Diploma Syllabus for Information Science Engineering

Information science in diploma syllabus for 1st, 2nd, 3rd, 4th, 5th, and 6th semester with all subjects. The syllabus has been updated from C-15 to C-20. You can find the new syllabus below. And we also have an old syllabus related to the diploma Information science & engineering courses our site crackexams is provided you with all study materials for engineering students.

You can prepare for the upcoming exams by referring previous year question papers board will repeat some fixed questions in exams and easily get scores in exams by studying Information science & engineering previous question papers

You can prepare for the upcoming exams by referring to the previous year question papers board will repeat some fixed questions in exams and easily get scores in exams by studying Information science previous question papers. Crackexam is an education site where you will get all education-related news and updates with study materials. 

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Information Science Engg. New Syllabus C-20​

SEM 1

EVS

FC

FEEE

IT skills

maths

SEM 2

CAEG DRAWING

ENGLISH

kannada

multimedia

project MANAGEMENT skills

S & A

SEM 3

Computer Hardware, Maintenance and Administration

computer networks

Database System Concepts and PL,SQL

kannada

Python Programming

SEM 4

data structure with Python

indian constitution

Object Oriented Programming and Design with Java

Operating System and Administration

software engineering principles

5th and 6th Semester New Syllabus

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Information Science Engg. Old Syllabus C-15​

SEM 1

Applied science

Engineering math-1

CEEE

BCS LAB

Basic Electronics LAB

Applied Science LAB

SEM 2

basic web designing lab

DCF

DE LAB

ENGG MATHS-2

ENGLISH COMM

MM LAB

SEM 3

Computer networks

DBMS & GUI LAB

LINUX LAB

Operating system

Programming with C

Programming with C lab

SEM 4

ADA LAB

ADA

DS LAB

DS using C

OOP with JAVA LAB

OOP WITH JAVA

PE&IC

SEM 5

DATA MINNING

GC

PLSQL LAB

PP LAB

SE

WEB Programming LAB

WEB Programming

SEM 6

BIG DATA ANALYTICS

CLOUD COMPUTING

IOT

MANAGEMENT INFO SYSTEM

R PROG LAB

ST LAB

ST

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