Professional
Proficiency
– I
(It is suggested
to have
Personality
Developme
nt and
Communic
ation Skills
Course)
NUES*
0
2
1
—
—
—
—
Total
23
3
25
Note :
* Non-University Examination System (NUES)
Third Semester
MCA 201
Design and
Analysis of
Algorithms
Core
3
1
4
—
—
—
—
MCA 203
Artificial
Intelligence
and
Machine
Learning
Core
3
1
4
—
—
—
—
MCA 205
Statistics and
Data Analytics
Core
Elective-
II
3
1
4
—
—
—
—
MCA 207
Enterprise
Computing
with JAVA
Core
Elective-
II
—
—
—
—
—
—
—
MCA 209
Natural
Language
Processing
Core
Elective-
II
—
—
—
—
—
—
—
MCA 211
Computer
Graphics
Core
Elective-
II
—
—
—
—
—
—
—
MCA 213
Wireless
Sensor
Networks
Core
Elective-
II
—
—
—
—
—
—
—
MCA 215
Software
Project
Management
Core
Elective-
II
—
—
—
—
—
—
—
MCA 217
Advanced
Computer
Architecture
Core
Elective-
II
—
—
—
—
—
—
—
MCA 219
Distributed
Systems
Core
Elective-
II
—
—
—
—
—
—
—
MCA 221
Applied
Cryptography
Core
Elective-
II
—
—
—
—
—
—
—
MCA 223
Cloud
Computing
Core
Elective-
II
—
—
—
—
—
—
—
MCA 225
e-Business
Systems
Core
Elective-
II
—
—
—
—
—
—
—
MCA 227
Web
Intelligence
and Big Data
Core
Elective-
II
—
—
—
—
—
—
—
MCA 229
Flutter and
Dart
Core
Elective-
II
—
—
—
—
—
—
—
MCA 231
Service
Oriented
Architecture
Core
Elective-
II
—
—
—
—
—
—
—
MCA 233
Multimedia Technologies
Core
Elective-
II
—
—
—
—
—
—
—
MCA 235
Internet of
Things
Core
Elective-
II
—
—
—
—
—
—
—
MCA 237
Soft
Computing
Core
Elective-
II
—
—
—
—
—
—
—
MCA 239
Software
Quality
Management
Core
Elective-
II
—
—
—
—
—
—
—
MCA 241
Digital image
Processing
Core
Elective-
II
—
—
—
—
—
—
—
MCA 243
Compiler
Design
Core
Elective-
II
—
—
—
—
—
—
—
MCA 245
Parallel
Computing
Core
Elective-
II
—
—
—
—
—
—
—
MCA 247
Numerical and
Scientific
Computing
Core
Elective-
II
—
—
—
—
—
—
—
MCA 249
Research
Methodology
Open
Elective –
II
3
1
4
—
—
—
—
MCA 251
Operational
Research
Open
Elective –
II
—
—
—
—
—
—
—
MCA 253
Cyber Security
and Cyber
Laws
Open
Elective –
II
—
—
—
—
—
—
—
MCA 255
e-Content
Development
Open
Elective –
II
—
—
—
—
—
—
—
MCA 261
Design and
Analysis of Algorithms
Lab.
Practical
& Project
0
2
1
—
—
—
—
MCA 263
Artificial
Intelligence
and Machine
Learning Lab.
Practical
& Project
0
2
1
—
—
—
—
MCA 265
Lab. based on
Core Elective-
II
Practical
& Project
0
2
1
—
—
—
—
MCA 267
Lab. based on
Core Elective-
III
Practical
& Project
0
2
1
—
—
—
—
MCA 269
Minor Project-
III
Practical
& Project
0
6
3
—
—
—
—
MCA 271
Entrepreneurs
hip Mindset
(N UES)
NUES*
3
0
3
—
—
—
—
MCA 273
Professional
Proficiency – III
(It is
suggested to
have IPR,
Human Values
and
Professional
Ethics Course)
NUES*
0
2
1
—
—
—
—
Note :
*Non-University Examination System (NUES)
MCA Course / Lab Plans Even AS. 2023-24
Code
Course
Type
L
T/P
Credits
First Shift
Second Shift
Faculty
Div A
Faculty
Div B
Faculty
Div A
Faculty
Div B
Second Semester
MCA 102
Data and
File
Structures
Core
3
1
4
—
—
—
—
MCA 104
Object
Oriented
Software
Engineering
Core
3
1
4
—
—
—
—
MCA 106
Python
Programmin
g
Core
3
1
4
—
—
—
—
MCA 108
Advanced
Database
Management
Systems
Core
Elective
-I
3
1
4
—
—
—
—
MCA 110
Data
Warehousing
and Data
Mining
Core
Elective
-I
—
—
—
—
—
—
—
MCA
122
Mobile
Applications
Design and
Development
Core
Elective
-I
—
—
—
—
—
—
—
MCA 114
Full Stack
Development
Core
Elective
-I
—
—
—
—
—
—
—
MCA 116
Web
Technologies
Core
Elective
-I
—
—
—
—
—
—
—
MCA 118
Theory of
Computations
Core
Elective
-I
—
—
—
—
—
—
—
MCA 120
Software
Testing
Core
Elective
-I
—
—
—
—
—
—
—
MCA 122
Microprocess
ors
Core
Elective
-I
—
—
—
—
—
—
—
MCA 124
Embedded
System
Core
Elective
-I
—
—
—
—
—
—
—
MCA 126
Information
Security
Core
Elective
-I
—
—
—
—
—
—
—
MCA 128
Digital
Marketing
Open
Elective
-I
3
1
4
—
—
—
—
MCA 130
Management
information
System
Open
Elective
-I
—
—
—
—
—
—
—
MCA 132
Management
Principles and
Organizational
Behavior
Open
Elective
-I
—
—
—
—
—
—
—
MCA 134
Finance and
Accounting
Open Elective -I
—
—
—
—
—
—
—
MCA 162
Data and File
Structures Lab.
Practica
l &
Project
0
2
1
—
—
—
—
MCA 164
Object
Oriented
Software
Engineering Lab
Practica
l &
Project
0
2
1
—
—
—
—
MCA 166
Python
Programming
Lab.
Practica
l &
Project
0
2
1
—
—
—
—
MCA 168
Lab. based on
Core Elective-I
Practica
l &
Project
0
2
1
—
—
—
—
MCA 170
Minor Project-II
Practica
l &
Project
0
6
3
—
—
—
—
MCA 172
Environment
Science (NUES)
NUES*
3
0
3
—
—
—
—
MCA 174
Professional
Proficiency – II
(It is suggested
to have
Technical Paper
Writing Course)
NUES*
0
2
1
—
—
—
—
Note :
Non-University Examination System (NUES)
Fourth Semester
MCA 202
Dissertation
(Major
Project)
—
—
—
20
—
—
—
—
MCA 272
One MOOC
Course (from
SWAYAM
Platform)
(NUES)
—
—
—
2
—
—
—
—
MCA 274
Professional
Proficiency –
lV
(Seminar
and
Progress
Report)
—
—
—
4
—
—
—
—
Note :
* Non-University Examination System (NUES) Important Notes:
Institutions shall also be required to facilitate
the non-computer science students for
successfully completing the Bridge Courses
from MOOC platform. If required,
Institution may also conduct make-up classes
or tutorial sessions for such students.
In order to conduct classes for Electives
(Core or Open), there must be a minimum of
20 students in that Elective. However, if the
numbers of students are less than 20 in any
of the Electives (Core or Open), the
elective course may still be offered but no
classes will be held and the students shall be
required to successfully complete that course
from the MOOC using SAWAYAM or other
similar platforms. In that case, students shall
be required to obtain prior approval of the
Programme Co-ordination Committee for
undertaking any course(s) from the MOOC
platforms. Requirement of attendance, to
such students, shall be waived off based
upon the document of having completed
the course from MOOC platforms. MCA-
272 shall also be completed from the MOOC
using SAWAYAM or other similar
platforms, as detailed above. However,
students shall be required to appear for the
examinations conducted by the Institution as
teachers' continuous evaluation to earn these
credits. The MOOC course should have at
least 30 hours of teaching. No direct credit
transfer shall be allowed based upon the
Certificate of having completed these
electives courses from the MOOC platforms.
Detailed modalities of all the NUES Papers
and MCA-202 (Dissertation) related
guidelines for assessment and evaluation
shall be followed as approved by the
Programme Co-ordination Committee. The
dissertation should be oriented towards
socially relevant projects.
The total number of the credits of the MCA
programme= 116.
Each student shall be required to appear for
examinations in all courses. However, for
the award of the degree a student shall be
required to earn the minimum of 104
credits.
Evaluation of Bridge Courses shall be based
in line with NUES mechanism. Institutions
shall send these marks to the University as
NUES Course, based upon the final MOOC
Certificate. Detailed guidelines shall be
approved by the Programme Co-ordination
Committee.
The programme of study shall be governed
by Ordinance 11 of the University.
Passing Marks shall be 40 out of 100
marks for every paper.