Gulbarga University, Kalaburagi
Vidyeye Amrutha

Translates as "Education is Nector"

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Computer Science

Department Of P.G. Studies And Research In Computer Science

Department Of P.G. Studies And Research In Computer Science

 

M.Sc. Course Assignments

M.Sc. II Semester M.Sc. IV Semester
HCT 2.1 DAA Assignments HCP 4.1 Web Design Lab Assignments
SCP 2.1 Visual Programming Lab HCP 4.2 Software Engineering Lab Assignments Guide
OEP 2.1 Office Pakage and C Lab SCP 4.5 DIP Lab Assignments
HCP 2.2 DBMS Lab Assignments  

One Day National Seminar on RTICT-2017 - Invitation 

One Day National Seminar on RTICT-2017 - Brochure

 

Courses Offered

CourseIntakeDuration
MCA 45 Six Semesters (3 Years)
M.Sc. in Computer Science 30 + 10 (SSS) Four Semesters (2 Years)
M.Phil. As per University Regulations One year (Full time) 
Two years (Part time)
Ph.D. As per University Regulations As per University Regulations
PG Diploma in Computer Applications 5 + 5 SSS Two Semesters

Eligibility

MCA

Admission is open to Master of Computer Applications Course for all the candidates who have passed a Bachelor Degree of minimum 3 years duration.

Admission to Master of Computer Applications Course shall be open for the candidates who have passed the Bachelor Degree examination with not less than fifty percent of the marks in the aggregate of all the years of the degree examination.

However, in the case of candidates from Karnataka belonging to SC/ST and Category-I, the aggregate percentage of marks of all the years of the qualifying examinations shall not be less than forty-five percent.

Provided candidate shall have passed Bachelors Degree with not less than fifty percent of marks with Mathematics or Statistics or Computer Science or Computer Programming or Computer Applications or Business Mathematics or Business Statistics as one of the optional or electives. However in the case of candidates belonging to SC/ST and Category-I, the aggregate percentage of marks shall not be less than forty five percent.

Provided further that in respect of candidate who was studied and passed one of the subjects specified in the first proviso in the Pre-University Course with fifty percent of marks in that subject shall also be considered for admission. However in the case of candidates belonging to SC/ST and Category-I, forty five percent of marks in that subject shall be considered for admission.

Important Note: The aggregate percentage of marks shall be calculated as the sum of the marks scored by the candidate in all the subjects of all these years/semester of the course of the qualifying examination, divided by the sum of maximum marks of all these subjects of all the years/semesters of the course multiplied by 100.

No rounding off of percentage is permitted. For example: Even if a general merit candidate has an aggregate percentage of marks of 49.99 % the candidate shall not be eligible for the course.

 

M.Sc. in Computer Science

A candidate who has passed any of the following Batchelor's degree examination of this University or any other University recognized as equivalent there to shall be eligible for admission provided he/she has secured at least 50% of the marks in the concerned cognate subjects and also aggregate in all the years of Bachelor's degree course. However, SC/ST and Category-I candidate should have secured at least 45% of marks in the concerned/cognate subject and also in aggregate of all the years of the Bachelor's degree course.

Admission to Master of Computer Applications Course shall be open for the candidates who have passed the Bachelor Degree examination with not less than fifty percent of the marks in the aggregate of all the years of the degree examination.

A) B.Sc. with Computer Science/Information Science/Information Technology as one of the optional subject

B) B.Sc. with Mathematics/Physics/Electronics/Statistics/Instrumentation as one of the optional subject and one year Post Graduate Diploma in Computer Science or Computer Applications (PGDCS/PGDCA) of Gulbarga University or any other University recognized as equivalent there to

C) B.Sc. (Information Science)

D) Batchelor of Computer Science or Computer Applications (B.Sc./BCA)

E) Batchelor of Information or Information Technology (B.I.Sc./BIT)

F) BE/B.Tech. (All Branches)

The merit of the candidate is the aggregate percentage of marks in all the years of Bachelor's degree examination.

 

M.Phil.

A candidate who has passed Master's Degree examination of Gulbarga University or any other University in the concerned or cognate subject considered as equivalent there to securing not less than 55% marks in the aggregate at the Master's Degree course as a whole shall be eligible for admission. However, in case of Teachers with 5 years of teaching experience and candidate belong to SC/ST and Category - I the minimum marks required shall be 50% of the aggregate marks at the Master's Degree examination as a whole.

 

Ph.D.

M.Sc./M.Phil. in Computer Science/MCA.

 

PG Diploma in Computer Applications

A candidate who has passed any of the Bachelor's degree examination of Gulbarga University or any other University recognized as equivalent there to shall be eligible for admission to the first semester of Post Graduate Diploma in Computer Applications (PGDCA) Course.

The candidate eligible above should have secured at least 50% marks in the aggregate of all years of the Bachelor's degree examinations. The minimum percentage of marks for admission shall be relaxed for candidates of SC/ST and other categories as decided by the University.

 

 

Fee Structure: (See Fee Notification)

 

Course Outline (MCA)

I SemesterII Semester
M.C.A. 1.1 (a): Accounting and Financial Management  M.C.A.2.1 Computer Oriented Numerical Methods 
M.C.A. 1.1 (b) Additional Mathematics    
M.C.A. 1.2 Digital Electronics and Computer Organization M.C.A.2.2 Operating System Principles 
M.C.A. 1.3 Discrete Mathematical Structures  M.C.A.2.3 System Software and Compiler Design
M.C.A. 1.4 Computer Oriented Statistical Methods  M.C.A.2.4 Database Management System
M.C.A. 1.5 C and C++ Programming M.C.A.2.5 Data Structures Using C++
M.C.A. 1.6 Programming Laboratory - I C and Statistical Computation Lab. M.C.A. 1.7: Programming Laboratory – II C++  and Digital Electronics Lab.  M.C.A. 2.6 Programming Laboratory – III OS and Numerical computation lab. M.C.A. 2.7: Programming Laboratory – IV Data Structures and DBMS Lab.
III SemesterIV Semester
M.C.A. 3.1 Object Oriented Analysis and Design using UML M.C.A. 4.1 Programming in Java
M.C.A. 3.2 Data Communications and Computer Networks M.C.A. 4.2 Internet Technology and Web Design
M.C.A. 3.3 Database Management System M.C.A. 4.3 Computer Graphics and Animation
M.C.A. 3.4 Design and Analysis of Algorithms M.C.A. 4.4 Organizational Behaviour
M.C.A. 3.5 Visual Programming M.C.A. 4.5 Elective-I*
M.C.A. 3.6 Programming Laboratory – V Computer Networks and Graphics lab. M.C.A. 3.7: Programming Laboratory – VI Visual Programming Lab. M.C.A. 4.6 Programming Laboratory – VIII Software Engineering (Project).
V SemesterVI Semester
M.C.A. 5.1 Artificial Intelligence M.C.A. 6.1 Project work, Seminar and Viva-Voce
M.C.A. 5.2 Internetworking and Web Design    
M.C.A. 5.3 Modeling and Simulation    
M.C.A. 5.4 Data Warehousing and Mining    
M.C.A. 5.5 Elective - II**    
M.C.A. 5.6 Programming Laboratory – IX Client Server (Project) M.C.A. 5.7: Programming Laboratory – X Simulation and AI lab.    
*Elective - I (one of the following)**Elective - II (one of the following)
M.C.A.4.5a Advanced Computer Architecture  M.C.A.5.5a Component Technologies
M.C.A.4.5b Mobile Communications M.C.A.5.5b Neural Networks and Fuzzy Systems
M.C.A.4.5c Embedded Systems M.C.A.5.5c Theory of Computation
M.C.A.4.5d Bioinformatics M.C.A.5.5d Digital Image Processing
M.C.A.4.5e Pattern Recognition  M.C.A.5.5e Distributed Computing
M.C.A.4.5f Microprocessors and Interfacing  M.C.A.5.5f E-Commerce

Course Outline (M.Sc.)

I SemesterII Semester
  Hard Core   Hard Core
HCT 1.1 Digital Logic and Computer Design HCT 2.1 Design and Analysis of Algorithms
HCT 1.2 Mathematical Foundation for Computer Science HCT 2.2 Database Management System
HCT 1.3 Data Structures Using C++    
  Soft Core (Any one)   Soft Core (Any one)
SCT 1.1 Operating System Principles SCT 2.1  System Software
SCT 1.2 Bioinformatics SCT 2.2 Advanced Computer Architecture
  Practical   Open Elective (Any one)
HCP 1.1 Practical – I:   Prolog and Digital Logic Lab. OET 2.1 Introduction to Computers and Programming in C
HCP 1.2 Practical – II:  C++ Lab OET 2.2 Pattern Recognition
HCP 1.3 Practical – III: Data Structures Lab.    
  Soft Core (Any one)   Practical
SCP 1.1 Practical-IV (a): Linux/Unix Lab.   Hard Core
SCP 1.2 Practical-IV (b): Bioinformatics Lab HCP 2.1 Practical-I:  Algorithms Lab.
    HCP 2.2 Practical – II: DBMS Lab.
      Soft Core (Any one)
    SCP 2.1 Practical – III (a): Visual Programming Lab.
    SCP 2.2 Practical – III (b): Computer Architecture Lab
      Open Elective (Any one)
    OEP 2.1 Practical-IV (a): Office Packages and C Lab
    OEP 2.2 Practical-IV (b): Pattern Recognition Lab
III SemesterIV Semester
  Hard Core   Hard Core
HCT 3.1 Programming in JAVA HCT 4.1 Internetworking and Web Design
HCT 3.2 Data Communications and Computer Networks HCT 4.2 Software Engineering
  Soft Core (Any one)   Soft Core (Any one)
SCT 3.1 Computer Graphics SCT 4.1 Artificial Intelligence
SCT 3.2 Neural Networks and Fuzzy Systems SCT 4.2 Data Warehousing and Mining
    SCT 4.3 Mobile Communications
    SCT 4.4 Embedded Systems
    SCT 4.5 Digital Image Processing
  Open Elective (Any one)   Practical
OET 3.1 Information Technology HCP 4.1 Practical-I: Web Design Lab
OET 3.2 Theory of Computation HCP 4.2 Practical-II: Software Engineering Lab
  Practical   Soft Core (Any one)
HCP 3.1 Practical – I:  Java Programming Lab. SCP 4.1 Practical-III (a): Artificial Intelligence Lab
HCP 3.2 Practical – II:  Computer Networks Lab. SCP 4.2 Practical-III (b): Data Warehousing and Mining Lab
    SCP 4.3 Practical-III (c): Mobile Communications Lab
    SCP 4.4 Practical-III (d): Embedded Systems Lab
    SCP 4.5 Practical-III (e): Digital Image Processing Lab
    HCPM 4.3 Major Project (Project Evaluation 72 + Viva Voce 48 + IA 30=150)
  Soft Core (Any one)    
SCP 3.1 Practical – III (a): Computer Graphics Lab.    
SCP 3.2 Practical-III (b): Neural Networks and Fuzzy Systems Lab    
  Open Elective (Any one)    
OEP 3.1 Practical-IV (a): Internet Tools and Web Design Lab    
OEP 3.2 Practical-IV (b): Computational Lab    
*Elective - I (one of the following)**Elective - II (one of the following)
Pr 4.3 A) Design and Analysis of Algorithms Pr 4.4 A) Pattern Recognition
Pr 4.3 B) Compiler Design and Principles of Programming Languages Pr 4.4 B) Digital Image Processing
Pr 4.3 C) Advanced Computer Architecture Pr 4.4 C) Artificial Intelligence and Expert Systems
Pr 4.3 D) Neural Netwoks and Fuzzy Systems Pr 4.4 D) Internet Tools and Java Programming
Pr 4.3 E) Microprocessors and Interfacing Pr 4.4 E) Web Technology and E-Commerce
Pr 4.3 F) Embedded Systems Pr 4.4 F) Virtual Reality

 

Faculty

S. No.Name / Phone No. / E-mailDesignationQualificationSpecialization
1 Sri. Shivanand S Rumma 
+91 (Cell) 
shivanand_sr@yahoo.co.in
Asst. Professor M.C.A, M.Phil., SLET Image Processing, Pattern Recognition, Software Engineering, Bio Informatics and Networking

Associated Faculties
1. Dr. Rajnalker Laxman, Professor, Dept. of Commerce, Gulbarga University, Gulbarga
2. Dr. C.S. Basavaraj, Professor, Dept. of Commerce, Gulbarga University, Gulbarga
3. Dr. Ramesh Agadi, Professor, Dept. of Management, Gulbarga University, Gulbarga
4. Dr. B.Vijay Reader, Dept. of Commerce, Gulbarga University, Gulbarga
5. Dr. Kanahalli B.M., Reader, Dept. of Commerce, Gulbarga University, Gulbarga
6. Dr. R.M. Vani, Tech. Off.-2 USIC, Gulbarga University, Gulbarga
7. Dr. S.S. Nayak, Dept. of Statistics, Gulbarga University, Gulbarga
8. Dr. Sujata S. Inginshetty, Dept. of Statistics, Gulbarga University, Gulbarga
9. Dr. Darley Pattathil, Head, Computer Centre, Gulbarga University, Gulbarga
10. Dr. Iranna Humnabad, System Analyst, Computer Centre, Gulbarga University, Gulbarga

 

Thrust Area

Image Processing, Pattern Recognition, Software Analysis, Computational Fluid Dynamics, Operations Research & Genetics Algorithm.

 

Research Projects

 

Research Publications / Books

1. International
2. National
3. Any others
4. Books

 

Research Guidance

1. Ph.D. - 20
2. M.Phil. - 22

 

Workshops / Seminars / Conferences Organized

 

 

Facilities Available

Well equipped Computer Lab with internet connection, Modern Audio Visual aids and independent Research Lab for M.Phil./Ph.D. students.