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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