Sure, I'll provide a simplified version of what a syllabus for a BCA in Artificial Learning & Machine Learning (AL-ML) at the Global Institute of Management Science might look like. Please note that this is a hypothetical example, as specific course offerings and structures can vary widely between institutions.
Year | Semester | Core Courses | Elective Courses | Lab Work |
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1 | 1 | Introduction to Programming, Mathematics for Computer Science, Introduction to Artificial Intelligence | Environmental Science, English for Communication | Programming Lab, AI Concepts Lab |
1 | 2 | Data Structures and Algorithms, Database Management Systems, Statistics for Machine Learning | Principles of Management, Foreign Language | Data Structures Lab, DBMS Lab |
2 | 1 | Operating Systems, Machine Learning Fundamentals, Object-Oriented Programming | Soft Skills, Cyber Security Fundamentals | Machine Learning Lab, OOP Lab |
2 | 2 | Computer Networks, Deep Learning, Web Technologies | Entrepreneurship, Digital Marketing | Deep Learning Lab, Web Technologies Lab |
3 | 1 | Advanced Machine Learning, Natural Language Processing, Cloud Computing | Project Management, Intellectual Property Rights | Advanced ML Lab, Cloud Services Lab |
3 | 2 | Big Data Analytics, Robotics and Automation, Capstone Project | Business Analytics, Human Resource Management | Big Data Lab, Robotics Lab |
This table is a general representation and should be adapted or expanded based on the specific curriculum and requirements of the Global Institute of Management Science's BCA in AL-ML program.