2010 mca syllabus

Basics of Software Project Management, NIIT, Prentice-Hall India, 2004 Software Project Management in Practice, Pankaj Jalote, Pearson Education, 2002

Effective Methods for software Testing William Perry Software Testing in Real World Edward Kit

SOFTWARE REQUIREMENTS

Microsoft project 2003

Subject Code		J030334
Title		Web Services and SOA Applications
Work Load Per Week		L:3 T:1 Lab:4	Practical: 4
Examination		Internal: 30 University Exam: 70	Practical: 50
Objectives		Make student familiar with Web Services(WS) and Service Oriented Architecture (SOA)
Learning Outcomes	Upon completion of this course, students should be able to: Use Java XML API for parsing, Data Binding and Messaging Understand the concept Web Service and SOAP Identify the role of SOAP Writing Web Services using java and WSDL Relate Web Services with SOA
Pre-requisites	Web Support Technologies (J030106) Object Oriented Programming with Java (J030109) Distributed Programming (J030224)
Reference Book	Java Web Services: up and Running, Martin Kalin, Oriely, 2009 Java SOA a Cook Book, Eben Hewitt, Oriely, 2009 Designing Web Services with the J2EE™ 1.4 Platform JAX-RPC, SOAP, and XML Technologies, Inderjeet Singh and others, Addison Wesley

Syllabus

Lec. Num	Unit Title	Details
1.	Introduction to Web Services	Web Services and SOA Overview
2.		What SOA provides and what not? Alternatives to SOA
3.	Java API for XML	Overview of XML Technologies
4.		Creating and Parsing XML with DOM
5.		Data Binding using JAXB, JAXB Compilation
6.		Mapping Schema types to Java, Java to XMl binding using annotations
7.		Marshaling and unmarshaling with JAXB
8.		Working with JAXB Object Modeling, In memory validation

Lec. Num	Unit Title	Details
9.	The Simple Object Access Protocol (SOAP)	SOAP Messaging Model , SOAP Namespaces, SOAP Envelope Header and body
10.		SOAP Faults, Attachments, XML Schema, Validating Message Content, SOAP Encoding
11.	The Java APIs for SOAP Messaging (SAAJ)	The SAAJ Object Model, Parsing a SOAP Message, Reading Message Content
12.		Working with Namespaces, Creating a Message, Setting Message Content , Integration with the DOM and JAXP
13.	The Java API for XML Messaging (JAXM)	Building Low-Level Web Services , Messaging Scenarios
14.		Point-to-Point Messaging, JAXM Message Providers
15.		JAXM Servlets, Creating a SOAP Connection , Sending a Message,
16.	The Java API for XML Messaging (JAXM)	Building Low-Level Web Services , Messaging Scenarios
17.		Point-to-Point Messaging, JAXM Message Providers
18.		JAXM Servlets, Creating a SOAP Connection , Sending a Message,
19.	Web Services Description language (WSDL)	Web Services as Component-Based Software, The Need for an IDL
20.		Web Services Description Language, WSDL Information Model, The Abstract Model - Service Semantics
21.		Message Description , Messaging Styles,
22.		The Concrete Model - Ports, Services, Locations
23.		Extending WSDL - Bindings , Service Description
24.	Java API for XML Based RPC	The Java Web Services Architecture, Two Paths
25.		How It Works - Build Time and Runtime
26.		The Web Services for J2EE Specification
27.		JAX-RPC Deployment
28.		Mapping Between WSDL/XML and Java
29.		Generating from WSDL and Java
30.	Generating Web Services Using Java Code	The Java-to-XML Mapping, Primitive Types and Standard Classes

Lec. Num	Unit Title	Details
31.		Value Types and JavaBeans, The Java-to-WSDL Mapping
32.		Simple and Complex Types, Arrays and Enumerations
33.		Service Endpoint Interface, Scope of Code Generation
34.		Inheritance Support, Multi-Tier Application Design, Analyzing the Domain
35.	Generating Java Web Services from WSDL	The XML-to-Java Mapping ,Simple and Complex Types
36.		Enumerations, Arrays, Miscellaneous, Optionally-Supported Constructs
37.		The WSDL-to-Java Mapping, Mapping Operation Inputs and Outputs
38.		Building a Service Client, Locating a Service, Client-Side Validation
39.		Creating a Web Service and Deploying the Service
40.	Web Services and Security	Threats to web services, Public key and digital signature techniques
41.		J2EE techniques, Securing a web service URIs
42.		HTTPS, XML and SOAP Solutions, XML encryption and Signature
43.		WS Security, SAML, XACML

Subject Code		J030335
Title		Soft Computing
Work Load Per Week		L:3 T:1
Examinations		Int: 30 Univ: 70
Objectives		Soft Computing is a discipline that deals with the design of hybrid intelligent systems, which is in contrast to classical hard computing technique. A consortium of computing methodologies that provides a foundation for the conception, design, and deployment of intelligent systems and aims to formalize the human ability to make rational decisions in an environment of uncertainty, imprecision, partial truth, and approximation. The main constituents of Soft computing involves neuro computing, fuzzy logic, genetic computing and probabilistic reasoning, and their fusion in real, scientific and industrial applications
Learning Outcomes		Students who successfully complete this course will be able to general understanding of soft computing methodologies, including artificial neural networks, fuzzy sets, fuzzy logic, fuzzy clustering techniques and genetic algorithms also design and development of certain scientific and commercial application using computational neural network models, fuzzy models, fuzzy clustering applications and genetic algorithms in specified applications
Pre-requisites		XII Level Mathematics
Text Book(s)		Artificial intelligence by Elaine Rich, Neural Networks, Fuzzy Logic, Genetic Algorithms by S. Rajasekaran
Syllabus
Lec. Num	Unit Title	Details	Learning Resources
1	Introduction to Artificial Intelligence Systems	Overview of AI	Handout
2		Production Systems	Page29(R1)
Lec. Num	Unit Title	Details	Learning Resources
3		Problem characteristics, Production system Characteristics	Page 36-44 (R1)
4		Issues in the Design of Search Programs	Page 57 (R1)
5	Heuristic search techniques	Hill climbing	Page 64(R1)
6		Branch bounding technique	Page 6(R1)
7		Best first search & A’ algorithm	Page 65(R1)
8	Soft computing-overview	Introduction	Handout
9		Guiding Principle of Soft computing	Handout
10		Importance of Soft computing	Handout
11	Fuzzy Set Theory	Introduction	Handout
12		Fuzzy Sets, Fuzzy Logic, Crisp Set	Page 157-186(R2)
13		Fuzzy Numbers and Fuzzy Arithmetic	Page 157-186(R2)
14		Determination of Membership Functions	Page 157-186(R2)
15		Crisp Relations	Page 157-186(R2)
16		Fuzzy Relations	Page 157-186(R2)
17		Fuzzy Rule based System	Page 157-186(R2)
18		Defuzzification Methods	Page 157-186(R2)
19		Applications	Page 157-186(R2)
20		Fuzzy Mathematical Programming	Handout
22		Programming Assignment	Page 157-186(R2)
23		Exercise	Handout
24	Evolutionary Computations	Introduction	Page 225-252(R2)
25		Basic concept	Page 225-252(R2)
26		Creation of Offspring	Page 225-252(R2)
27		Working Principle	Page 225-252(R2)
28		Encoding	Page 225-252(R2)
29		Fitness Function	Page 225-252(R2)
30		Reproduction	Page 225-252(R2)
31		Programming assignment	Page 225-252(R2)
Lec. Num	Unit Title	Details	Learning Resources
32	Neural Networks	Introduction	Page 11-33(R2)
33		Basic concepts of Neural Networks	Page 11-33(R2)
34		Neural Networks Architectures	Page 11-33(R2)
35		Characteristics of Neural Network	Page 11-33(R2)
36		Solving optimization problems using neural networks	Page 11-33(R2)
37		Learning Methods	Page 11-33 (R2)
38		Programming assignment	Page 11-33 (R2)
39		Learning Methods	Page 11-33 (R2)
40		Programming assignment	Page 157-186(R2)
41		Back propagation Networks Architecture	Page 34-86 (R2)
42		Back propagation Learning’s	Page 34-86 (R2)
43		Applications	Page 34-86 (R2)
44		Variations of Standard Back propagation Algorithm	Page 34-86 (R2)
45		Research Direction	Page 34-86 (R2)