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Dept. of Studies in Computer Science

About the Department :     

      The Department of Computer Science was started in the year 2010 and offers post-degree programs. The Department provides a student centric learning environment with well-equipped lab spaces, studio mode classrooms and smart classrooms. The vibrant learning environment is supported by large gathering areas for open houses, department seminars and discussion forums. 

            The Department, in principle, aims to develop research activities all the areas of Computer Science and technology. The Department is making multiyear efforts significantly expanding and building collaborations with industry and academic institutions for teaching, learning and research. The ambition of the department is to provide the quality education and practical training and conduct the research of international standards and repute.

            The curriculum is well designed by Board of Studies (BoS) constituted of experts from academia and industries. The curriculum encompasses core Computer Science courses and facilitates experiential learning. A few courses are co-designed and co-delivered by experts from the industries. The curriculum structure provides opportunity for students to enhance the research skills by providing research problem to solve.  The structure also gives space for developing entrepreneurial skills, by offering projects at knowledge plaza.

            The Department has well experienced faculties with expertise in the areas of Artificial Intelligence, Digital Image Processing, Pattern Recognition, Video and Scene text analysis, the same specialization offered for PhD aspirants. The Department of Computer Science is a hub of activities in the areas of Artificial Intelligence, High Performance Computing (HPC), Cloud Computing and Networking. To enhance the research eco system, state-of-the-art research infrastructure in the above areas has been setup.

           Co-curricular and extra-curricular activities are conducted by the Department to enhance interpersonal and leadership qualities. Students have participated in various national and state level events. 

VISION

The Department should excel and lead the education, research and innovation in computing and information technology, by contributing to the evolving needs of the world we live in.

MISSION

To foster a dynamic academic environment with a cutting-edge curriculum and innovative educational experience to prepare graduates to succeed and lead in-wide range of computing and information technology businesses and occupations.

    • To be at the forefront of research through new and exciting innovations leading to the future of computing technologies.
    • To collaborate within and beyond discipline to create solutions that benefit humanity and society.
    • To seek innovation and excellence in teaching.
    • To encourage and understand the diverse view points and logical thinking.

M.Voc. in Cyber Security

Course Structure:

Ist Semester

IInd Semester

1.

Computer Network and Internet Security

1.

Ethical Hacking

2.

Programming in C

2.

Security of Operating System, Database and Infrastructure

3.

Computer Network and Internet Security Lab

3.

Ethical Hacking Lab

4

Programming in C  Lab

4.

Security of Operating System, Database and Infrastructure Lab

5.

Foundations of Cyber Security and Digital Forensics

5.

Cyber  Security with Cloud Computing

6.

Cyber Law and Indian IT Act

6.

Application Threat Detection

7.

Python Programming for Cyber Security

7.

Cyber Threat and Modelling

8.

Python Programming for Cyber Security Lab

8.

Career Paths in Cyber Security and  Digital Forensics

9.

Cyber Security and Digital Forensics Lab

9.

Cyber Security with Cloud Computing Lab

 

 

10

Cyber Threat and Modelling Lab

 

 

 

 

IIIrd Semester

IVth Semester

1.

Ethical Hacking

1.

Recent Cyber-Security Breaches and Attacks

2.

Security of Operating System, Database and Infrastructure

2.

Fundamentals of Information Assurance/Security

3.

Ethical Hacking Lab

3.

Cyber Security Case Studies Lab

4.

Security of Operating System, Database and Infrastructure Lab

4.

Information Assurance/Security Lab

 

5.

Cyber  Security with Cloud Computing

5.

Artificial Intelligence for Cyber Security

6.

Application Threat Detection

6.

Risk Management and Malware Analysis

7.

Cyber Threat and Modelling

7.

Mobile and Wireless Security

8.

Career Paths in Cyber Security and  Digital Forensics

8.

Mobile and Wireless Security Lab

9.

Cyber Security with Cloud Computing Lab

9.

Major Project

Common Computer Lab :

Common Computer Lab Details : Click Here

Program offered :

Sl.No.

Programmes

Nature and Duration

Eligibility

01

M.Sc in  COMPUTER SCIENCE

Full Time Two years

B.Sc degree with Computer Science  & Mathematics as major /optional Subject or

BCA/BSA degree

02

M.Voc in  CYBER SECURITY

Full Time Two years

B.Sc/BCA/B.Voc/B.Tech/BE in Computer Science/IT/Cyber Security or

Any equivalent degree from recognized universities.

03

PhD. PROGRAM

Full Time/Part-Time

M.Sc/MCA/M.Tech

Course Structure :

Course Structure- W.E.F 2020-2021 :

Ist Semester

IInd Semester

1.

Advanced Data Structures

1.

Operating Systems

2.

Analysis & Design of Algorithms

2.

RDBMS

3.

Data Structures Lab using C

3.

Operating System and Shell Programming Lab

4.

Analysis & Design of Algorithms Lab using C++

4.

RDBMS Lab

Elective Papers

(Students are  permitted to choose any two of the following)

Mandatory Credits: Computer Skill

 

1.

Discrete Mathematics

Elective Papers

(Students are  permitted to choose any two of the following)

2.

Computer Architecture

1.

Digital Communication and Computer Networks

3.

Information Security and Cyber Laws

2.

Internet of Things

4.

Computer Graphics

3.

Artificial Neural Network

Mandatory Credits:

English Language, Communication Skill

4.

Mobile Computing

 

IIIrd Semester

 

IVth Semester

Core Papers

 

Core Papers

1.

Advanced Java Programming

1.

Digital Image Processing

2.

Bigdata Analytics

2.

Research Methodology

3.

Advanced Java Lab

3.

Digital Image Processing Lab

4.

Bigdata Analytics Lab

4.

Major Project

 

Interdisciplinary/Elective Computer Fundamentals

 

 

ELECTIVE PAPERS

(Students are  permitted to choose any two of the following)

ELECTIVE PAPERS

(Students are  permitted to choose any one of the following)

1.

Software Engineering

1.

Theory of Computation

2.

Multimedia and Web Technology

2.

Machine Learning

3.

R-Programming

3.

Pattern Recognition

4.

Internet-Technologies

 

Industrial Visit

 

 

 

Mandatory Credits:

Personality Development

Course Structure- W.E.F 2016-2017 :

 

I Semester

II Semester

Sl. No

Subject Title

Sl. No.

Subject Title

1

Discrete Mathematics

1

Python Application Programming 

2

Digital Logic and Computer Design

2

Database Management Systems

3

Programming with C

3

Operating System Concepts

4

System Software

4

Data Communications and Networks

5

Data Structures

5

Open Elective

6

Problem solving using C Lab.

Computers Concepts and C programming

7

Data Structure  Lab.

6

Python Application Programming Lab. 

8

Self Study:

7

Visual  Programming and DBMS Lab.

1.       Web Technologies 

8

Self-Study:

2.       Java Script

1. Statistical Methods

 

 

2. Graph Theory
       

III Semester

IV Semester

Sl. No.

Subject Title

Sl. No

Subject Title

1

JAVA and J2EE

1

Soft Computing

2

Object Oriented Analysis  and Design using UML

2

Digital Image Processing

3

Data Warehouse and Data Mining

3

Wireless Networks and Mobile Computing

4

Research Methodology

4

Network Security and Management

5

A.      Multimedia Computing

5

A.     Pattern Recognition

B.       Clouds, Grids, and Clusters

B.      Web 2.0 and Rich Internet Applications

6

JAVA and J2EE Lab

6

Digital Image Processing  lab

7

Analysis and Design of Algorithm lab

7

Project/dissertation evaluation

8

Interdisciplinary:

    

Computer concept & c programming

    

Ph.D Course Structure :

Sl.No.

Paper Code

Title of the Paper

1

2

3

1

Ph.D. Paper-1

Research Methodology

2

Ph.D. Paper-2

Cognate Subject

Advanced Data Structure and Algorithms

3

Ph.D. Paper-3

Research Specialization

(choose anyone among below subjects):

        i.            Artificial Intelligence

      ii.            Image Processing and Pattern Recognition

    iii.            Internet of Things

4

Ph.D. Paper-4

Research and Publication Ethics

Faculty Details :

Sl.No

Name

Qualification

Designation

Specialization

01

Dr.Basavanna M

M.Sc.,M.Phil.,

Ph.D

Professor

Digital Image Processing Pattern Recognition and Scene text analysis.

02

Dr.Chandrankant Naikodi

DCS,BE(ISE),ME(IT).,

Ph.D(CSE)

Professor, Chairman

Computer Languages, Adhoc Network Big data, AI Data Base Computer Technology, IoT

03

Sri Kumar Siddamallappa U

B.E.,M.Tech.

Assistant Professor

Computer Science and Engineering

04

Sri Vinay S

MCA.

Assistant Professor

Computer Application

05

Smt Swapna Pavan G

MCA.,LM ISTE.

Assistant Professor

Computer Application

06

Sri Dhanesha R

B.E.,M.Tech.,NET.,KSET., (Ph.D.)

Assistant Professor

Computer Vision, Digital Image Processing and Data Mining.

07

Sri Anup Ritti

B.E,M.Tech.,LM ISTE.

Assistant Professor

Computer Science and Engineering

Research Details :

Ph.D. Guide and Student details :

Sl.No

Name of the guide

Research scholars Name under guide

Register Number of Student

Date of Registration

1.

Dr. Basavanna M

–

 

 

2.

Dr. Chandrankant Naikodi

–

 

 

Papers published : Journals – 33,Books – 06, Patents – 02 (07 Submitted)

Google scholar Link : Click Here

Activities :

Co-curriculum activities :

1. Value Added Course: Click Here

2. Seminars organized

Year

Title of the professional development programme organised for teaching staff

Title of the administrative training programme organised for non-teaching staff

Dates

No. of participants (Teaching staff)

No. of participants (Non-teaching staff)

From

To

2020

Faculty Development Program-2020 Davangere University,

 

-Nil-

 

06-01-2020

 

13-01-2020

 

           129

 

-Nil-

2020

 

Computer Training for Non-Teaching staff

06-03-2020

21-03-2020

0

80

3. Webinars organized

S.No

Department/ Specialization

Invited Scholar /Address

Title of Lecture

Date   of                                 Lecture

01

Computer Science

Mr. Kumar S,

Google India Dataleads

Bangalore

GNI Fact-checking and online verification

30th Jan 2020

02

Computer Science

Dr. Shivakumara P

Associate Professor

Department of Computer System and Technology

(FSKTM), University of Malaya (UM),

Kuala Lumpur-50603, Malaysia, Email: shiva@um.edu.my,

Tel: + 60-129593324 (HP)

Malaysia

How to choose a research problem, generate ideas, and write a tier-1 article

17th Feb 2020

03

Computer Science

Dr. Shivakumara P

Associate Professor

Department of Computer System and Technology

(FSKTM), University of Malaya (UM),

Kuala Lumpur-50603, Malaysia, Email: shiva@um.edu.my,

Tel: + 60-129593324 (HP),

Malaysia

Research & research article preparation in image processing & AI

03rd June 2020

4. Student Project ListClick Here

Project details 2020 – 21 : Click Here