Syllabus & Modal papers
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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