RGPV / RGTU M.Tech. Sofware Engineering 2nd sem Data Mining Syllabus

Tags: Data Mining Syllabus, M.Tech Syllabus, Sofware Engineering M.Tech Syllabus, Data Mining Syllabus, M.Tech 2nd sem Syllabus, Sofware Engineering M.Tech 2nd semester Syllabus

Rajiv Gandhi Technological University, Bhopal (MP)
M.Tech. Sofware Engineering
Data Mining Syllabus
Enforced From Session 2009-10 SECOND SEMESTER (PROPOSED)

UNIT-1: Introduction of Data Mining, Data, Information and Knowledge Discovery, Data Mining Functionalities, Data Mining System categorization and its Issues. Data Processing: - Data Cleaning, Data Integration and Transformation. Data Reduction, Data Mining Statistics. Guidelines for Successful Data Mining, Data Mining Software.

UNIT-2: Classification:-Introduction, Decision Tree, Algorithms for Decision Tree Induction, Characteristics of Decision Tree Induction, Evaluation the Performance of a Classifier:-Holdout Method, Random Sub sampling, Cross-Validation. Rule Based Classifier, Nearest –Neighbors Classifiers, Bayesian Classifiers, Support Vector Machine (SVM)

UNIT-3: Cluster Analysis:- Introduction, Desired Features of Cluster Analysis, Cluster Evaluation, Agglomerative Hierarchical Clustering, Prototype-Based Clustering, Density-Based Clustering, Graph based Clustering, Scalable Clustering Algorithms

UNIT-4: Association Rule Mining:-Introduction, Basic, The Task and a Naïve Algorithm, Apriori Algorithms, Improving the efficiency of the Apriori Algorithm, Apriori-Tid, Direct Hasing and Pruning(DHP),Dynamic Itemset Counting (DIC), Mining Frequent Patterns without Candidate Generation(FP-Growth),Performance Evaluation of Algorithms, Software for Association Rule Mining

UNIT-5: Spatial Data Mining, Multimedia Data Mining, Text Ming, Web Data Mining.

References:
1. Jiawei Han and Micheline Kamber, Data Mining Concepts & Techniques, Elsevier Pub.
2. Tan,Steinbach,Kumar, Introduction To Data Mining,Pearson Education.
3. Arun.K.Pujari, Data Mining Techniques.
4. N.P Gopalan: Data Mining Technique & Trend, PHI
5. Ali: Data Mining:Methods and Techniques, Cenage Learning
6. Hand, Mannila & Smith: Principle of Data Mining, PHI
7. Vikram Pudi: Data Mining, Oxford Univ Press

RGPV / RGTU M.Tech. Sofware Engineering 2nd sem SOFTWARE ARCHITECTURE Syllabus

Tags: SOFTWARE ARCHITECTURE Syllabus, M.Tech Syllabus, Sofware Engineering M.Tech Syllabus, SOFTWARE ARCHITECTURE Syllabus, M.Tech 2nd sem Syllabus, Sofware Engineering M.Tech 2nd semester Syllabus

Rajiv Gandhi Technological University, Bhopal (MP)
M.Tech. Sofware Engineering
SOFTWARE ARCHITECTURE Syllabus,
Enforced From Session 2009-10
SECOND SEMESTER (PROPOSED)

UNIT - I: Software Architecture terms: Component, Relationship, View, Architectural Styles, Frameworks,Patterns, Methodologies, Processes, Functional and Non-functional Properties of Software Architectures .

UNIT - II: Enabling Techniques for Software Architecture: Abstraction, Encapsulation, Information Hiding, Modularization Separation of Concerns, Coupling and Cohesion, Sufficiency, Completeness and Primitiveness Separation of Policy and Implementation, Separation of Interface and Implementation .

UNIT - III: Architectural Styles: Pipes and Filters, Data Abstraction and Object-Orientation, Event-Based, Implicit Invocation, Layered Systems, Repositories, Interpreters, Process Control, Heterogeneous Architectures .

UNIT – IV: Formal Models and specifications : Formalizing the architecture of a Specific system ,formalizing an architectural style and architectural design space ,Requirements for Architecture –Description languages

Tools for architectural design :Universal connector language ,automated support for architectural design , observations about environments for architectural design .

UNIT-V: Case Studies Key word in Context, The World Wide Web a case study in interoperability, Instrumentation software, cruise control ,Mobile Robotics .Three Vignettes in Mixed style .

References:
1. Shaw ,Software Architecture , PHI
2. Len Bass, Paul Clements, Rick Kazman, Software Architecture in Practice, Pearson Edu.
3.Vasudev Verma , Software Architecture : A Case Based Approach , Pearson Edu.
4.Buschmann ,Pattern oriented Software Architecture Vol 1. ,Wiley
5. Erich Gamma, Design Patterns , Pearson Education

RGPV / RGTU M.Tech. Sofware Engineering 2nd sem Software Quality Assurance Syllabus

Tags: RGPV, RGTU, Syllabus, M.Tech Syllabus, Sofware Engineering M.Tech Syllabus, Software Quality Assurance Syllabus, M.Tech 2nd sem Syllabus, Sofware Engineering M.Tech 2nd semester Syllabus

Rajiv Gandhi Technological University, Bhopal (MP)
M.Tech. Sofware Engineering
Software Quality Assurance Syllabus
Enforced From Session 2009-10
SECOND SEMESTER (PROPOSED)

Unit-I: Software Quality Assurance Framework and Standards : Concept of Software quality Software, Software Quality Attributes ,Software Quality Assurance, Components of Software Quality Assurance ,Software Quality Assurance Plan: Steps to develop and implement a Software Quality Assurance Plan , Quality Standards: ISO 9000 and Companion ISO Standards, CMM, CMMI, PCMM, Malcom Balridge, 3 Sigma, 6 Sigma.

Unit-II : Quality Assurance: Quality Assurance as dealing with defects , Defects Prevention Techniques :Education & training , Formal methods . Defect reduction :Inspection –Direct fault detection and removal , testing –Failure observation and risk identification.Defect Containment : Software fault tolerance and safety assurance and failure containment .

Unit-III: Software Quality Assurance Metrics and Measurement : Software Quality Metrics ,Product Quality metrics, Process Quality Metrics, Metrics for Software Maintenance, Examples of Metric Programs , Software Quality metrics methodology, Establish quality requirements, Identify Software quality metrics, Implement the software quality metrics, analyze software metrics results, validate the software quality metrics , Software quality indicators , Fundamentals in Measurement theory .

Unit-IV: Software Testing: Functional vs, Structural testing, Test planning and preparation ,Test executions , Result Checking and measurement , Test Automation .
Testing techniques :Adaptation , specialization and Integration, Case Study: Hierarchical web Testing . Process Improvement :Process Classification , Process Measurement ,Process Analysis and Modelling , Formal Verification & Specification ,Fault tolerance and failure containment .

Unit-V: Quantifiable Quality Improvement : QA monitoring and measurement , Analysis and follow up actions , Implementations, Integration and tool support , Models for Quality Assessment ,Generalized and product specific models .Risk Identification for quantifiable quality improvement :Traditional statistical analysis techniques, New techniques for risk identification .Software Reliablity Engineering :Reliability Analysis Using IDRMs(Input Domain Reliabilty Model) & SRGMs(Software Reliability Growth Model) , TBRMs(Tree based reliability model) for reliability analysis and improvent .

References:
1. Tian , Software Quality Engineering ,Wiley Pub
2. Pressman , Software Engineering ,TMH Pub
3. Musa , Software Reliabilty Engineering , TMH Pub

RGPV / RGTU M.Tech. Sofware Engineering 2nd sem SOFTWARE PROJECT MANAGEMENT Syllabus

Tags: RGPV, RGTU, Syllabus, M.Tech Syllabus, Sofware Engineering M.Tech Syllabus, SOFTWARE PROJECT MANAGEMENT Syllabus, M.Tech 2nd sem Syllabus, Sofware Engineering M.Tech 2nd semester Syllabus

Rajiv Gandhi Technological University, Bhopal (MP)

M.Tech. Sofware Engineering
SOFTWARE PROJECT MANAGEMENT Syllabus
Enforced From Session 2009-10
SECOND SEMESTER (PROPOSED)

Unit-I
Introduction to Software project Management: Software projects, Contract management and technical project management , Activities covered by software project management , key objectives of effective management , plans , methods & methodologies , problems associated with software projects , management control .

Unit-II
Project Planning: Business Planning: determining objectives; forecasting demand for product proposal writing requirement analysis, legal issues; Technical Planning: Lifecycle models, types of plans, plan documentation methods: PERT & CPM, Gantt charts, work breakdown structures. standards , planning for risk management and control
Capacity planning .

Unit-III
Software Estimation Techniques , Expert judgement , estimating by analogy , Albrecht function point analysis , COSMIC Full Function Points , COCOMO-a patrametric model . Risk Identification , Risk Assessment ,Risk Planning & Risk Management, Evaluating risks to the schedule ,Critical chain concepts .

Unit-IV
Monitoring & Control: Creating the framework, collecting the data , Visualizing progress, Cost monitoring , Earned value analysis , Prioritizing monitoring ,Change control . Managing people & Organizing teams : Team organization , recruiting and staffing ,Technical leadership , avoiding obsolescence training .

Unit-V
Future Software Project Management : Modern Project Profiles, Next generation Software economics, modern process transitions. Case Study: The command Center Processing and Display system- Replacement (CCPDS-R)

References:
1. Bob Hughes and Mike Cotterell, Software Project Management, Tata McGraw- Hill Edition.
2. Thayer , Software Engineering Project Management ,2ed ,wiley
3. Conway , Software Project Management ,Wiley
4. Pankaj Jalote, Software Project Management in practice Pearson Education..
5. Kelkar , Software Project Management , PHI
6. Kathy Schwalbe ,Project Management in IT , Cengage Pub.

RGPV / RGTU M.Tech. Sofware Engineering 2nd semSyllabus Master of Technology (M.Tech.) Examination Scheme .

Rajiv Gandhi Technological University, Bhopal (MP)
M.Tech. Sofware Engineering
Scheme of Examination II sem
Enforced From Session 2009-10
SECOND SEMESTER (PROPOSED)

Sr.	Subject		Subject Name			Contact Period			Internal			End					Total
No.	Code								Assessme			Exam					Marks
									nt
						L	P					T		P
1.		MSE		Software
		201		Project		3		-	50			100				-		150
				Management
2.		MSE		Software
		202		Quality		3		-	50			100				-		150
				Assurance
3.		MSE		Elective -I		3		-	50			100				-		150
		203
4.		MSE		Elective -II		3		-	50			100				-		150
		204
5.		MSE		Elective –III		3		-	50			100				-		150
		205
6.		MSE		LAB III		-		3	25			-				100		125
		206		MSE 201
7.		MSE		LAB IV		-		3	25			-				100		125
		207		MSE 202, 203
		Total				15		06	300			500				200		1000

S.No.	Elective –I(MSE 203	Elective-II (MSE 204)	Elective –III (MSE 205)
01	Advance DBMS	Design and Analysis of	Data Mining
		Algorithms
02	Web Technology & E-	Software Architectures	Software Design Pattern
	Commerce
03	Knowledge Representation &	Soft Computing	Open Source Software
	AI		Engineering
04	Wireless & Mobile Adhoc	Natural Language	Advance Modeling &
	Networks	Processing	Simulation