Web Services Lab

Objectives:
> To implement the technologies like WSDL, UDDI.
> To learn how to implement and deploy web service client and server

List of Programs:
1. Write a program to implement WSDL Service (Hello Service . WSDL File)

2. Write a program the service provider can be implement a single get price(), static bind() and get product operation.

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Advanced Data Mining

Objectives:
> To develop the abilities of critical analysis to data mining systems and applications.
> To implement practical and theoretical understanding of the technologies for data mining
> To understand the strengths and limitations of various data mining models

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Web Services and Service Oriented Architecture

Objectives:
> To Understand Web Services and implementation model for SOA
> To Understand the SOA, its Principles and Benefits
> To Understand XML concepts
> To Understand paradigms needed for testing Web Services
> To explore different Test Strategies for SOA-based applications
> To implement functional testing, compliance testing and load testing of Web Services
> To Identify bug-finding ideas in testing Web Services

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Software Architecture and Design Patterns

Objectives:
• To understand the concept of patterns and the Catalog.
• To discuss the Presentation tier design patterns and their affect on: sessions, client access, validation and consistency.
• To understand the variety of implemented bad practices related to the Business and Integration tiers.
• To highlight the evolution of patterns.
• To how to add functionality to designs while minimizing complexity
• To understand what design patterns really are, and are not
• To learn about specific design patterns.
• To learn how to use design patterns to keep code quality high without overdesign.

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Parallel and Distributed Algorithms

Objectives:

• To learn parallel and distributed algorithms development techniques for shared memory and message passing models.

• To study the main classes of parallel algorithms.

• To study the complexity and correctness models for parallel algorithms.

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Pattern Recognition

Objectives:
• To implement pattern recognition and machine learning theories
• To design and implement certain important pattern recognition techniques
• To apply the pattern recognition theories to applications of interest
• To implement the entropy minimization, clustering transformation and feature ordering

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Software Process and Project Management

Objectives:
• Describe and determine the purpose and importance of project management from the perspectives of planning, tracking and completion of project.
• Compare and differentiate organization structures and project structures.
• Implement a project to manage project schedule, expenses and resources with the application of suitable project management tools.

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Distributed Systems

Objectives:
• To explain what a distributed system is, why you would design a system as a distributed system, and what the desired properties of such systems are?
• To list the principles underlying the functioning of distributed systems, describe the problems and challenges associated with these principles, and evaluate the effectiveness and shortcomings of their solutions
• To recognize how the principles are applied in contemporary distributed systems, explain how they affect the software design, and be able to identify features and design decisions that may cause problems
• To design a distributed system that fulfills requirements with regards to key distributed systems properties(such as scalability, transparency, etc.), be able to recognize when this is not possible, and explain why?
• To build distributed system software using basic OS mechanisms as well as higher-level middleware and languages.

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Advanced Operating Systems

Objectives:
• To understand main components of Real time Operating system and their working
• To study the operations performed by OS as a resource manager
• To understand the scheduling policies of DOS
• To implement the working principles of OS
• To study different OS and compare their features

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