Course Details

M.C.A

Ph.D.

Contact:

The Chairman

Department of Computer Science
Mangalore University
Mangalagangotri - 574 199.
Phone : 91-824-2287670
E-mail: Computerscience@mangaloreuniversity.ac.in

Course Details:

Vision and Mission of the Department:

The Department of Computer Science was established in 1992 to cater higher education in Master of Computer Science and applications. The Department of Computer Science has a vision and believes that Computer Science is a rapidly evolving discipline directly or indirectly affecting many other disciplines including Science and Engineering, Arts, Business, etc. It is important that the faculty can contribute to Computer Science in a way that the faculty and students can devote themselves to take the maximal advantage of modern Computer Science to solve a wide range of complex scientific, technological and social problems. The department continues promoting innovative research and education programs in the core Computer Science as well as multidisciplinary application areas. The department focus areas include Image Processing and Visual Pattern Recognition; Ontology based text mining, Data Mining & Knowledge Discovery, Advanced Computer Networks (Mobile and Wireless Communication and Wireless Sensor Networks), Grid and Cloud Computing and Image Processing and Pattern Recognition. By selecting these contemporary and still maturing areas and complement the skills of existing department faculty based on the funding and also achieving critical mass through new hires in these areas, it will have an immediate impact on the department's competitiveness for more federal funding and ability to achieve national prominence.

The mission of the Department of Computer Science is to achieve national prominence by providing outstanding education and research training to our graduate students for their productive careers in industry, academia, and government. The department strives for excellence in research, teaching and service covering the fundamental as well as applied aspects of Computer Science. The department faculty will establish nationally and internationally recognized research programs, including those of interdisciplinary nature, and actively engage the students in the research to provide broad educational and research experiences for them both in and out of the classroom. The faculty will help the students to develop their skills to solve the complex technological problems of modern society and also provide a framework for promoting collaborative and multidisciplinary activities.

Chairman of the Department

Dr. Manjaiah D. H, M.Tech.,Ph.D.,

Chairman,
Post-Graduate Department of Studies and Research in Computer Science

Mangalore University ,

Mangalagangotri - 574 199.
Phone : 91-824-2287670
E-mail: computerscience@mangaloreuniversity.ac.in

Staff of the Department:

i . Teaching staff as per seniority:

*Name*	*Designation*	*Qualification*	*Field of Specialization*	*Contact e-mail id*
Dr. Manjaiah D. H	Associate Professor	B.E. M.Tech., Ph.D.	Advanced Computer Networks, Grid & Cloud Computing Mobile & Wireless Communication Wireless Sensor Networks	manju@mangaloreuniversity.ac.in ylm321@yahoo.co.in
Dr. Doreswamy	Associate Professor	M.Sc.,Ph.D.	Database Systems, Data Mining and Knowledge Discovery, Data Structure and Algorithms	dore@mangaloreuniversity.ac.in doreswamyh@yahoo.com
Dr. B.H. Shekhar	Associate Professor & Chairman	M.Sc.,Ph.D.	Databases, Design and Analysis of Algorithms, Image Processing Pattern Reorganization	bhshekar@yahoo.com
Dr. H.L. Shashirekha	Associate Professor	M.Sc.Ph.D.	Operating System, Systems Software, Data Structures	hlsrekha@yahoo.com

ii. Non-Teaching Staff:

SL.No.	Name of Faculty	Designation
01	Sri. Lingaraju C	Workshop Mechanic
02	Sri. Boja	Attender

Courses offer:

i. Master of Science (Computer Science) / M.Sc(Computer Science) under Choice Based Credit System (CBCS)

General Category Intake : 22 (General Category) + 03 (Extra Seats)

Partially Self Financing Scheme Intake : 20 Seats

Duration of the course : 2 Years (Four Semesters)

Eligibility: Candidates who have passed any of the following Bachelor Degrees from Mangalore University or any other University considered as equivalent thereto are eligible for the programme provided they have secured a minimum of 45% (40% for SC/ ST/ Category - I ) aggregate marks excluding languages and group III subjects.

B.Sc. degree with Computer Science/ Computer Applications (vocational) as optional/ major/ subsidiary subjects or B.Sc.(Hons) degree with Computer Science/ Computer Systems/ Information Science/ Information Systems or B.Sc. degree with Mathematics / Statistics / Physics / Electronics / Instrumentation as optional/ major/ subsidiary along with P.G.Diploma in Computer Applications / Computer Science/ Information Technology or Bachelor of Computer Applications (BCA) or Bachelor of Computer Science (BCS) (Integrated Course) or Bachelor of Information Technology (BIT) or Bachelor of Information Science (BAS) or Bachelor of Engineering (BE) / Bachelor of Technology (BTech).

Selection of the candidate shall be on merit - cum – reservation on the basis of 50:50 weight ages for marks in the Entrance and Qualifying examinations.

M.Sc Course Fee :

	General Category		Partial Self Financing Category
Particulars	General Category	SC/ST/ Category-I	General Category	SC/ ST/ Category-I
Tuition Fee in Rs.	10,570.00	1,600.00	10,570.00	1,600.00
Special fee in Rs.	6,000.00	3,000.00	29,000.00	14,500.00
Total	16,570.00	4,600.00	39,570.00	16,100.00

SCHEME OF THE MSc (Computer Science) Course

FIRST SEMESTER M.Sc(Computer Science)
Subject Code	Subject	Theory Hours/ Week	Practical Hours/ Week	Duration of exams (Hrs)	Marks & Credits
Subject Code	Subject	Theory Hours/ Week	Practical Hours/ Week	Duration of exams (Hrs)	IA	Exam	Total	Credits
CS-401	Foundations of Computer Science	4	-	3	30	70	100	4
CS-402	Data Structures and Algorithms	4	-	3	30	70	100	4
CS-403	JAVA Technology	4	-	3	30	70	100	4
CS-404	Data Communications and Computer Networks	4	-	3	30	70	100	4
CS-405	Computer Organization and Architecture	4	-	3	30	70	100	4
CS-406	Data Structures Lab	-	6	4	25	50	75	3
CS-407	Java Technology Lab	-	6	4	25	50	75	3
	Total Semester	20	12	23	200	450	650	26

SECOND SEMESTER M.Sc(Computer Science)
Subject Code	Subject	Theory Hours/ Week	Practical Hours/ Week	Duration of exams(Hrs)	Marks & Credits
Subject Code	Subject	Theory Hours/ Week	Practical Hours/ Week	Duration of exams(Hrs)	IA	Exam	Total	Credits
CS-451	Operating Systems Concepts	4	-	3	30	70	100	4
CS-452	System Software	4	-	3	30	70	100	4
CS-453	Database Management Systems	4	-	3	30	70	100	4
CS-454	Computer Graphics and Multimedia	4	-	3	30	70	100	4
CS-455	Elective-I(E1-E5)	4	-	3	30	70	100	4
CS-456	Operating Systems Lab	-	6	4	25	50	75	3
CS-457	DBMS Lab	-	6	4	25	50	75	3
	Total Semester	20	12	23	200	450	650	26

THIRD SEMESTER M.Sc(Computer Science)
Subject Code	Subject	Theory Hours / Week	Practical Hours / Week	Duration of exams (Hrs)	Marks & Credits
Subject Code	Subject	Theory Hours / Week	Practical Hours / Week	Duration of exams (Hrs)	IA	Exam	Total	Credits
CS-501	Fundamentals of Information Technology	4	-	3	30	70	100	4
CS-502	Software Engineering	4	-	3	30	70	100	4
CS-503	Analysis and Design of Algorithm	4	-	3	30	70	100	4
CS-504	.NET Technology	4	-	3	30	70	100	4
CS-505	Elective II(E1-E5)	4	-	3	30	70	100	4
CS-506	.NET Programming Lab	-	6	4	25	50	75	3
CS-507	Mini Project & Domain Knowledge Seminar	-	6	--	75	--	75	3
	Total	20	12	23	250	400	650	26

Elective Subjects in SECOND and THIRD Semesters
CS-455	:	Elective-I	CS-505	:	Elective-II
E1	:	Embedded Systems	E1	:	Object-Oriented Data Modeling Using UML
E2	:	Soft Computing Paradigms	E2	:	Image Processing
E3	:	Mobile and Wireless Communications	E3	:	Bioinformatics
E4	:	Linux Environment Systems	E4	:	Data Mining Techniques
E5	:	Molecular Modeling and Simulation	E5	:	Advanced Computer Networks

FOURTH SEMESTER M.Sc(Computer Science)
Subject Code	Subject	Theoretical Explanation /Demonstration/Week	Practical Hours/ Week	Duration of exams (Hrs)	Marks & Credits
					IA	Dissertation+ Viva Exam	Total	Credits
CS-551	Project Work and Internal Assessment Either at Company / University	4	36	-	150	300 + 100	550	22
Grand Total Marks Of All The Four Semesters							2500
Grand Total Credits Of All The Four Semesters								100

ii. Master of Computer Applications (MCA):

Intake : 60 (Government Category) , Duration of the course: 3 years( 6 semesters)

Eligibility:

Admission is open to Master of Computer Applications Course (M.C.A.) for all the candidates who have passed a Bachelor Degree of Minimum 3 - Years examination or equivalent examination with Mathematics or Statistics or Computer Science or Computer Applications or Business Mathematics or Business Statistics as one of the optional subjects and obtained an aggregate minimum of 50% marks taken together in all the subjects for all the years is eligible for MCA course, 45% marks in Qualifying Examination (Q.E.) in case of SC, ST and Category - I candidates.

Provided in respect of candidate who has studied and passed one of the subjects specified above in Pre - University Courses with fifty percent of marks in that subject shall also be considered for admission, 45% of marks in Qualifying Examination (Q.E), in case of SC, ST and Category - I candidates.

Not only a candidate who has passed the qualifying examination (Q.E.) with requisite marks but also a student who has appeared for the Q.E. and who is expecting the results is also eligible to apply for the Common Entrance Test.

MCA course seat selection based on merit rank list through PGCET examination, conducted by Karnataka Examination Authority. Govt. of Karnataka, Bangalore.

MCA Course Fee:

Particulars	General Merit	SC/ST/Category-I
Tuition Fee in Rs.	30,000.00	15,000.00
University Fee in Rs.	11,320.00	1,600.00
Total	41,320.00	16,600.00

Revised syllabus and scheme of Master of Computer Applications

(Effect from 2008 - 09 and Onwards)

I Semester

Sl. No.	Subject Code	Subject	No. of hrs per Week		Exam duration (Hours)	Marks		Total
Sl. No.	Subject Code	Subject	Theory	Lab	Exam duration (Hours)	Internal Asst.	University Exam	Total
1.	MCA-101	Digital Computer Fundamentals	4	-	3	25	75	100
2.	MCA-102	Programming in C	4	-	3	25	75	100
3.	MCA-103	Financial & Cost Accounting for Management	4	-	3	25	75	100
4.	MCA-104	Numerical Algorithms	4	-	3	25	75	100
5.	MCA-105	Discrete Mathematics	4	-	3	25	75	100
6.	MCA-106	C – Programming & Numerical Algorithms Lab	-	4	3	25	50	75
7.	MCA-107	Digital Computer and Information Technology Lab	-	4	3	25	50	75
Total			20	8	-	175	475	650

II Semester

Sl. No.	Subject Code	Subject	No. of hrs per Week		Exam duration (Hours)	Marks		Total
Sl. No.	Subject Code	Subject	Theory	Lab	Exam duration (Hours)	Internal Asst.	University Exam	Total
1.	MCA-201	Microprocessors & Computer Architecture	4	-	3	25	75	100
2.	MCA-202	Data Communications	4	-	3	25	75	100
3.	MCA-203	Operating Systems	4	-	3	25	75	100
4.	MCA-204	Object Oriented Programming Using C++	4	-	3	25	75	100
5.	MCA-205	Data Structures and Algorithms	4	-	3	25	75	100
6.	MCA-206	OOP & Data Structure Lab.	-	4	3	25	50	75
7.	MCA-207	Microprocessor and Operating Systems Lab	-	4	3	25	50	75
Total			20	8	-	175	475	650

III Semester

Sl. No.	Subject Code	Subject	No. of hrs per Week		Exam duration (Hours)	Marks		Total
Sl. No.	Subject Code	Subject	Theory	Lab		Internal Asst.	University Exam
1.	MCA-301	Database Management Systems	4	-	3	25	75	100
2.	MCA-302	Visual Programming Technologies	4	-	3	25	75	100
3.	MCA-303	Computer Networks	4	-	3	25	75	100
4.	MCA-304	Software Engineering	4	-	3	25	75	100
5.	MCA-305	Operations Research	4	-	3	25	75	100
6.	MCA-306	DBMS & Visual Programming Lab	-	4	3	25	50	75
7.	MCA-307	Computer Networks & Software Engineering Lab.	-	4	3	25	50	75
Total						175	475	650

IV Semester

Sl. No.	Subject Code	Subject	No. of hrs per Week		Exam duration (Hours)	Marks		Total
Sl. No.	Subject Code	Subject	Theory	Lab	Exam duration (Hours)	Internal Asst.	University Exam	Total
1.	MCA-401	Computer Graphics and Multimedia	4	-	3	25	75	100
2.	MCA-402	Internet Tools and Web Technology	4	-	3	25	75	100
3.	MCA-403	Compiler Construction	4	-	3	25	75	100
4.	MCA-404	Distributed Computing	4	-	3	25	75	100
5.	*MCA-405*	*Elective - I*	4	-	3	25	75	*100*
6.	MCA- 406	Computer Graphics and Internet Technology Lab	-	4	3	25	50	75
7.	MCA- 407	Compiler Construction and Distributed Computing Lab	-	4	3	25	50	75
8	MCA - 408	Mini Project and Domain Knowledge Seminar	1	-	-	50	-	50
Total						225	475	700

List of Electives:

1. MCA-405 (E1): Bioinformatics

2. MCA-405 (E2): Network Programming

3. MCA-405 (E3): Image Processing

4. MCA-405 (E4): Systems Administration

5. MCA-405 (E5): Artificial Intelligence

6. MCA-405 (E6): Soft Computing Paradigm

V Semester

Sl. No.	Subject Code	Subject	No. of hrs per Week		Exam duration (Hours)	Marks		Total
Sl. No.	Subject Code	Subject	Theory	Lab	Exam duration (Hours)	Internal Asst.	University Exam	Total
1.	MCA-501	Mobile Communication	4	-	3	25	75	100
2.	MCA-502	Advanced Database Management Systems	4	-	3	25	75	100
3.	MCA-503	Data Mining Techniques	4	-	3	25	75	100
4.	MCA-504	.Net Technologies	4	-	3	25	75	100
5.	*MCA-505*	*Elective - II*	4	-	3	25	75	*100*
6.	MCA-506	Data Mining Lab	-	4	3	25	50	75
6.	MCA-507	.Net Technologies Lab	-	4	3	25	50	75
7.	MCA-508	Mini Project and Domain Knowledge Seminar	1	-	-	50	-	50
Total			21	8	-	225	475	700

List of Electives:

MCA – 505( E 1) : E-commerce
MCA – 505 ( E2) : Pattern Recognition
MCA – 505 ( E3) : Parallel Processing and Advanced Computer Architecture
MCA – 505 ( E4) : Embedded Systems
MCA – 505( E5) : Decision Support Systems
MCA - 505 (E6) : Cryptography and Network Security
MCA – 505 (E7) : Data Storage Technology

VI Semester:

Project Dissertation valuation

(Average of both Internal & External Guide)

Viva-Voce

Exam.

Total

Marks

300

100

400

iii. Master of Philosophy (M.Phil):

This program has started from the academic year 2008-09.

Intake : One candidate per guide.

Duration : 12 months for full time candidates and 18 months for part time candidates.

Eligibility for admission:

a. A candidate holding master’s degree of this University or a Master’s degree of any other University recognized by this University as equivalent to thereto with a minimum of 55%(50% in the case of SC/ST) or an equivalent grade shall be eligible for admission to the programme. Candidates holding masters degree in a related filed, as may be decided by the department of studies may also be considered for admission.

b. There shall be entrance test to the M.Phil programme. The List of candidates shall be prepared on the basics of the performance of the candidates in the entrance test and their marks in the qualifying examinations. Each getting an equal weightage.

c. The candidate shall enroll either on part time or full time basis.

M.Phil., Course Fee:

Particulars	General Category	SC/ST/Category-I
Tuition Fee in Rs.	10000.00	5000.00
University Fee in Rs.	9520.00	4760.00
Total	19520.00	9760.00

The scheme of this course is as follows :

Paper Code & Subject	Hrs. per week	Duration of Exams	Marks
Paper Code & Subject	Theory /Practical.	Theory/ Practical.	I.A	Exam	Total
MPLCS-1 Research Methodology	04	03	20	80	100
MPLCS-2:Theoritaical Foundations	04	03	20	80	100
MPLCS-3:Recent Developments	04	03	20	80	100
Total Marks					300

II Semester

MPLCS-4: Dissertation
Dissertation	250
Viva-Voce	50

IV. Doctor of Philosophy (Ph.D):

This research programme in Computer Science was started in the year 2003-04, at present three guides have been recognized in the specialization areas of Data Mining & Knowledge Discovery, Advanced Computer Networks (Mobile & Wireless Communication and Wireless Sensor Networks) and Grid & Cloud Computing, Image Processing & Pattern Reorganization around 11 – Candidates are working under the respective research area of specializations. All domains having their own Financial Support for successful completion and meet the objectives of the research work from the Govt. funding agencies like UGC, DST. Remaining 13 – vacancy seats admission is under process according to meet the norms of UGC. Department has got around Rs.44,30,280/- research grants from UGC and DST funding agency.

5. Facility available in the department:

The Department is equipped with three different laboratories to cater the needs of the today’s industry/research establishments. All the systems housed in each laboratory are in a local area network and can be looked to either Linux environment/work as a stand alone system on windows – XP platform.

Laboratory – 1 :

Laboratory – 1 consists of presently fourteen high end, IBM Think Centre A50 having Intel Pentium 4 Processor , 2.8 GHz, 256 MB DDR RAM with dual operating systems Turbo Linux and windows – XP. These systems are loaded with database tools, network programming tools, visual development tools and research tools such as MATLAB for high-end semester course work and to conduct research work.

Laboratory – 2:

It is equipped with totally Twenty two HCL, Intel Core 2 Duo E8500+ Processor with

Speed 3.16 GHz, 1333MHz FSB , 4 GB DDR2 800MHz ,HDD: 500GB 7200 rpm SATA

17 ” Color TFT Wide Monitor,

Operating Systems: UBUNTU Linux.

In addition to this, there is a server room that consists of Two HP Server HP ProLiant ML110 G6 NHP Model, HDD: HP 1TB 3G SATA, 8 GB RAM, Ubuntu Linux operating system and Microsoft Server 2008,

and IBM Think centre Pentium – IV having Windows XP attached with HP scanner.

Laboratory – 3:

This Laboratory has been equipped with Fifteen Wipro Make Computer systems with AMD Athlon TM 64 5400+(2.8GHz),512 KB 1.2 Cache 1 GB DDR-2, 667 MHz dual channel SD RAM, FDD 1.44MB Integrated NVIDIA Graphics Adapter with 160 GB 7200 rpm SATA HDD DVD Writer, 17" TFT Monitor, Scroll Mouse, Keyboard, 10/100Mbbs Ethernet card, Windows XP Professional. All these systems have been networked and are loaded with basic tools to learn programming skills and system architecture.

Teaching Aid Equipments:

The Department is equipped with teaching aids like OHPs, LCD projectors, for handling theory and practical classes in an effective manner and for better understanding subjects in a semester scheme.

Internet Facility:

The department has an internet speed line of 2 Mbps connectivity, through the Computer Centre. Internet facility is provided around the clock to both students and staff for the effective usage of resources.

Audio-Visual Equipments:

In addition to learning in the classes, the department has Audio-Visual facility for enhancing the knowledge of students by themselves. The self paced learning materials available in the field of Computer Science are as follow:

· Database System Concepts

· Introduction to UNIX Environment System

· Introduction to Software Development

· Introduction to Artificial Intelligence