Professional
Proficiency
– I
(It is suggested
to have
Personality
Developme
nt and
Communic
ation Skills
Course)
NUES*
0
2
1
Ms. Bharti Aggarwal
NA
NA
Total
23
3
25
Note :
* Non-University Examination System (NUES)
Third Semester
MCA 201
Design and Analysis of Algorithms
Core
3
1
4
Ms. Deepak Rathore
NA
NA
MCA 203
Artificial Intelligence and Machine Learning
Core
3
1
4
Dr. Rajesh Kumar
NA
NA
MCA 205
Statistics and Data Analytics
Core Elective – II
3
1
4
Not Opted
NA
NA
MCA 207
Enterprise Computing with JAVA
Core Elective – II
—
—
—
Not Opted
NA
NA
MCA 209
Natural Language Processing
Core Elective – II
—
—
—
Not Opted
NA
NA
MCA 211
Computer Graphics
Core Elective – II
—
—
—
Not Opted
NA
NA
MCA 213
Wireless Sensor Networks
Core Elective – II
—
—
—
Not Opted
NA
NA
MCA 215
Software Project Management
Core Elective – II
—
—
—
Ms. Bharti Aggarwal
NA
NA
MCA 217
Advanced Computer Architecture
Core Elective – II
—
—
—
Not Opted
NA
NA
MCA 219
Distributed Systems
Core Elective – II
—
—
—
Not Opted
NA
NA
MCA 221
Applied Cryptography
Core Elective – II
—
—
—
Not Opted
NA
NA
MCA 223
Cloud Computing
Core Elective – II
—
—
—
Not Opted
NA
NA
MCA 225
e-Business Systems
Core Elective – II
—
—
—
Not Opted
NA
NA
MCA 227
Web Intelligence and Big Data
Core Elective – II
—
—
—
Not Opted
NA
NA
MCA 229
Flutter and Dart
Core Elective – II
—
—
—
Dr. Sushma Bahuguna
NA
NA
MCA 231
Service Oriented Architecture
Core Elective – II
—
—
—
Not Opted
NA
NA
MCA 233
Multimedia Technologies
Core Elective – II
—
—
—
Not Opted
NA
NA
MCA 235
Internet of Things
Core Elective – II
—
—
—
Not Opted
NA
NA
MCA 237
Soft Computing
Core Elective – II
—
—
—
Not Opted
NA
NA
MCA 239
Software Quality Management
Core Elective – II
—
—
—
Not Opted
NA
NA
MCA 241
Digital image
Processing
Core Elective – II
—
—
—
Not Opted
NA
NA
MCA 243
Compiler Design
Core Elective – II
—
—
—
Not Opted
NA
NA
MCA 245
Parallel
Computing
Core
Elective-
II
—
—
—
Not Opted
NA
NA
MCA 247
Numerical and Scientific Computing
Core Elective-II
—
—
—
Not Opted
NA
NA
MCA 249
Research Methodology
Open Elective –II
3
1
4
Not Opted
NA
NA
MCA 251
Operational Research
Open Elective – II
—
—
—
Not Opted
NA
NA
MCA 253
Cyber Security and Cyber Laws
Open Elective –II
—
—
—
Not Opted
NA
NA
MCA 255
e-Content
Development
Open Elective –II
—
—
—
Ms. Sumita Thukral
NA
NA
MCA 261
Design and
Analysis of Algorithms
Lab.
Practical
& Project
0
2
1
Ms. Deepak Rathore
NA
NA
MCA 263
Artificial Intelligence and Machine Learning Lab.
Practical & Project
0
2
1
Dr. Rajesh Kumar
NA
NA
MCA 265
Lab. based on Core Elective-II
Practical & Project
0
2
1
Ms. Bharti Aggarwal
NA
NA
MCA 267
Lab. based on Core Elective-III
Practical & Project
0
2
1
Dr. Sushma Bahuguna
NA
NA
MCA 269
Minor Project-III
Practical & Project
0
6
3
Dr. Sushma Bahuguna
NA
NA
MCA 271
Entrepreneurship Mindset (NUES)
NUES*
3
0
3
Mr. Kuldeep
NA
NA
MCA 273
Professional Proficiency – III (It is suggested to have IPR, Human Values and Professional Ethics Course)
NUES*
0
2
1
Ms. Bharti Aggarwal
NA
NA
Note :
*Non-University Examination System (NUES)
MCA Course / Lab Plans Even AS. 2024-25
Code
Course
Type
L
T/P
Credits
First Shift
Faculty
Div A
Faculty
Div B
Second Semester
MCA 102
Data and File Structures
Core
3
1
4
Ms. Bharti Aggarwal
NA
NA
MCA 103
Object Oriented Software Engineering
Core
3
1
4
Mr. Suresh Panchal
NA
NA
MCA 106
Python Programming
Core
3
1
4
Ms. Arnima Pathak
NA
NA
MCA 108
Advanced Database Management Systems
Core-Elective
3
1
4
Not Opted
NA
NA
MCA 110
Data Warehousing and Data Mining
Core-Elective
3
1
4
Not Opted
NA
NA
MCA 110
Mobile Applications Design and Development
Core-Elective
3
1
4
Not Opted
NA
NA
MCA 114
Full Stack Development
Core-Elective
3
1
4
Dr. Sushma Bahuguna
NA
NA
MCA 116
Web Technologies
Core-Elective
3
1
4
Not Opted
NA
NA
MCA 118
Theory of Computations
Core-Elective
3
1
4
Not Opted
NA
NA
MCA 120
Software Testing
Core-Elective
3
1
4
Not Opted
NA
NA
MCA 122
Microprocessors
Core-Elective
3
1
4
Not Opted
NA
NA
MCA 124
Embedded System
Core-Elective
3
1
4
Not Opted
NA
NA
MCA 126
Information Security
Core-Elective
3
1
4
Not Opted
NA
NA
MCA 128
Digital Marketing
Open-Elective
3
1
4
Not Opted
NA
NA
MCA 130
Management information System
Open-Elective
3
1
4
Not Opted
NA
NA
MCA 132
Management Principles and Organizational Behavior
Open-Elective
3
1
4
Not Opted
NA
NA
MCA 134
Finance and Accounting
Open-Elective
3
1
4
Not Opted
NA
NA
MCA 162
Data and File Structures Lab.
Practical & Project
0
2
1
Not Opted
NA
NA
MCA 164
Object Oriented Software Engineering Lab
Practical & Project
0
2
1
Not Opted
NA
NA
MCA 166
Python Programming Lab.
Practical & Project
0
2
1
Not Opted
NA
NA
MCA 168
Lab. based on Core Elective-I
Practical & Project
0
2
1
Not Opted
NA
NA
MCA 170
Minor Project-II
Practical & Project
0
6
3
Not Opted
NA
NA
MCA 172
Environment Science (NUES)
NUES*
3
0
3
Not Opted
NA
NA
MCA 174
Professional Proficiency – II (It is suggested to have Technical Paper Writing Course)
NUES*
0
2
1
Not Opted
NA
NA
Note :
Non-University Examination System (NUES)
Fourth Semester
MCA 202
Dissertation (Major Project)
NUES*
0
2
1
Not Opted
NA
NA
MCA 272
One MOOC Course (from SWAYAM Platform) (NUES)
NUES*
0
2
1
Not Opted
NA
NA
MCA 274
Professional Proficiency – lV(Seminar and Progress Report)
NUES*
0
2
1
Not Opted
NA
NA
Total
23
3
25
Note :
*Non-University Examination System (NUES)
As mandated by the statutory bodies, every student shall be given 03 weeks induction training
in the beginning of the first semester. Detailed guidelines for the same shall be finalized
through Programme Co-ordination Committee.
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.
As mandated by the statutory bodies, every student shall be given 03 weeks induction training
in the beginning of the first semester. Detailed guidelines for the same shall be finalized
through Programme Co-ordination Committee.
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
As mandated by the statutory bodies, every student shall be given 03 weeks induction training
in the beginning of the first semester. Detailed guidelines for the same shall be finalized
through Programme Co-ordination Committee.