Syllabus
ANDHRA LOYOLA COLLEGE
PROPOSED
COURSE STRUCTURE FOR MASTER OF COMPUTER APPLICATIONS
UNDER CHOICE
BASED CREDIT SYSTEM (CBCS)
W.E.F 2022-23 (R22 Regulations)
I SEMESTER
|
Course
Code |
Course
Name |
Teaching Hours/ week |
CORE
/ IDC/DSE/ SEC/OEC /
MOOCS |
Interna
l Marks |
External
Marks |
No. of
Credit s |
||
|
Lecture |
Practical |
Tutorial |
||||||
|
22MCA101 |
Programming and Problem Solving
using Python |
4 |
0 |
0 |
Core |
50 |
50 |
4 |
|
22MCA102 |
Data Structures |
4 |
0 |
0 |
Core |
50 |
50 |
4 |
|
22MCA103 |
Mathematical and Statistical Foundations |
4 |
0 |
0 |
Core |
50 |
50 |
4 |
|
22MCA104 |
Operating Systems |
4 |
0 |
0 |
Core |
50 |
50 |
4 |
|
22MCA105 COMPULSORY |
Personality
Development through Life Enlightenment
Skills |
3 |
1 |
0 |
Core |
50 |
50 |
3 |
|
22MCA106 |
Data Structures Lab |
0 |
6 |
0 |
Core |
50 |
50 |
3 |
|
22MCA107 |
Python Lab |
0 |
6 |
0 |
Core |
50 |
50 |
3 |
|
22MCA108 |
Soft Skills -GE |
4 |
|
|
|
|
2 |
2 |
|
22MCA109 |
Foundation Course - UNIX |
|
|
|
|
|
2 |
2 |
|
TOTAL
FOR FIRST SEMESTER |
|
|
350 |
350 |
29 |
|||
II SEMESTER
|
Course Code |
Course
Name |
Teaching Hours/ week |
CORE
/ IDC/DSE/ SEC/OEC /
MOOCS |
Internal
Marks |
External
Marks |
No. of Credit s |
||
|
Lecture |
Practical |
Tutorial |
||||||
|
22MCA201 |
Software Engineering and Design Patterns |
4 |
0 |
0 |
Core |
50 |
50 |
4 |
|
22MCA202 |
Database Management Systems |
4 |
0 |
0 |
Core |
50 |
50 |
4 |
|
22MCA203 |
Computer Networks |
4 |
0 |
0 |
Core |
50 |
50 |
4 |
|
22MCA204 COMPULSORY |
Research
Methodology &
IPR |
3 |
1 |
0 |
SEC |
50 |
50 |
3 |
|
DOMAIN
SPECIFIC ELECTIVE COURSES (CHOOSE ANY ONE) |
|
|
|
|
||||
|
22MCA205E1 |
Design and Analysis of Algorithms |
4 |
0 |
0 |
DSE |
50 |
50 |
4 |
|
22MCA205E2 |
Data warehousing and Data Mining |
4 |
0 |
0 |
DSE |
50 |
50 |
4 |
|
22MCA205E3 |
Cloud Computing |
4 |
0 |
0 |
DSE |
50 |
50 |
4 |
|
LAB
PRACTICALS |
|
|
|
|
||||
|
22MCA206 |
Data Mining Lab |
0 |
6 |
0 |
Core |
50 |
50 |
3 |
|
22MCA207 |
Database Management Systems Lab |
0 |
6 |
0 |
Core |
50 |
50 |
3 |
|
22MCA208 |
GENERAL ELECTIVE |
4 |
|
|
|
|
2 |
2 |
|
TOTAL
FOR SECOND SEMESTER |
|
|
350 |
350 |
27 |
|||
 |
IIISEMESTER
|
Course Code |
Course Name |
Teaching
Hours/ week |
CORE / IDC/DSE / SEC/OE C/MOOC S |
Intern
a l Marks |
Extern
al Mark s |
No. of
Credit s |
||
|
Lectu
r e |
Practic
al |
Tutori
al |
||||||
|
22MCA301 |
Data Science |
4 |
0 |
0 |
Core |
50 |
50 |
4 |
|
DOMAIN SPECIFIC ELECTIVE COURSES
(CHOOSE ANY THREE) |
||||||||
|
22MCA302E1 |
Principles of Programming Languages |
4 |
0 |
0 |
DSE |
50 |
50 |
4 |
|
22MCA302E2 |
Artificial Intelligence |
4 |
0 |
0 |
DSE |
50 |
50 |
4 |
|
22MCA302E3 |
Block Chain Technologies |
4 |
0 |
0 |
DSE |
50 |
50 |
4 |
|
22MCA302E4 |
Information Security |
4 |
0 |
0 |
DSE |
50 |
50 |
4 |
|
22MCA302E5 |
Applied Data Analytics |
4 |
0 |
0 |
DSE |
50 |
50 |
4 |
|
22MCA302E6 |
Web Technologies |
4 |
0 |
0 |
DSE |
50 |
50 |
4 |
|
LAB PRACTICALS |
||||||||
|
22MCA303 |
Data Science lab |
0 |
6 |
0 |
Core |
50 |
50 |
3 |
|
22MCA304 |
Web Technologies Lab |
0 |
6 |
0 |
Core |
50 |
50 |
3 |
|
OPEN ELECTIVE
(INTERDISCIPLINARY/MULTIDISCIPLINARY) COURSES (CHOOSE ANY ONE) |
||||||||
|
22MCAOE1 |
R Programming |
3 |
0 |
0 |
OEC |
50 |
50 |
3 |
|
22MCAOE2 |
Mobile Networks |
3 |
0 |
0 |
OEC |
50 |
50 |
3 |
|
22MCAOE3 |
Unix Programming |
3 |
0 |
0 |
OEC |
50 |
50 |
3 |
|
22MCAOE4 |
Office Tools |
3 |
0 |
0 |
OEC |
50 |
50 |
3 |
|
22MCAOE5 |
Python Programming |
3 |
0 |
0 |
OEC |
50 |
50 |
3 |
|
TOTAL FOR III SEMESTER |
350 |
350 |
25 |
|||||
IV SEMESTER
|
Course Code |
Course Name |
Teaching Hours/ week |
CORE / IDC/DSE/ SEC/OEC/ MOOCS |
|
Interna l Marks |
External
Marks |
No. of
Credits |
||
|
Lecture |
Practical |
Tutorial |
|||||||
|
22MCA401 |
Big Data Analytics |
4 |
0 |
0 |
Core |
|
50 |
50 |
4 |
|
DOMAIN SPECIFIC ELECTIVE COURSES
(CHOOSE ANY ONE) |
|
|
|
|
|||||
|
22MCA402E1 |
Dynamic Web programming |
4 |
0 |
0 |
DSE |
|
50 |
50 |
4 |
|
22MCA402E2 |
Fog Computing for IOT |
4 |
0 |
0 |
DSE |
|
50 |
50 |
4 |
|
22MCA402E3 |
Technical Report writing |
4 |
0 |
0 |
DSE |
|
50 |
50 |
4 |
|
22MCA402E4 |
Machine Learning |
4 |
0 |
0 |
DSE |
|
50 |
50 |
4 |
|
LAB
PRACTICALS |
|
|
|
|
|||||
|
22MCA403 |
Big Data Analytics Lab |
0 |
6 |
0 |
Core |
50 |
50 |
3 |
|
ENTREPRENURAL
& INNOVATION/IT SKILL RELATED TO DOMAIN SPECIFIC ELECTIVE COURSES
(CHOOSE ANY ONE)
Note:
Students
may be allowed to register and appear for any Eight Weeks/4 Credits or any Four
Weeks/2 credits MOOC course from the third semester itself. However, students
are to complete the MOOCS successfully and submit pass certificate of the same
to the University through the Principal of the College concerned for approval
and endorsement of the same on grade cards and PCs and ODs as per the
regulations of the
University.
|
22MCA404E1 |
Social Networking |
3 |
0 |
0 |
SEC |
50 |
50 |
3 |
|
|
22MCA404E2 |
Deep Learning |
3 |
0 |
0 |
SEC |
50 |
50 |
3 |
|
|
22MCA404E3 |
NO SQL Databases |
3 |
0 |
0 |
SEC |
50 |
50 |
3 |
|
|
*
CHOOSE MOOCs FROM SWAYAM/NPTEL SOURCES |
|
|
|
|
|
|
|||
|
MOOCS |
|
|
|
|
|
|
4 |
||
|
PROJECT
WORK EVALUATION AND VIVA-VOCE |
|
|
|
|
200 |
12 |
|||
|
TOTAL
FOR IV SEMESTER |
|
|
|
120 |
480 |
30 |
|||
Total number of
credits at the end of course:
|
S.No |
Semester |
Credits |
|
1 |
I Semester |
29 |
|
2 |
II Semester |
27 |
|
3 |
III Semester |
25 |
|
4 |
IV Semester |
30 |
|
|
TOTAL |
111 |
Procedure
for Project Evaluation and Viva-Voce:
The
Project Evaluation and Viva-Voce for 200 marks shall be conducted by a
committee consisting of HOD, Project Supervisor and an External Examiner
nominated by the University. The Internal Evaluation shall be made by the
departmental committee on the basis of a review presentation given by each
student on
the
topic of his/her project.
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