The detailed syllabus of the Open Elective papers of M.Tech (2009 admission batch) 3rd Semesters are given herewith for reference of all concerned.

Open Electives - 3rd Semester (Choose any one)

1. Project Management and Costing
2. Research Methodology
3. Human Resource Management
4. Data Mining & Data Ware House (Except Industrial Engg.  & IT)
5.  (a)Foundation of E-Commerce (Except CSE & IT)
     (b)Software Project, Process & Quality Management (For CSE & IT)
6. Enterprise Resource Planning (Except IT)
7. Soft Computing / Soft Computing Applications. (Except CSE & IT)
8. Disaster Management and Mitigation

PROJECT MANAGEMENT & COSTING (3-0-0)

Module- I
Project Feasibility Analysis: Technical feasibility, commercial and financial viability, Environment Analysis.
Project Engineering: Project Management Techniques: Network Techniques, PERT, CPM, Project Scheduling Crashing, PERT / COST, Line of Balance (LOB).
Module- II
Projects Financing alternatives, Sources of finance, their advatages, Choice of Financing mix, Capital budgeting.
Project Organisation, management and control: Project organisation and control staffing, monitoring: cost, time and control and progress monitoring techniques.
Module- III
Costing: Fixed and variable cost. Marginal Costing, Break even analysis, Overhead allocation Techniques.
Product and service pricing: Availability and quality based pricing for services. Capacity planning and expansion, capacity decision considering and models.

Books:
1. Prasanna Chandra: Project Engineering and Management, Prentic
2. Levy and Weist: Management guide to PERT / CPM, Prentice Hall

RESEARCH METHODOLOGY (3-0-0)

Module – I Business Research Basics                                         
Nature and scope of Business Research; Identification of Research Problem; Statement of Research Objective & Hypothesis; Formulation Research Question; Types of Business Research and Process; Research Designs – Exploratory, Descriptive, Experimental, Observational Studies & Survey.
Module – II Methods of Data Collection and Data Analysis       
Research Tools – Questionnaire, Check List, Interview Schedule; Measurement & Scaling – Attitude Measurement, Sampling Methods – Probabilistic & Non Probabilistic
Sampling, Sample Design & Procedures- Sample size Estimation, etc.
Module – III Data Analysis & Research Documentation
Data Analysis and Interpretations: Frequency Distribution, Cross Tabulation and Hypothesis Testing, Descriptive Statistics, Univariate (‘t’ & ‘z’), Bivariate (Annova, Chi-square), multiple regression, Factor analysis, Multi-Dimensional Scaling. Types of Research Report; Structure of Research Report; Report Writing, Use of Tables & Figures.
Test Books:
1. Cooper & Schindler, Business Research Methods, Tata & McGraw Hill,
2. Krishnaswamy ,Sivakumar, Mathirajan, Management Research Methodology,Pearson,

Reference Books:
1. Kothari, C.R., Research Methodology, New Age Interval Publishers, 2004
2. Paneerselvam, R. Research Methodology, PHI, New Delhi
3. D. K. Bhattacharya – Research Methodology – Excel Books
4. Business Research and Methods- Oxford.

HUMAN RESOURCE MANAGEMENT (3-0-0)

UNIT – 1         Human Resource Development Strategies, Design And Experience
Human Resource Development: HRD-An Overview, Line Managers and HRD, Task Analysis, Motivational Aspects of HRD, Developmental Supervision, Counselling and Mentoring , HRD for Health and Family Welfare in Select HRD Culture and Climate, HRD for Workers, HRD/OD Approach to IR Corporate Business,
UNIT – II         Basics of Human Resource Planning
Macro Level Scenario of Human Resource Planning, Concepts and Process of Human Resource Planning, Methods and Techniques-Demand Forecasting, Methods and Techniques-Supply Forecasting, Job Evaluation: Concepts, Scope and Limitations, Selection and Recruitment, Induction and Placement, Performance and Potential Appraisal, Transfer, Promotion and Reward Policies, Training and Retraining.
UNIT – III        Wage and Salary Administration & Labour Legislation
Wage Concepts and Definition of Wages Under Various Labour Legislation, Norms for Wage Determination, Law relating to Payment of Wages and Bonus, Pay Packet Composition, Design of Performance-linked Reward System,
Philosophy of Labour Laws, Labour Laws, Industrial Relations and Human Resource Management, Indian Constitution and Labour Legislations
Time Management: Importance of Time factor, Time waster, Prioritizing Work Scheduling, Functions of the Time Office, Flexible Work arrangements.

Reference Books

1. Beardwell  and Len Holder, Human Resource Management Macmillan India Ltd.,
2. Graham H.T., & R.Bennet, Human Resource Management – Pitman, London
3. Edwin Flippo, Principles of Personnel Management – McGraw Hill.
4. Performance Appraisal, Theory and Practice – AIMA VIKAS Management Series,
5. C.B. Manmoria, Personnel Management – Himalayan Publishing Co., New Delhi.
6. Decenzo / Robbins: Personnel / Human Resource Management, PHI, .
7. Pattanayak: Human Resource Management, PHI,   
8. Nair,N.G. & Latha Nair:Personnel Management & Industrial Relations–S.Chand & Co.
9. Milkovich, G.T & Boudreav, J.W:  Personnel Human Resource Management : A diagnostic approach, Ed5,: All India Traveller Book Seller, D

DATA MINING & DATA WARE HOUSE (3-0-0)

Introduction to Data mining: Motivation for Data Mining, its importance, Role Data in Data Mining, Data Mining functionalities, patterns in data mining, Type of patterns, Classification of Data Mining Systems, Major issues in Data Mining; Data Warehousing and OLTP technology for Data Mining, Data Mining Languages, and System Architectures, Concept Description: Characterization and Comparison, Mining Association Rules in Large Databases, Classification and Prediction, Cluster Analysis, Mining Complex Data, Applications and Trends in Data Mining Characteristics of data warehouse, Data Mart, Online Analytical Processing, OLAP tools, Data warehouse Architecture, Organizational Issuer, Tools for Data warehousing, Performance consideration, case studies. Special topics in data mining and data ware housing.

Essential Reading:
1. J. Han & M. Kamber, Data Mining: Concepts and Techniques, Morgan Kaufmann, 2nd Ed, 2006.
2. M. J. A. Berry and G. Linoff, Mastering Data Mining: The Art and Science of Customer Relationship Management, Wiley Computer Publishing, 2000.
Supplementary Reading:
1. P. Adriaans & D. Zantinge, Data Mining, Addison Wesley, 1996.
2. R. Mattison, Data Warehousing: Strategies, Tools and Techniques, McGraw Hill, 1996.
3. P. Ponniah, Data Warehousing Fundamentals: A Comprehensive Guide for IT Professionals, Wiley, 2001.

FOUNDATION OF E-COMMERCE

Introduction to Business/Network Concepts, Technology and business integration. The Hardware of E commerce: Introduction to networks, Introduction to the, business server, Electronic Business Structure: Protocols, The WebPages, Portals of Business, Web salesmanship, Introduction to the client machine and OS. Business servers: Mail, Applications, Proxy, Entertainment, ISP, Banking. Advertising on the Network: Web software infrastructure, personalization and tracking, Web Billboards, The ‘Hit’ Theory, Intellectual property for sale, ‘Bots’. Business Netiquette: Dos and Don’t of WebPages, Client service, Personnel ,Technical support, Network services ,Accounting and statistics, integration of catalogs and other trading information. Business Security: The Credit card on the Net, Secure transmission , Internal security of telephony, E mail security, auctions and trading mechanisms, safe exchange, payment mechanisms and protocols, searching hyperlink structures, data mining, copy right protection and security. Special topics in E-Commerce.

Essential Readings:
1. W. Hanson, Principles of Internet Marketing, South Western Publishing, 2004.
2. K. K. Bajaj & D. Nag, E Commerce, Tata McGraw Hill, 2006.
Supplementary Readings:
1. R. Kalakola and A. B. Whiston, Frontiers of Electronic Commerce, Addison-Wesley, 1996.
2. Greensein, Feinman, Electronic Commerce Security, Risk management and Control, Tata McGraw Hill, 2000.
3. Green Stein, Electronic Commerce, Tata McGraw Hill, 2007.

SOFTWARE PROJECT, PROCESS AND QUALITY MANAGEMENT (3-0-0)

Introduction to S/W project management, S/W project management competencies, responsibilities of a software project manager, Software process, S/W process models, project planning, organization of project team, S/W size estimation, estimation of effort & duration, Halstead’s software Science, models, dependency & scheduling, staffing, Organizing a software engineering project, S/W configuration management, monitoring & controlling S/W projects, developing requirements, risk management, project tracking & control, communication & negotiating, S/W quality, S/W quality engineering, defining quality requirements, quality standards, practices & conventions, ISO 9000, ISO 9001, S/W quality matrices, managerial and organization issues, defect prevention, reviews & audits, SEI capability maturity model, PSP, six sigma. Special topics in process and quality management.

Essential Reading:
1. B. Hughes, M. Cotterell, Software Project Management, McGraw Hill, 4th ed, 2005.
2. R. Walker, Software Project Management, Pearson, 2003.
Supplementary Reading:
1. R. H. Thayer, Software Engineering Project management, IEEE CS Press,2nd Ed.
2. R. Pressman, Software Engineering A Practitioner’s approach, McGraw Hill, 4th Ed.

ENTERPRISE RESOURCE PLANNING (ERP) (3-0-0)

Introduction to ERP: Overview of ERP - Introduction and Evaluation of ERP, Reasons for the growth of the ERP-Market, Advantages and Disadvantages of ERP, Overview of Enterprise - Integrated Management Systems, Business Modeling, Integrated Data Model.
ERP-and Related Technologies: Business Process Re-engineering (BPR) - Best Practices in ERP, Re-engineering Options - Clean State Re-engineering, Technology Enabled Re-engineering, Business Intelligence Systems-Data Mining, Data Warehousing, On-Line Analytical Processing (OLAP), Supply Chain Management.
Benefits of ERP:  Reduction of Lead Time, On-Time Shipment, Reduction in Cycle Time, Improved Resource Utilisation, Better Customer Satisfaction, Improved Supplier Performance, Increased Flexibility, Reduced Quality Costs, Improved Information Accuracy and Design Making Capabilities (Case Studies)
ERP System Options and Selection Methods: Optimal Means of Developing an ERP, Measurement of Project Impact, IT Selection and Project Approval, ERP proposal Evaluation, Project Evaluation Techniques, Testing.
ERP Implementation and Maintenance: Implementation Strategy Options, Features of Successful ERP Implementation, and Strategies to Attain Success, User Training , ERP Maintenance.
ERP - The Business Modules: Introduction: - Finance, Manufacturing (Production), Human Resource, Plant Maintenance, Materials Management, Quality Management, Sales and Distribution.
The ERP Market: Introduction to ERP Market - SAP AG, PeopleSoft, Baan Company, Oracle Corporation, JD Edwards World Solutions Company, QAD, System Software Associates, Inc. (SSA) - Case Studies.
Future Directions in ERP: Introduction - New Markets, New Technologies, Faster Implementation Methodologies, New Business Segments, Trends in Security.

Books:
1.Alexis Leon, Enterprise Resource Planning, 10/E, TMH, 2004.
2. ERP: A Managerial Perspective, Sadagopan, S., Tata Mcgraw-Hill 

SOFT COMPUTING (3-0-0)

Introduction to Neorofuzzy and Soft Computing, Fuzzy set theory, Fuzzy Rules, Fuzzy Reasoning, Fuzzy inference System, Neural Networks; Radial basis and recurrent neural networks, Hopfield Networks, Comparision of RBF and MLP Network, Running Algorithms, NeuroFuzzy Modeling, Applications of Soft Computing to Signal Processing, Image Processing, Forecasting, XOR Problem traveling salesman problem, Image compression suing MLPs character retrieval using Hopfield networks, Introduction to Genetic Algorithm hybrid systems etc. Recent advances in soft computing applications.

Essential Reading:
1. V. Kecman, Learning and Soft Computing, Pearson, 1st Ed, 2001.
2. D. E. Goldberg, Genetic Algorithms in Search Optimization & Machine Learning, Addison Wesley, 3rd Ed.

Supplementary Reading:
1. B. Kosko, Neural Network and fuzzy systems, Prentice Hall of India, 2006.
2. S. Goonatilake & S. Khebbal, Intelligent Hybrid Systems, Wiley, 1995.

DISASTER MANAGEMENT AND MITIGATION

  
 Module 1
Various types of natural and manmade disasters: Earthquake, flood, drought, tsunami, landslides, global warming and climate change, fire hazard, etc.; challenges for disaster management in India, tsunami  preparedness for coastal zones , Role of technology in disaster mitigation, applications of GPS, GIS, Remote Sensing and IT in disaster management and mitigation measures.

 
 Module 2
 Earthquake Hazards/ disasters, Causes of Earthquakes, Distribution of  earthquakes  Hazardous effects of earthquakes, Earthquake Hazards in India  Concept of earthquake resistant design; Reinforcement detailing for members and  joints, retrofitting and strengthening of structures, concept of base isolation  design and structural control, Vulnerability assessment of structures subjected to earthquake loading,
 
 Module 3
 Disaster Management- An integrated approach for disaster preparedness,  mitigation & awareness, warning system for disaster preparedness, Preparedness through (IEC) Information, education,& Communication, generating awareness about disaster management, emerging approaches in disaster management ; three stages : preparedness stage, emergency stage and post disaster rehabilitation stage , Role of Panchayats  and government officials in Disaster mitigations, Environmental policies & programmes in India- Institutions & National, Centres for Natural Disaster reduction, Environmental Legislations in India, Awareness, Conservation Movement, Education & training.

Books

1. Disaster Management –Future Challenges & Opportunities by Jagbir Singh, I.K. International Publishing House.
2. Earthquake Resistant Design of Structures –Shrikhande & Agrawal, PHI