B.Tech – CSE – Artificial Intelligence and Machine Learning (AI & ML)

R 22 Regulation Course Curriculum , Credit Structure & Syllabus

Year IV, Semester – VII

☛ Professional Elective – I (3 Credits)

☛ Professional Elective – II (3 Credits)

☛ Professional Elective -III (3 Credits)

☛ Professional Elective -IV (3 Credits)

☛ Open Elective – II (3 Credits)

☛ 22PS1PC, Project Stage-I (3 Credits)

☛ 22SM701MS, Professional Practice, Law & Ethics (2 Credits)

Professional Elective – I

☛ 22ML71APE, Web Programming

☛ 22ML71BPE, Introduction to Data Science

☛ 22ML71CPE, Graph Theory

☛ 22ML71DPE, Data Policy and Management

Professional Elective – II

☛ 22ML72APE, Information Retrieval Systems

☛ 22ML72BPE, Game Theory

☛ 22ML72CPE, Internet of Things

☛ 22ML72DPE, Data Warehousing and Business Intelligence

Professional Elective – III

☛ 22ML73APE, Semantic Web

☛ 22ML73BPE, Computer Vision and Robotics

☛ 22CS73CPE, Scripting Languages

☛ 22ML73DPE, Cloud Computing

Professional Elective – IV

☛ 22ML74APE, Quantum Computing

☛ 22ML74BPE, Software Process and Project management

☛ 22ML74CPE, Software Testing Methodologies

☛ 22ML74DPE, Mobile Computing

Open Elective – II

☛ 22ML72AOE, Data Policy

Year IV, Semester – VIII

☛ Professional Elective – V (3 Credits)

☛ Professional Elective – VI (3 Credits)

☛ Open Elective – III (3 Credits)

☛ 22PS2PC, Project Stage – II including Seminar (11 Credits)

Professional Elective – V

22ML85APE, Social Network Analysis

22ML85BPE, Augmented Reality & Virtual Reality

22ML85DPE, Ad-hoc & Sensor Networks

22ML85CPE, Web Security

Professional Elective – VI

22CS86APE, Robotic Process Automation

22ML86BPE, Speech and Video Processing

2286CPE, Human Computer Interaction

22ML86DPE, Cognitive Computing

Open Elective – II

22ML83AOE, Data Analytics

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