B.E. | Information Science & Engineering

Course Overview

1. What is Information Science and Engineering?
Information Science and Engineering is a discipline which includes theories, standards, methods and innovations of various different domains like mathematics, cognitive science and information theory to solve complex IT problems. Information Science Engineering focuses on collecting, categorizing, strategizing, and storage of information. It also throws light on how to analyze and interpret the raw data. It is an area of professional practice that addresses the effective communication between information in the context of social, organizational, and individual needs in order to build the software or embedded applications for societal benefit.

2. Who should study Information Science and Engineering?
Information Science Engineering is the ideal course for those who like to utilise various theories and innovations to solve complex problems in the IT sector. Information Science and Engineering professionals can contribute in IT and other sectors through analysis, design, development, support and testing of software along with embedded applications.

3. What will I study in this course?
In this course, you will learn how to design, create and implement software applications to solve real-world problems. CMRIT’s ISE course helps you explore concepts such as IoT and its applications, Object Oriented Concepts, Software Testing and more.

4. What are the career opportunities after the completion of this course?/What will I do once I graduate?
The Information Science and Engineering professionals will be able to design, create and implement software applications to solve real-world problems. They use the latest tools and technologies to meet the industry requirements. They can figure out how to evaluate the ethical, legitimate, proficient and social standards of engineering knowledge and practices. ISE professionals can also showcase their expertise in mobile and distributed application development, web/ecommerce development, database administration, computer hardware, networking, education and training and decision support systems using machine learning concepts with the help of latest tools and technologies.

The strength of an IS major lies in his/her ability to apply the knowledge of information systems and technology to help organizations compete more successfully in the marketplace or to streamline current operations.

Programme Duration

Programme Duration
4 years (8 semesters)

Programme Type
Full-time

Eligibility Criteria

The candidate should have passed the 2nd PUC/12th/Equivalent Exam with English as one of the languages and obtained a minimum of 45% of marks in aggregate in Physics and Mathematics along with Chemistry/Biotechnology/Biology/Electronics/Computers (40% for Karnataka reserved category candidates).

Candidate must also qualify in one of the following entrance exams: CET/ COMED-K/JEE/AIEEE

Course Structure

The Information Science Engineering syllabus is as follows:

I & II Semester

  • Calculus and Linear Algebra
  • Engineering Physics
  • Basic Electrical Engineering
  • Elements of Civil Engineering and Mechanics
  • Engineering Graphics
  • Engineering Physics Laboratory
  • Basic Electrical Engineering Laboratory
  • Technical English-I
  • Engineering Chemistry
  • C Programming For Problem Solving
  • Basic Electronics
  • Elements of Mechanical Engineering
  • Engineering Chemistry Laboratory
  • C Programming Laboratory
  • Advanced Calculus and Numerical Methods
  • Technical English-II

III Semester

  • Transform Calculus, Fourier Series and Numerical Techniques
  • Data Structures and Applications
  • Analog and Digital Electronics
  • Computer Organization
  • Software Engineering
  • Discrete Mathematical Structures
  • Analog and Digital Electronics Laboratory
  • Data Structures Laboratory
  • Kannada/Constitution of India, Professional Ethics and Cyber Law

IV Semester

  • Complex Analysis, Probability and Statistical Methods
  • Design and Analysis of Algorithms
  • Operating Systems
  • Microcontroller and Embedded Systems
  • Object Oriented Concepts
  • Data Communication
  • Design and Analysis of Algorithms Laboratory
  • Microcontroller and Embedded Systems Laboratory
  • Kannada/Constitution of India, Professional Ethics and Cyber Law

V Semester

  • Calculus and Linear Algebra
  • Engineering Physics
  • Basic Electrical Engineering
  • Elements of Civil Engineering and Mechanics
  • Engineering Graphics
  • Engineering Physics Laboratory
  • Basic Electrical Engineering Laboratory
  • Technical English-I
  • Engineering Chemistry
  • C Programming For Problem Solving
  • Basic Electronics
  • Elements of Mechanical Engineering
  • Engineering Chemistry Laboratory
  • C Programming Laboratory
  • Advanced Calculus and Numerical Methods
  • Technical English-II

VI Semester

  • Transform Calculus, Fourier Series and Numerical Techniques
  • Data Structures and Applications
  • Analog and Digital Electronics
  • Computer Organization
  • Software Engineering
  • Discrete Mathematical Structures
  • Analog and Digital Electronics Laboratory
  • Data Structures Laboratory
  • Kannada/Constitution of India, Professional Ethics and Cyber Law

VII Semester

  • Complex Analysis, Probability and Statistical Methods
  • Design and Analysis of Algorithms
  • Operating Systems
  • Microcontroller and Embedded Systems
  • Object Oriented Concepts
  • Data Communication
  • Design and Analysis of Algorithms Laboratory
  • Microcontroller and Embedded Systems Laboratory
  • Kannada/Constitution of India, Professional Ethics and Cyber Law

VIII Semester

  • Calculus and Linear Algebra
  • Engineering Physics
  • Basic Electrical Engineering
  • Elements of Civil Engineering and Mechanics
  • Engineering Graphics
  • Engineering Physics Laboratory
  • Basic Electrical Engineering Laboratory
  • Technical English-I
  • Engineering Chemistry
  • C Programming For Problem Solving
  • Basic Electronics
  • Elements of Mechanical Engineering
  • Engineering Chemistry Laboratory
  • C Programming Laboratory
  • Advanced Calculus and Numerical Methods
  • Technical English-II

ELECTIVE

Students can choose from the following electives:

PROFESSIONAL ELECTIVE-1

  • Data Mining and Data Warehousing
  • Object Oriented Modeling and Design
  • Cloud Computing and its Applications
  • Advanced JAVA and J2EE
  • Information Management System

OPEN ELECTIVE-A (NOT FOR CSE / ISE Programmes)

  • Mobile Application Development
  • Introduction to Data Structures and Algorithms
  • Programming in JAVA
  • Introduction to Operating System

PROFESSIONAL ELECTIVE-2

  • Software Architecture and Design Patterns
  • High Performance Computing
  • Advanced Computer Architectures
  • User Interface Design

PROFESSIONAL ELECTIVE-3

  • Digital Image Processing
  • Network management
  • Natural Language Processing
  • Cryptography
  • Robotic Process Automation Design & Development

OPEN ELECTIVE-B (NOT FOR CSE / ISE Programmes)

  • Introduction to Big Data Analytics
  • Python Application Programming
  • Introduction to Artificial Intelligence
  • Introduction to Dot Net framework for Application Development

PROFESSIONAL ELECTIVE-4

  • Mobile Computing
  • Storage Area Networks
  • NoSQL Database
  • Multicore Architecture and Programming

Evaluation Criteria

TESTS

  • The Continuous Internal Evaluation (CIE) is prescribed for maximum of 40 marks. Marks prescribed for test shall be 30 and for assignment is 10. The CIE marks for test in a theory Course shall be based on three tests and generally conducted at the end of fifth, tenth and fourteenth week of each semester. Each test shall be conducted for a maximum of 30 marks and the final marks shall be the average of three tests. However, to support slow learners, improvement tests will be carried out to help them gain the average. The remaining 10 marks shall be awarded based on the evaluation of Assignments/ Unit Tests/ written quizzes that support to cover some of the Course/programme outcomes. Final CIE marks awarded shall be the sum of test marks and assignment marks making a maximum of 40 marks.


  • In the case of Practical, the CIE marks shall be based on the laboratory journals/records (30 marks for continuous evaluation based on conduct of experiment, viva and report writing and one practical test (10 marks) to be conducted at the end of the semester.


  • The IA marks in the case of Mini Project (in 5th Semester), Projects and Seminars in the final year shall be based on the evaluation at the end of 8th semester.

ASSIGNMENTS

  • Assignments are given to students after completion of each unit of the syllabus and comprehensively cover all of the important aspects of each topic in a particular unit.
  • Completing the prescribed assignments will greatly help students prepare for the internal assessments and the final exams. All the assignments will be evaluated and based on the performance of the students marks will be awarded for each course.
  • The Student Assistant for the course will neatly script solutions to assignments, and after due checking and correction by faculty, these solutions will be scanned and made available on the faculty webpage for all students to access and download.

Information & Downloads