Computer Science
Computer Science
Computer Science
The Research Problems : Necessity of Defining the problem. Technique involved in defining a
problem. Review of related literature: Purpose of literature survey, identifying the current status,
presentation of literature survey findings. Critique, Survey and peer review process.
Final paper Presentation. Significance of Report Writing. Types of Reports. Layout of the
research report. Result visualization, references. Precautions of Research Reports.
Textbook
References
Microsoft Excel Data Analysis and Business Modelling, Wayne L. Winston, Microsoft Press
2004, ISBN : 0735619018
KRISHNA UNIVERSITY - MACHILIPATNAM
Ph.D. Program 2010-11
PART – A
Answer the following questions. Each question carries 2 marks. 10 x 2=20 marks
12. a. Define a Research Problem and write about the necessity of defining a problem.
(or)
b. Write about technique involved in defining a problem.
13. a. Define the Research Design and explain different Research Designs?
(or)
b. Explain about the Features of good Research Design?
Basic Computer Organization and Design : Stored Program Organization, Instruction set,
Timing and Control, Instruction Cycle. Micro-programmed Controller: Control Memory,
Address Sequencing, Micro Instruction Format, Design of Control Unit. Central Processing
Unit: General Register Organization, Stack Organization, Instruction Format and Addressing
Modes. Operating System : Process State Diagram, Process Scheduling. Deadlocks, Deadlock
prevention, detection and avoidance. Semaphores. Classical problems in Computer Science :
bounded-buffer problem, reader-writer problem, dining philosopher’s problem.
Reference Books
UNIT – I
UNIT – II
Mobile Network Layer : IPv4, IPv6, Mobile IP, entities and terminology, IP packet
delivery, agent discovery, registration, tunneling and encapsulation. IP mobility support.
UNIT – III
UNIT-IV
GSM architecture. GSM Protocol Stack, Handover, HLR and VLR, GPRS, GPRS
Architecture.
UNIT – V
Text Book:
Jochen Schiller,“Mobile Communications”,Addison-Wesley, Second Edition, 2004.
References:
1. Stojmenovic and Cacute, “Handbook of Wireless Networks and Mobile
Computing”, Wiley, 2002, ISBN 0471419028.
2. Adelstein, Frank, Gupta, Sandeep KS, Richard III, Golden , Schwiebert, Loren,
“Fundamentals of Mobile and Pervasive Computing”, ISBN: 0071412379, McGraw-
Hill Professional, 2005.
3. Hansmann, Merk, Nicklous, Stober, “Principles of Mobile Computing”, Springer,
second edition, 2003.
4. Martyn Mallick, “Mobile and Wireless Design Essentials”, Wiley DreamTech,
2003.
RISHNA UNIVERSITY - MACHILIPATNAM
Ph.D. Program 2010-11
Department of Computer Science
PART - I : Paper - 3 : Wireless Networks and Mobile Computing
Model Question Paper -1
Time: 3 hours Total Marks: 100
PART - A
Answer the following questions. Each question carry 2 marks. 10 x 2=20 marks
12. (a) Explain IPv4. What are the advantages of IPv6 over IPv4.
(or)
(b) Explain the concept of IP packet delivery in a mobile system.
13. (a) What is Mobile TCP? What are the disadvantages of conventional TCP to
incorporate in wireless environment.
(or)
(b) What is Mobile TCP? Explain selective retransmission.
Unit I
Data mining – Introduction, Data mining on what kind of data, Data mining functionalities,
classification of Data mining systems, Major issues in Data mining.
Unit II
Mining Association rules in large databases - Association rule mining, Mining single-
Dimensional Boolean association rules from Transactional databases, Mining multi-
Dimensional Association rules from relational Databases and Data Warehouses
Unit III
Classification and Prediction - Introduction classification by decision tree induction,
Bayesian Classification. Other classification methods, classification by back propagation,
Prediction, classifier accuracy
Unit IV
Cluster analysis – Introduction types of data in cluster analysis a categorization of major
clustering methods portioning methods, hierarchical methods
Unit V
Density based methods: DBSCAN, Grid-based method : STRING , Model based clustering
method: Statistical Approach, outlier analysis.
Text books
1. Jiawei Han Micheline Kamber, Data mining & Techniques Morgan Kaufmann
Publishers
Reference books
1. S.N.Sivanandam, S.Sumathi ,Data Mining – Concepts, Tasks and Techniques
Thomson (2006).
1. What is metadata?
2. Define web mining?
3. What is roughset approach?
4. What is decision tree?
5. Define border set?
6. What is windowing?
7. Write brief note on time series mining?
8. What is page rank?
9. Write is outlier analysis?
10. List out the tasks of Temporal datamining?
PART-B
Answer all the following questions. Each question carry equal marks. 5 x 16 = 80 marks
11. (a). what are the major issues in the data mining task? Explain in brief.
(Or)
(b). Explain classification of Data mining systems.
12. (a). write about concept of mining association? Explain different types of
association rules.
(Or)
(b).Explain Apriori algorithm with example.
UNIT-I
Introduction to software Engineering- The Evolution Role of software, Software, Quality of
Software, Software Evolution.
Software Engineering Process Models- prescriptive models, waterfall model, Incremental model,
RAD model, Evolutionary process model.
UNIT-II
Software Architecture – Software Architecture, Data design, Architecture styles and patterns,
Architectural design, mapping data flow into software architecture.
Software Analysis Model- Requirements analysis, Data modeling concepts, Object-oriented
modeling, Class- based modeling, flow-oriented modeling.
UNIT-III
Software Design Engineering- Design within the context of software Engineering, Design
process and quality, Design concepts, Design model, Pattern based software design.
Software Testing Strategies – Static approach to software testing, Validation testing, System
testing, Black-Box testing, White-Box testing, Object oriented testing models, Art of Debugging.
UNIT-IV
Software Metrics- Framework for product metrics, Metrics for analysis, Design, Source code,
testing and maintenance, Metrics for process and project domains.
Software Re-Engineering- Software Re-Engineering, Reverse Engineering, Restructuring,
Forward engineering.
UNIT-V
Project Organization & Responsibilities-, Project organizations, evolution of organizations.
Process Automation- Automation building blocks, project environment.
Project control & Process Instrumentation- The seven core metrics, Management indicators,
Quality indicators, Life cycle expectations, Programmatic software metrics, Metrics automation,
tailoring the process, Process discriminates.
Text Books-
1. Software Engineering-A practitioner’s Approach- Roger S. Pressman.
2. Software Project management- A Unified Framework – Walker Royce.
KRISHNA UNIVERSITY - MACHILIPATNAM
Ph.D. Program 2010-11
Department of Computer Science
PART - I : Paper - 3 : Software Engineering and Project Management
Model Question Paper -1
Time: 3 hours Total Marks: 100
PART – A
Answer the following questions. Each question carry 2 marks. 10 x 2 = 20 marks
PART - B
Answer the following questions. Each question carry 20 marks. 5 x 16 =80 marks
12. (a) Explain the process of mapping the dataflow into software architecture?
(or)
(b) Define the software object-oriented modeling concept in detail?
13. (a) Explain about the pattern based software design concept in detail?
(or)
(b) Explain about the validation and system testing approaches in detail?
15. (a) Explain about the evolution of project organizations concept in detail?
(or)
(b) Write about the life cycle expectations in detail?
KRISHNA UNIVERSITY -MACHILIPATNAM
Ph.D. Program 2012 - 2013
UNIT I: INTRODUCTION
Computer Security Concepts, The OSI Architecture, Security Attacks, Security Services, Security
Mechanisms, A model of Network Security, Standards.
TEXTBOOK
REFERENCES
PART - 8
Answer all the following questions. Each question carries equal marks. 5 x 16 = 80
4. a) What is the X.SOg certificate? What are the elements of are in certificates?
OR
b) Explain the working of SSL protocol.
TEXTBOOKS:
1. Cloud Computing and SOA Convergence in Your Enterprise: A Step by-Step
Guide, David S. Linthicum, Addison-Wesley Professional.
2. Cloud Computing: Principles, Systems and Applications, Nick Antonopoulos, Lee
Gillam, Springer.
3. Cloud computing a practical approach, Antony T. Velte, Me Graw Hill.
REFERENCE;
1. Cloud Computing: Web based Applications that change the way you work and
collaborate Online, Michael Miller, Pearson
2. Cloud Application Architectures, George Reese, O'Reilly Media.
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KRISHNA UNIVERSITY - MACHILIPATNAM
Ph.D. Program 2012-13
Department of Computer Science
PART - I
Paper - 3 : CLOUD COMPUTING
Model Question Paper
Time: 3hours Total Marks: 100
PART-A
Answer the following questions. Each question carry 2 marks 10 X 2 = 20
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KRISHNA UNIVERSITY - MACHILIPATNAM
Ph.D. Program 2012-13
Department of Computer Science
PART - I
Paper - 3 : Image Processing
UNIT - I
Introduction: Definition of digital image processing, examples of fields that use digital image
processing, fundamental steps in digital image processing, components of image processing system.
Digital Image Fundamentals: A simple image formation model, light and electromagnetic spectrum,
image sampling and quantization, basic relationships between pixels.
UNIT - II
Image enhancement: Basic gray-level transformation, histogram processing, enhancement using
arithmetic and logic operators, basics of spatial filtering, smoothing and sharpening spatial filters,
combining the spatial enhancement methods.
Image restoration: A model of the image degradation/restoration process, noise models, Weiner
filtering, constrained least squares filtering, geometric transforms.
UNIT - III
Color Image Processing: Color fundamentals, color models, pseudo color image processing,
basics of full-color image processing, color transforms, smoothing and sharpening, color
segmentation, color edge detection, noise in coior images.
UNIT-IV
Image Segmentation: Detection of discontinuous, edge linking and boundary detection, thresholding,
region-based segmentation.
UNIT-V
Representation and description:
Various schemes for representation, boundary descriptors, and regional descriptors.
TEXTBOOK:
1. Digital Image Processing, Rafeal C.Gonzalez, Richard E.Woods, Second Edition, Pearson
Education/PHI.
REFERENCES:
1. Fundamentals of Digital Image Processing, A.K.JAIN, PHI
2. Introduction to Digital Image Processing with matlab, Alasdair, McAndrew, Cengage
3. Computer Vision and Image Processing, Adrian Low, Second Edition, B.S.Publications
4. Digital Image Processing using Matlab, Rafeal C.Gonzalez, Richard E.Woods, Steven L. Eddins,
Pearson Education.
5. Digital Image Processing, S Jayaraman, SEsakkirajan, T Veerakumar,TMH .
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KRISHNA UNIVERSITY- MACHILIPATNAM
Answer the following questions. Each question carries 2 marks. 10 x 2=20 marks
PART - B
Answer all the following questions. Each question carries equal marks. 5 x 16 = 80
11. (a) Draw and explain the block diagram for fundamental steps in digital image processing.
(OR)
(b)Explain image sampling and quantization in detail.