Head of the Department: Prof. Diwakar Shukla

Contact No: 9425437203
Email Id: This email address is being protected from spambots. You need JavaScript enabled to view it., This email address is being protected from spambots. You need JavaScript enabled to view it. 

 

      Computer Science & Applications

Year of Establishment : 1996-1997  (July 1998 -MCA), July 1997-BCA & DCA)

Name of the Head of Department: Prof. Diwakar Shukla

Contact Details: +91-7582-265572, 265399, Res.(HoD) : +91-7582-264449,

      Mob. 9425437203, e-mail : This email address is being protected from spambots. You need JavaScript enabled to view it. , This email address is being protected from spambots. You need JavaScript enabled to view it.

 

  1. Brief Introduction of the Department :

The Department of Computer Science and Applications was established in the academic year 1996-97 with a programme DCA (Diploma in Computer Applications) and BCA (Bachelor in Computer Applications).

In 1998, with the approval of the All India Council of Technical Education (AICTE), the MCA (Master of Computer Applications) programme was started with an intake of 30 students. Initially, the start of these programmes was in a small building near to the university bank and later in 1999, the department has got its own new building with well equipped laboratories, a library, a seminar hall, faculty rooms and lecture halls.

The first batch of MCA students was passed out in 2001 and most of them have been absorbed in the reputed IT, software based companies. Many BCA students of those years have also got jobs immediately after completion of their course. The Ph. D. program started in 2005. Till Jun 2017, more than 1250 students have been obtained their BCA, MCA and Ph.D. Degrees and many of them are now wellplaced. Department offers extension services to other departments of the university and conducts training programs for officers/ employees. Almost all research scholars who obtained Ph.D. degree from this department are employed in government universities, central schools and private engineering colleges as teaching faculties. Department organize workshops for students for increasing their awareness & skill in areas not coverdin syllabus.

 

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  1. (a)  Details of Teaching Faculty      (2017-18)            :

Sl.

No.

Name

Designation

Degree (University /

Institute from which awarded)

Subject Specialization

1.

Prof. Diwakar Shukla

Professor

M.Sc.(Statistics),

 M. Tech. (Computer Science) (DAVV, Indore) Ph.D.(Stat.)(BHU)

Stochastic Modeling of Computer Networks and Operating Systems, Data Mining, Sampling theory, Operations research and Inventory modeling, Graph sampling

2.

Dr. Ranjit Rajak

Assistant Professor

MCA,  M. Tech. (Computer Science), Ph.D. (JNU, New, Delhi)

Scheduling Problem, Parallel & Distributed Computing, Chemical Reaction Optimization (CRO), Genetic Algorithm (GA)

3.

Dr. Girish Kumar Singh

Assistant Professor

M.Sc. (Maths.) (Jamia Millia), M. Tech. (IT) (Tezpur Univ.), Ph.D. (JNU)

Rough Set Theory, Data Mining

4.

Ms. Shrabanti Mandal

Assistant Professor

M. Tech. (Computer Science)  (RGPV, Bhopal)

Clustering, Data Mining, Fuzzy set Theory

5.

Mr. Kamal Kant Ahirwar

Assistant Professor

M. Tech. (Computer Science)  (NIT, Hamirpur)

Adhoc and Wireless Sensor Network, Mobile Computing, Operating System

 

 

  1.  

Sl.

No.

Name

Degree (University /

Institute from which awarded)

Subject Specialization

1.

Mr. Prashant Namdeo

MCA, M. Tech. (Perusing ) (RGPV Bhopal)

Programming  languages

2.

Mr. Gaurav Jain

MCA, MBA

Jawa Programming

 

  1. Student Intake Capacity (PG)                       :           MCA -40,                BCA -60
  2. Number of Teaching and Non Teaching Staff in the department (during 2017-18) :  

Designation

SC

ST

OBC

UR

Total

M

F

M

F

M

F

M

F

M

F

Professor

 

 

 

 

 

 

 

 

 

 

Associate Professor

 

 

 

 

 

 

 

 

 

 

Assistant Professor

2

1

 

 

 

 

1

 

3

1

Technical Assitant

 

 

 

 

 

 

 

 

 

 

LDC

 

 

 

 

 

 

1

 

1

 

MTS

 

 

 

 

1

 

 

 

1

 

 

  1. (a) Details of the Courses (CBCS) conducted by the Department (PG Programme) :

I

Semester

Code

Course Title

Credit

CSA-CC-121

Information Technology

04

CSA-CC-122

Digital System Design

04

CSA-CC-123

Programming and Problem Solving using C

04

CSA-SE-124

Professional Communication

03

CSA-CC-125

Discrete Mathematics

04

CSA-CC-126

Software laboratory  - A

02

CSA-CC-127

Software laboratory  - B

02

II

Semester

Code

Course Title

Credit

CSA-CC-221

Computer Architecture

04

CSA-CC-222

Data Structure

04

CSA-CC-223

Object Oriented Programming using C++

04

CSA-CC-224

Operating System

04

CSA-SE- 225

Organization Behaviour

03

CSA-CC-226

Software laboratory   - A

02

CSA-CC-227

Software laboratory   - B

02

III

Semester

Code

Course Title

Credit

CSA-CC-321

Data Communication and Networking

04

CSA-CC-322

Database Management System

04

CSA-CC-323

Java Programming

04

CSA-CC-324

Design  and Analysis of Algorithm

04

CSA-CC-325

Probability, Statistics and Combinatorics

04

CSA-CC-326

Software laboratory - A

02

CSA-CC-327

Software laboratory- B

02

IV

Semester

Code

Course Title

Credit

CSA-CC-421

Computer Graphics

04

CSA-CC-422

Software Engineering

04

CSA-CC-423

Unix Programming

04

 

Elective I (Opt Any One of Following)

03

CSA-EC-421

Data Warehousing and Data Mining

04

CSA-EC-422

Artificial Intelligence

04

CSA-EC-423

Theory of Computation

04

CSA-EC-424

Decision Support System

04

 

Elective II  (Opt Any One of Following)

 

CSA-EC-425

Parallel Computing

04

CSA-EC-426

Simulation and Modeling

04

CSA-EC-427

Microprocessor

04

CSA-EC-428

Management Information System

04

CSA-CC-424

Software laboratory -  A

02

CSA-CC-425

Software laboratory  - B

02

CSA-SE -426

Industrial Tour / Seminar Participation (Outside Department)/ Minor project/training

02

V

Semester

 

Code

Course Title

Credit

CSA-CC-521

Systems Programming

03

CSA-CC-522

Object Oriented Programming And Design with UML

03

CSA-CC-523

UNIX and Shell Programming

03

 

Elective I (any one of following)

03

CSA-EC-524

Distributed Systems

 

CSA-EC-525

AI and Expert System

 

CSA-EC-526

Multimedia and Web Technology

 

 

Elective II (any one of following)

03

CSA-EC-527

Bio-Informatics

 

CSA-EC-528

Data Mining

 

CSA-EC-529

Mobile Computing

 

 

Software laboratory  (Practicals)

 

CSA-CC-530

Software Laboratory V (a) 

02

CSA-CC-531

Software Laboratory V (b) 

01

VI

Semester

 

Code

Course Title

Credit

CSA-CC-621

Major Project (External) based on Industrial Training 

06

CSA-CC-622

Comprehensive Viva-Voce based on project

15

CSA-CC-623

Seminar on project - topic/others

06

 

(b) Course Conducted by the Department for Ph.D. Programme:

Courses

Code

Course Title

Credits

I

Semester

CSA-CC-141

Research Methodology

4

CSA-CC-142

Data Structure and Algorithms

4

CSA-CC-143

Review of Published research work

4

 

Opt any one of the followings

 

CSA-EC-141

Data Mining

4

CSA-EC-142

Advance Computer Networks

4

CSA-EC-143

Parallel Computing

4

CSA-EC-144

Advance Operating System

4

CSA-EC-145

Graph Theory and Combinatiorics

4

CSA-EC-146

Advanced Pattern Recognition

4

CSA-EC-147

Stochastic Modeling & Simulation

4

CSA-EC-148

Compiler Design

4

 

 

  1. Allied and Cognate Subjects :

Concern Areas

Relevant Areas

Allied Areas

Computer Science

Computing

Physics

Computer Application

Informatics

Electronics

Computer Technology

Cryptography

Mathematics

Computer Engineering

Information Science

Statistics

Information Technology

VLSI (Very Long Scale Int.)

Operations Research

Software Technology

Embedded Systems

System Modeling & Simulation

Computer System

Information Systems

 

Computer Security

Encryption

 

 

 

  1. (a) Student Particulars (Number of Students during 2017-18)  :

Sl.

No.

Courses / Semester

SC

ST

General

OBC

Total

M

F

M

F

M

F

M

F

M

F

1.

MCA - I Semester (July 2017)

0

3

 

 

3

7

4

6

7

16

2.

MCA - II Semester (Jan. 2018)

0

2

 

 

3

7

4

6

7

15

3.

MCA - III Semester (July 2017)

1

4

 

 

4

5

2

6

7

15

4.

MCA - IV Semester (Jan. 2018)

1

4

 

 

4

5

2

6

7

14

5.

MCA - V Semester (July 2017)

1

1

 

 

0

9

5

8

6

18

6.

MCA - VI Semester (Jan. 2018)

1

1

 

 

0

9

5

8

6

18

7.

Ph.D. - I Semester (July 2017)

 

 

 

 

 

 

 

 

 

 

 

(b) Students Support and Progress :

        (i) Total No. of Students (2017-18):

UG

  1.  
  1.  
  •  
  1.  
  1.  
  1.  
  1.  
  1.  
  1.  
  1.  
  1.  

114

40

20

48

3

2

137

90

        (ii) No. of Student outside the state :  07

  1.  

Class

UR

SC

ST

OBC

PC

Total

UG –BCA

44

28

04

78

--

154

PG – MCA

26

10

00

31

01

68

 

 

(c) Annual Average Percentage of Attendance of Students :  85%

  1. Course / Programmewise Distribution of Pass Percentage                      :

Programme/Semester

Registered

Appeared

No. of Pass students

Pass Percentage

M.C.A. Semester I

27

27

22

81.48

M.C.A. Semester III

 

22

20

90.91

 

  1. Details of students who are receiving Fellowship/Financial Support (2017-18) :

Course

Details

SC

ST

OBC

UR

Grand Total

M

F

TT

M

F

TT

M

F

TT

M

F

TT

M

F

TT

PG

MCA (Odd Sem.)

2

8

10

0

0

0

11

20

31

7

21

28

20

49

69

MCA  (Even Sem.)

2

7

9

0

0

0

11

20

31

7

21

28

20

48

68

Ph.D.

MANF Research Fellowship

0

0

0

0

0

0

1

0

0

0

0

0

1

0

1

University Fellowship (UGC)

0

1

0

0

0

0

1

1

0

1

0

0

2

2

4

 

  1. Invited lectures of the external experts organized by the Department          :
  •  

Title of the Activity

Date

Name of the Expert with Place & Institution

1.

In-house Two-days Workshop on “Ethical Hacking”                                                                                                                                                                                                                                         data from Electronic System

07-08 September, 2017

Mr. Oshin Jain (Ethical Hacker)

Bombay

2.

Workshop on “Big-Data and HADOOP Technology”

09 November, 2017

Mr. Love Bhatnagar, Mr. Anidhya Bhatnagar