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AICTE Sponsored National Level E-Conference Machine Learning as a Service for Industries (MLSI 2020) on 4th- 5th September 2020

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CMRIT is organizing IEEE international conference on Communication, Computing and Industry 4.0 (C214): 17-18 December 2020

Dr. PN Singh awarded as "Best Professor - Computer Science & Engineering" in "Golden AIM Conference & Awards for Excellence & Leadership in Education and E-learning.

CMRIT stood 27th among the private engineering colleges across India as per EducationWorld (EW) Engineering Institutes Rankings 2020-21.

CMRIT stood 5th in Bengaluru and 8th in Karnataka as per EducationWorld (EW) Engineering Institutes Rankings 2020-21.

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B.E. | Information Science & Engineering

Course Overview | Eligibility Criteria | Course Structure | Evaluation Criteria | Information & Downloads

Course Overview

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.

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.

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.

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:

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

Management and Entrepreneurship for IT Industry
Computer Networks
Database Management System
Automata theory and Computability
Professional Elective-1
Open Elective-1
Computer Network Laboratory
DBMS Laboratory with mini project

VI Semester

Cryptography, Network Security and Cyber Law
File Structures
Software Testing
Operating Systems
Professional Elective-2
Open Elective-2
Software Testing Laboratory
File Structures Laboratory with mini project

VII Semester

Web Technology and its applications
Software Architecture and Design Patterns
Machine Learning
Professional Elective 3
Professional Elective 4
Machine Learning Laboratory
Web Technology Laboratory with mini project
Project Work Phase–I + Project work Seminar

VIII Semester

Internet of Things and Applications
Big Data Analytics
Professional Elective-5
Internship/Professional Practice
Project Work-II Seminar

Electives

Students can choose from the following electives:

Professional Elective-1

Object Oriented Modeling and Design
Social Network Analysis
Advanced JAVA and J2EE
Programming Languages

Open Elective-1

Programming in JAVA (Not for CSE/ISE students)
Artificial Intelligence
Embedded Systems
Dot Net framework for application development
Cloud Computing (Not for CSE/ISE students)

Professional Elective-2

Data Mining and Data Warehousing
System Software
Operations research
Distributed Computing system

Professional Elective-3

Natural Language Processing
Cloud Computing and its Applications
Information and Network Security
Unix System Programming

Open Elective-2

Mobile Application Development
Big Data Analytics (Not for CSE/ISE students)
Wireless Networks and Mobile computing
Python Application Programming
Service Oriented Architecture
Multicore Architecture and Programming

Professional Elective-4

Unix System Programming
Computer Vision and Robotics
Information Management System
Storage Area Networks

Professional Elective-5

High Performance Computing
User Interface Design
Virtual Reality
System Modeling and Simulation

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.