Overview

B.Tech Information Science Engineering syllabus focuses on managing information apart from focussing on computational techniques and informational Analysis. The subjects are designed in a sequential order to first enhance the aspirants with basic engineering concepts and move onto applied Information Science engineering in data and information handling. The Information Science syllabus consists of subjects such as:

  • Mathematics
  • Hardware, Operating systems
  • Systems Software
  • Application software
  • Networking, Programming languages
  • Design and analysis of algorithms
  • decision support systems
  • Database Management
  • File Structures
  • ERP (Enterprise Resource Planning)
  • MIS (Management Information System)

Bachelor of Technology (B.Tech) in Information Science Engineering is a four-year undergraduate program that prepares students for careers in the field of information technology. The program focuses on the principles of computer science, data analytics, and data science. Here are some of the core subjects typically covered in a B.Tech Information Science Engineering program:

  1. Mathematics: Calculus, linear algebra, probability theory, and statistics.

  2. Programming Fundamentals: Introduction to programming, algorithms, data structures, object-oriented programming, and software engineering.

  3. Database Management Systems: Database concepts, data modeling, relational databases, and SQL programming.

  4. Computer Networks: Network architecture, protocols, and services.

  5. Operating Systems: Concepts of operating systems, system calls, process management, and memory management.

  6. Web Technologies: HTML, CSS, JavaScript, and server-side programming using languages like PHP, Python, or Java.

  7. Cybersecurity: Introduction to cybersecurity, network security, cryptography, and information security management.

  8. Machine Learning and Artificial Intelligence: Introduction to machine learning algorithms, deep learning, and neural networks.

  9. Data Science: Data mining, data analytics, data visualization, and big data technologies.

  10. Cloud Computing: Cloud computing concepts, services, and architecture.

In addition to the above subjects, students may also be required to complete a project or an internship in their final year to apply their theoretical knowledge to practical applications. The program aims to equip students with the necessary skills and knowledge to design, develop, and maintain information systems and technologies.

Syllabus

      SEMESTER I

                    SEMESTER II

Technical English

Computer-Aided Engineering Drawing

Engineering Mathematics– I

Technical English-2

Engineering Physics

Digital Logic and Microprocessor

Basic Electrical and Electronics Engineering

Engineering Physics

Computer Programming( C/ C++)

Mathematics-2

Computer Programming Laboratory

Application-based Programming in Python

Physics laboratory

Computer-Aided Engineering Drawing Lab

Engineering Mechanics

Digital Logic and Microprocessor

-

Python Programming Laboratory

 

SEMESTER III

SEMESTER IV

Computer Architecture

Design and Analysis of algorithms

Database Management Systems

Graph Theory and Combinatorics

Electronic Circuits

Mathematics-4

Object-Oriented programming

Software Engineering

Mathematics-3

Operating System Principles

Data Structures

Java Programming

Programming Laboratory

Computer Organization

Database Management Systems Laboratory

Design and Analysis of algorithms

Electronic Circuits Laboratory

Computer Lab

 

SEMESTER V

SEMESTER VI

Big Data Technologies

Cryptographic and Network Security

Computer Networks

Web Programming

Automata Theory and Computability

Data Mining

Department elective-1

Department Elective 2

Open Elective 1

Department Elective 3

Financial & Business Analytics

File Structure

Computer Networks lab

Software Testing Lab

Systems Software Laboratory

Web Programming lab

Electives Lab

Computer Networks Lab

Systems Software

-

 

SEMESTER VII

SEMESTER VIII

Information Retrieval and Storage

Department Elective 6

Information Systems

Department Elective 6

Machine Learning

Final Project

Software Architecture

Comprehensive Viva Voce

Department Elective 4

-

Department Elective 5

-

Software Architecture Lab

-

Machine Learning Lab

-

Electives Laboratory

-

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