Curriculum

B. Tech.- CSE(AI&DS) :: I Year - R23 Regulation

Course Structure & Syllabus

AI&DS 1st Year (I – Semester)	AI & DS 1st Year (II- Semester)
Communicative English Engineering Physics Linear Algebra & Calculus Basic Civil and Mechanical Engineering Introduction to Programming Communicative English Lab Engineering Physics Lab Computer Programming Lab Health, and Wellness, Yoga and Sports	Chemistry Differential Equations and Vector Calculus Basic Electrical and Electronics Engineering Engineering Graphics Data Structures IT Workshop Electrical and Electronics Engineering Workshop Data Structures Lab NSS / Community Service

 

B. Tech. - CSE(AI&DS) :: II Year R23 Regulation

Course Structure & Syllabus

AI&DS 2nd Year (I – Semester)	AI&DS 2nd Year (II- Semester)
Discrete Mathematics & Graph Theory Understanding Human Values – Understanding Harmony and Ethical Human Conduct Data Base Management Systems Advanced Data Structures & Algorithms Analysis Object Oriented Programming through JAVA Advanced Data Structures & Algorithms Analysis Lab Object Oriented Programming through JAVA Lab Python Programming Environmental Science	Optimization Techniques Statistical Methods for Data Science Operating Systems Introduction to Data Science Software Engineering Operating Systems Lab Data Science Using Python Lab Full Stack Development – 1 or Any of the APSCHE offered Skill Oriented Course. Design Thinking & Innovation

 

B. Tech. - CSE(AI&DS) :: III Year R23 Regulation

Course Structure & Syllabus

AI&DS 3rd Year (I – Semester)

AI&DS 3rd Year (II- Semester)

Artificial Intelligence Computer Networks Computer Organization and Architecture Professional Elective – I Automata Theory & Compiler Design Object Oriented Analysis and Design Soft computing Internet of Things Exploratory Data Analysis with Python Any of the 12-Week SWAYAM /NPTEL Course suggested by the BoS Open Elective or Entrepreneurship Development & Venture Creation Artificial Intelligence Lab Computer Networks Lab Full Stack development -2 /SWAYAM Plus-Data Engineer/AI Engineer Tinkering Lab(User Interface Design using Flutter)

Big Data Analytics Machine Learning Data Visualization Professional Elective-II: Software Testing Methodology Cryptography & Network Security Recommender Systems NoSql Databases Computer Vision Any of the 12-Week SWAYAM /NPTEL Course suggested by the BoS Professional Elective-III Software Project Management Cloud Computing Quantum Computing Social Network Analysis Any of the 12-Week SWAYAM /NPTEL Course suggested by the BoS Open Elective – II Data Visualization and Machine Learning Lab Big Data Analytics Lab Soft skills Technical Paper Writing & IPR

B. Tech. - CSE(AI&DS) :: IV Year R22 Regulation

Course Structure & Syllabus

AI&DS 4th Year (I – Semester)

AI&DS 4th Year (II- Semester)

Professional Elective –III: Adhoc & Sensor Networks Reinforcement Learning Social Media Analytics Software Testing Methodologies Professional Elective –IV: Human Computer Interaction Cyber Security & Cyber Laws Web Intelligence Parallel Computing Robotic Process Automation Professional Elective –IV: E-commerce & Digital Marketing Bioinformatics Block Chain Technologies Soft Computing Network and Graph Analysis Job Elective –II: Spring Boot Autonomous Systems Job Elective –III: Cloud Computing & IoT Secure Coding Techniques Management Science Big Data: Apache Spark Industrial / Research Internship (After Third Year)

Major Project & Internship(6 Months) Seminar

B. Tech.- CSE(AI&ML) :: I Year - R23 Regulation

Course Structure & Syllabus

AI&ML 1st Year (I – Semester)	AI & ML 1st Year (II- Semester)
Communicative English Engineering Physics Linear Algebra & Calculus Basic Civil and Mechanical Engineering Introduction to Programming Communicative English Lab Engineering Physics Lab Computer Programming Lab Health, and Wellness, Yoga and Sports	Chemistry Differential Equations and Vector Calculus Basic Electrical and Electronics Engineering Engineering Graphics Data Structures IT Workshop Electrical and Electronics Engineering Workshop Data Structures Lab NSS / Community Service

 

B. Tech.- CSE(AI&ML) :: II Year - R23 Regulation

Course Structure & Syllabus

AI&ML 2nd Year (I – Semester)	AI&ML 2nd Year (II- Semester)
Discrete Mathematics & Graph Theory Understanding Human Values – Understanding Harmony Artificial Intelligence Advanced Data Structures & Algorithms Analysis Object Oriented Programming through JAVA Advanced Data Structures & Algorithms Analysis Lab Object Oriented Programming through JAVA Lab Python Programming Environmental Science	Optimization Techniques Probability & Statistics Machine Learning Data Base Management Systems Digital Logic & Computer Organization Machine Learning Lab Data Base Management Systems Lab Full Stack Development – 1 or Any of the APSCHE offered Skill Oriented Course. Design Thinking & Innovation

 

B. Tech.- CSE(AI&ML) :: III Year - R23 Regulation

Course Structure & Syllabus

AI&ML 3rd Year (I – Semester)

AI&ML 3rd Year (II- Semester)

Information Retrieval Systems Computer Networks Operating Systems Professional Elective – I Software Engineering Cloud Computing Internet of Things Exploratory Data Analysis with Python Automata Theory & Compiler Design Any of the 12-Week SWAYAM /NPTEL Course suggested by the BoS Open Elective or Entrepreneurship Development & Venture Creation Information Retrieval Lab Computer Networks Lab Full Stack development -2 /SWAYAM Plus-Data Engineer/AI Engineer Tinkering Lab(User Interface Design using Flutter)

Natural Language Processing Deep Learning Data Visualization Professional Elective-II: Software Testing Methodology Cryptography & Network Security DevOps Recommender Systems Any of the 12-Week SWAYAM /NPTEL Course suggested by the BoS Professional Elective-III Software Project Management Mobile Adhoc Networks Computer Vision NoSQL Databases Any of the 12-Week SWAYAM /NPTEL Course suggested by the BoS  Open Elective – II Deep Learning Lab Data Visualization Lab Soft skills Technical Paper Writing & IPR

B. Tech.- CSE(AI&ML) :: IV Year - R22 Regulation

Course Structure & Syllabus

AI&ML 4th  Year (I – Semester)

AI&ML 4th Year (II- Semester)

Professional Elective –III: Adhoc & Sensor Networks Reinforcement Learning Social Media Analytics Software Testing Methodologies Professional Elective –IV: Human Computer Interaction Cyber Security & Cyber Laws Web Intelligence Parallel Computing Robotic Process Automation Professional Elective –IV: E-commerce & Digital Marketing Bioinformatics Block Chain Technologies Soft Computing Network and Graph Analysis Job Elective –III: Spring Boot Autonomous Systems Job Elective –IV: Cloud Computing & IoT Secure Coding Techniques Management Science Big Data: Apache Spark Industrial / Research Internship ( After third year)

Major Project & Internship (6 months) Seminar