B.Tech Course Catalog - BT23

I Semester
Theory
AHSD01 : Professional Communication AHSD02 : Matrices and Calculus AEED01 : Elements of Electrical and Electronics Engineering ACSD01 : Object Oriented Programming
Practical
AHSD04 : Professional Communication Laboratory ACSD02 : Object Oriented Programming with Java Laboratory AMED02 : Manufacturing Practice AEED03 : Electrical and Electronics Engineering Laboratory
Experiential Engineering Education (ExEEd)
ACSD03 : Essentials of Innovation
Mandatory Course
AHSD06 : Environmental Science
II Semester
Theory
AHSD03 : Engineering Chemistry AHSD07 : Applied Physics AHSD08 : Differential Equations and Vector Calculus ACSD05 : Essentials of Problem Solving
Practical
AHSD05 : Engineering Chemistry Laboratory AHSD09 : Applied Physics Laboratory ACSD06 : Programming for Problem Solving Laboratory AMED03 : Engineering Graphics
Mandatory Course
AHSD10 : Gender Sensitization
Skill Enhancement Project
ACSD04 : Mobile Applications Development
III Semester
Theory
AHSD11 : Probability and Statistics AECD04 : Digital Design and Embedded Systems ACSD08 : Data Structures ACSD09 : Computer Architectures and Operating Systems ACAD01 : Logic Programming for Artificial Intelligence
Practical
ACSD11 : Data Structures Laboratory ACAD02 : Logic Programing for Artificial Intelligence Laboratory AITD02 : Programing with Objects Laboratory
Experiential Engineering Education (ExEEd)
ACSD12 : Prototype and Design Building
IV Semester
Theory
ACSD13 : Design and Analysis of Algorithms AITD03 : Database Management Systems ACSD14 : Web Systems Engineering AITD04 : Computer Networks ACAD03 : Applied Artificial Intelligence
Practical
AITD05 : Database Management Systems Laboratory ACSD17 : Web Systems Engineering Laboratory ACAD04 : Applied Artificial Intelligence Laboratory
Skill Enhancement
ACSD18 : DevOps Engineer #
V Semester
Theory
: Theory of Computation : Object Oriented Software Engineering : Network Security : Machine Learning Algorithms Program Elective – I
Practical
: Machine Learning Algorithms Laboratory : Object Oriented Software Engineering Laboratory
Skill Enhancement
: Skill # : Engineering Design Project
VI Semester
Theory
: Data Mining and Knowledge Discovery : Fuzzy Logic and Inference Systems Program Elective – II Program Elective – III Open Elective – I
Practical
: Data Mining and Knowledge Discovery : Augment Reality and Virtual Reality Laboratory
Skill Enhancement
: AI Specialist / Open AI and Open CV # : Development Project
VII Semester
Theory
: Compiler Construction : Reinforcement Learning Program Elective – IV Program Elective – V Open Elective – II
Practical
: Natural Language Processing Laboratory : Reinforcement Learning Laboratory
Project Work
: Project Work (Phase - I)
Mandatory Course
: Essence of Indian Traditional Knowledge
VIII Semester
Theory
: Managerial Economics and Financial Analysis Program Elective – VI Open Elective – III
Project Work
: Project Work (Phase - II)

PROGRAM ELECTIVES COURSES (PEC)
Professional Elective – I
: Statistical Foundations of Data Science : Information Retrieval System : Principles of IoT : Cyber Physical Systems : Cognitive Science
Professional Elective – II
: Fundamentals of Block Chain Technology : Computational Intelligence : Human Computer Interaction (UI & UX) : Cloud Computing : Machine Learning for Engineering Applications
Professional Elective – III
: Computer Vision : Expert Systems : Predictive Analytics : Evolutionary Computing : Automated Reasoning and Theorem Proving
Professional Elective – IV
: Ensemble Learning : Bio-Inspired Computing : Software Testing and Automation : Deep Learning : Game Theory
Professional Elective – V
: Big Data Mining : Randomized Algorithms : Augmented Reality & Virtual Reality : Federated Machine Learning : Machine Translation
Professional Elective – VI
: Sequence Models in NLP : Applied Natural Language Processing : Artificial Intelligence in Agriculture : Application of AI in Bioinformatics : Machine Intelligence in Medical Image Analysis

OPEN ELECTIVE COURSES (OEC)
Open Elective – I
: Fundamentals of Artificial Intelligence : Machine Learning Basics
Open Elective – II
: Deep Learning Techniques : Virtual Reality
Open Elective – III
: Knowledge Representation and Reasoning : Artificial Intelligence applications

Artificial Intelligence and Machine Learning

Course Catalog

Outcome Based Education (OBE)

B.Tech Course Catalog - BT23

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