

This table is a simplified representation and the actual curriculum may include additional subjects such as ethics in AI, cloud computing for ML, and specific programming languages like Python or R. Always refer to the official curriculum for the most accurate and up-to-date information.