B.Tech Artificial Intelligence Syllabus and Subjects

Physics

Newtonian Mechanics and Fluids Properties, Elasticity, Oscillations and Waves, Optics, Electricity, Magnetism, Electromagnetic Induction, etc.

Core

Chemistry

Atomic and Molecular Structure, Spectroscopic Techniques and Applications, Intermolecular Forces and Potential Energy Surfaces, Thermodynamics, Periodic properties, etc.

Core

Basic Electrical and Electronics Engineering

Introduction to Electronics, Transistor and OPAMP, Number System and Logic Gates, Electrical Circuits Analysis, Network theorems, etc.

Core

Fundamentals of Programming Languages

Basics of programming & Introduction to C, The Decision controls and Control structures, Functions, Pointers and Structures, Array & strings, File Handling in C, etc.

Core

Communication Skills

Vocabulary Building, Basic Writing Skills, Identifying Common Errors in Writing, Nature and Style of Sensible Writing, Writing Practices, etc.

Core

Mathematics

Calculus, Sequences and Series, Multivariable Calculus, Matrices, etc.

Core

Problem Solving by Programming

Functions and Modules, Strings, Object Oriented Programming, File Handling and Dictionaries, etc.

Core

Computational Statistics

Basic Probability, Continuous Probability Distributions, Bivariate Distributions, Basic Statistics, Applied Statistics, etc.

Core

General Biology

Classification, Genetics, Biomolecules, Enzymes, Metabolism, etc.

Core

Engineering Graphics and Design

Fundamentals of Engineering Drawing, Engineering Curves, Orthographic Projection, Isometric Projection, Development of Lateral Surfaces, etc.

Core

Engineering Mechanics

Units and Dimensions, Principle of Statics, Free body diagram Equilibrium of concurrent, Frictional Force, Kinematics of linear motion, etc.

Core

Discrete Structure

Sets and Propositions, Relations and Functions, Algebraic Structures, Graph Theory, Trees, etc.

Core

Data Structure and Algorithms

Introduction to Data Structure and Algorithms, Linear Data Structures, Linear Data Structures, Advanced Data Structures, Searching & Sorting Techniques, etc.

Core

Software Engineering and Project Management

Requirements Analysis and Design, Software Project Planning & Management, Project Scheduling, Agile Methodology, Business Continuity & Disaster Management, etc.

Core

Database Management Systems

Introduction to Database, Data Collection, Database Design & SQL, Query Processing and Database Transactions, Concurrency Control, etc.

Core

Universal Human Values-II

Understanding Harmony in the Human Being, Understanding Harmony in the Family and Society, Understanding Harmony in the Nature and Existence, Implications of the above Holistic Understanding of Harmony on Professional Ethics, etc.

Core

Artificial Intelligence

Searching Techniques, Basic Probability Notation, Game Playing, Formalized & Propositional Logic, Knowledge Representation and Expert Systems, etc.

Core

Digital Logic Design and Processor Architecture

Fundamentals of Digital Techniques & Minimization Technique, Combinational circuits, Sequential Circuits Design, Processor Architecture, Parallel Processing, etc.

Core

Computer Networks

Basics of Networks, Physical Layer, Data Link Layer, Network Layer, Transport Layer, etc.

Core

R Programming

Operators, variables in R, Control Statements, Data Types in R, Statistics & Data Visualization, Data and File Handling and SQL, etc.

Core

Foundations of Data Science

Pre-processing & collection of data, Exploratory Data Analytics, Regression & Model Development, Model Evaluation Generalization, Data Visualization, etc.

Core

Big Data Analytics

Big Data Analytics, Hadoop, Hadoop Distributed File System & Map Reduce, Hadoop EcoSystem, The Big Data Technology Landscape & Algorithms, etc.

Core

Machine Learning

Supervised Learning, Unsupervised Learning, Reinforcement Learning, Forecasting and Learning Theory, Neural Networks & Dimensionality Reduction, etc.

Core

Web Technology

Introduction to PHP, HTML Common Tags, Introduction to Servlets, Introduction to JSP, Client-side Scripting, etc.

Core

Design and Analysis of Algorithm

Models and Design, Abstract Algorithms, Complexity Theory, Amortized Analysis, Multithreaded and Distributed Algorithms, etc.

Core

System Modeling and Design

Systems analyst & System Development cycle, System Planning, Systems Design and modeling, Modular and structured design & Object Oriented Analysis, System Implementation and Maintenance & Security, etc.

Elective-I

Internet of Medical Behaviour

IoT Architecture, Sensors and Protocols, Privacy and Security, IoMT Introduction & Healthcare Technologies, Application Design & Case Study, etc.

Elective-I

Skill Enhancement Course-I

Language-I: Foreign Language (French/German/Japanese)/ Hindi/ Marathi

Core

Advanced Databases

Data Storage, Indexing Structures, Query Processing, Query Optimization, Advances in Database Systems, etc.

Core

Deep Learning

Feedforward Networks, Deep Neural Networks, Recurrent Neural Networks, Convolutional Neural Networks & Deep Generative Models, etc.

Core

Machine Learning & Network Security

Anomaly Detection, Malware Analysis, Network Traffic Analysis, Protecting the Consumer Web, Production Systems, etc.

Core

Information Retrieval

Introduction and Basic IR Models, Vector-Space Retrieval & Experimental Evaluation, Query Expansion & Text Representation, Web Search, etc.

Core

Software Architecture

Introduction to Software Architecture, Object-oriented Paradigm, Distributed Architecture, Architecture of User Interface Containers, Aspect Oriented Architectures, etc.

Elective-II

Quantum AI

Fundamental Concepts, Feature Identification, Classification, Neural Networks, Quantum Machine Learning, etc.

Elective-II

Skill Enhancement Course-II

Language-II: (Foreign Language (French/German/Japanese)/ Hindi/ Marathi)

Core

Ethics and Values

Ethical Theories, Professional Ethics, Cyber Ethics, Privacy Concerns, Social Impact of IT, etc.

Core

Robotics and Automation

Direct and Inverse Kinematics, Manipulator differential motion and statics, Path planning, Dynamics and Control, Sensor Integration and Robot Perception, etc.

Elective-III

Cognitive Computing

Foundation of Cognitive Computing, Design Principles for Cognitive Systems, Natural Language Processing in Support of a Cognitive System, Knowledge in Taxonomies and Ontologies, etc.

Elective-III

Skill Enhancement Course-III

Front-end Development with HTML5, CSS3/ Javascript/ ReactJS/ Angular S

Core

Human-Computer Interface

Foundations of HMI, Interaction Design Basics, Graphical User Interface, Screen Designing, Web User Interface, etc.

Elective-IV

Pattern Recognition

Pattern Classifier, Unsupervised Classification, Structural pattern recognition, Feature extraction and selection, Recent Advances, etc.

Elective-IV

Skill Enhancement Course-IV

DevOps/ Cloud (AWS/AZURE)/ Salesforce

Core

Physics

Problem Solving by Programming

Chemistry

Computational Statistics

Basic Electronics and Electrical Engineering

General Biology

Fundamentals of Programming Languages

Engineering Graphics and Design

Communication Skills

Engineering Mechanics

Mathematics

Project-Based Learning – I

-

Workshop and Manufacturing Practices - Laboratory

Discrete Structure

Artificial Intelligence

Data Structures and Algorithms

Digital Logic Design and Processor Architecture

Software Engineering and Project Management

Computer Networks

Database Management Systems

R Programming

Project Based Learning-II

Foundations of Data Science

Universal Human Values-II

-

Big Data Analytics

Advanced Databases

Machine Learning

Deep Learning

Web Technology

Machine Learning & Network Security

Design and Analysis of Algorithm

Information Retrieval

Elective-I

Elective-II

Skill Enhancement Course-I

Skill Enhancement Course-II/ Internship

Ethics and Values

Elective-IV

Elective-III

Skill Enhancement Course-IV

Skill Enhancement Course-III 

Project- II/ Internship

Project- I/ Internship

Fundamentals of Physics

D. Halliday and R. Resnik

Measurement, Motion Along a Straight Line, Vectors, Motion in Two and Three Dimensions, Force and Motion, etc.

Chemistry: Principles and Applications

M. J. Sienko and R. A. Plane

Chemistry and Chemical Nomenclature, Stoichiometry, Periodicity in Chemical Behavior, Internal Structure of Atoms, Molecules and Molecular Structure, etc.

The Complete Reference of C

H. Schildt

Foundational C, The C99 Standard, The C Standard Library, Algorithms and Applications, A C Interpreter, etc.

Higher Engineering Mathematics

Ramana B.V.

Differential and Integral Calculus, Ordinary Differential Equations, Linear Algebra and Vector Calculus, Fourier Analysis and Partial Differential Equations, Complex Analysis, etc.

Engineering Drawing and Design

Jensen, C., Helsel, J. D., Short, D. R

Basic Drawing and Design, Fasteners, Materials, and Forming Processes, Working Drawings and Design, Power Transmissions, Special Fields of Drafting, etc.

Discrete Mathematics and its Applications: with Combinatorics and Graph Theory

Kenneth H. Rosen

The Foundations: Logic and Proofs, Basic Structures: Sets, Functions, Sequences, Sums, and Matrices, Algorithms, Number Theory and Cryptography, Induction and Recursion, etc.

Introduction to Programming using Python

Y Daniel Liang

Introduction to Computers, Programs, and Python, Elementary Programming, Mathematical Functions, Strings, and Objects, Selections, Loops, etc.

Database System Concepts

Abraham Silberschatz, Henry F. Korth, S. Sudarshan

Relational Languages, Database Design, Application Design and Development, Big Data Analytics, Storage Management and Indexing, etc.

Software Engineering

KK. Aggarwal and Yogesh Singh

Software Maintenance, Software Testing, Software Project Planning, Data Flow Diagrams and Context Diagrams, etc.

Artificial Intelligence

Elaine Rich, Kevin Knight

Problems, Problem Spaces, and Search, Heuristic Search Techniques, Knowledge Representation Issues, Using Predicate Logic, Representing Logic using Rules, etc.

Understanding Big Data

Chris Eaton, Dirk DeRoos, Tom Deutsch, George Lapis, Paul Zikopoulos

Big Data, All About Hadoop, InfoSphere BigInsights: Analytics for Big Data at Rest, IBM InfoSphere Streams: Analytics for Big Data in Motion, etc.

Machine Learning

T. Mitchell

Concept Learning and General-to-Specific Ordering, Decision Tree Learning, Artificial Neural Networks, Evaluating Hypothesis, Bayesian Learning, etc.

The Complete Reference PHP

Steven Holzner

Essential PHP, Working with HTML Concepts, String Arrays, Creating Functions, Functions, etc.

Database Management Systems

Raghu Ramakrishnan, Johannes Gehrke

Introduction to Database Systems, The Entity-Relationship Model, The Relational Model,  Relational Algebra and Calculus,  SQL: Queries, Programming, Triggers, etc.

Professional Ethics In Engineering

Dr V Jayakumar and Lakshmi Publications

Human Values, Engineering Ethics, Engineering As Social Experimentation, Safety, Responsibilities And Rights, Global Issues, etc.

Human-Computer Interaction

Alan Dix, Janet Finlay, Gregory Abowd, Russell Beale

The Human, The Computer, The Interaction, Paradigms, Interaction Design Basics, HCI in the Software Process, etc.

Pattern Recognition Principles

J.I. Tou & R.C. Gonzalez

Decision Functions, Pattern Classification by Distance Functions, Pattern Classification by Likelihood Functions, Trainable Pattern Classifiers-The Deterministic Approach, Trainable Pattern Classifiers-The Statistical Approach, etc.

Introduction to Robotics: Mechanics and Control

John J. Craig

Spatial Descriptions and Transformations, Manipulator Kinematics, Inverse Manipulator Kinematics, Jacobians: Velocities and Static forces, Manipulator Dynamics, etc.

Cognitive Computing and Big Data Analytics

Judith H Hurwitz, Marcia Kaufman, Adrian Bowles

The Foundation of Cognitive Computing, Design Principles for Cognitive Systems, Natural Language Processing in Support of a Cognitive System, The Relationship Between Big Data and Cognitive Computing, Representing Knowledge in Taxonomies and Ontologies, etc.