Objectives
To introduce business analytics concepts, techniques, issues, applications, and emerging trends
To cover various data mining techniques and their use in strategic business decision making Contents:
The course provides a theoretical and practical understanding of detecting and defining business analytics problems and opportunities:Analytics and Business Performance, Analytics and Internal Processes, Analytics and External Processes,Impact of Big Data on IT, Unstructured Data analysis, being familiar with key data mining methods including data visualization, Association & Market-Basket Analysis, Cluster Analysis, Classification and Predictive Modeling: Decision Tree induction, Nearest-neighbor Classifiers, Bayesian Classifiers, Predictive Modeling Using Logistic Regression, Model evaluation and Interpretation, Predictive Modeling Using Neural Networks, Anomaly Detection, Text Mining, Big data Analytics.
Text Books
Data Mining and Business Analytics with R Johannes Ledolter, Wiley : 2013, ISBN-13:978-1118447147
Data Mining for Business Intelligence, by Galit Shmueli, Nitin R. Patel, and Peter C.
Bruce (Wiley: 2007).
Reference Books
Data Mining : Concepts and Techniques by Jiewai Han and Kamber, Morgan Kaufman Publishers, 2005
Michael J. A. Berry Gordon S. Linoff Data Mining Techniques: For Marketing, Sales, And Customer Relationship Management, 3rd Edition, Wiley India Pvt Ltd (2012)
Pang-Ning Tan, Vipin Kumar Introduction to DataMining 1st Edition (Paperback), Pearson, 2007
Margaret H. DunhamDataMining : Introductory and Advanced Topics 1st Edition 1st Edition 2008
IT IN MANUFACTURING Objectives
This course provides fundamental principles for the effective use of information systems with a special emphasis on manufacturing.
Contents
IT-enabled Operational Effectiveness: ERP in manufacturing, Aligning IT and the Organization: Role of Artificial Intelligence and other forecasting technologies, Automated Virtual Manufacturing plants, linking process Modeling Architecture with ERP, IT and Productivity;
IT-implementation and Delivery: Role of Senior Management in the implementation process, Designing an Industry-wide Information Architecture, implementing computer vision solutions in manufacturing, delivering an industry-wide solution.
Textbooks
‘IT for Manufacturing’ – By Kevin Ake, John Clemons, Mark Cubine, Bruce Lily.
CRC Press
‘Advances in Manufacturing’ – By Spyros G. Tzafestas, Springer London, 2011.
Reference Books:
‘Information Technology for Manufacturing: A Research Agenda’, Committee to Study Information Technology and Manufacturing, Computer Science and Telecommunications Board, National Research Council. National Academic Press.
‘Information Technology for Balanced Manufacturing Systems’, IFIP TC 5, WG 5.5 Seventh International Conference on Information Technology for Balanced Automation Systems in Manufacturing and Services, Niagra Falls, Ontario, Canada, September 4-6, 2006.
Information Technology in Manufacturing Processes: Case Studies in Technological Change, Graham Winch
‘Information Technology for Manufacturing Systems’, Selected, Peer Reviewed Papers from the 2010 International Conference on Information Technology for Manufacturing Systems (ITMS 2010), Macao, China, January, 30-31, 2010
E-CUSTOMER RELATIONSHIP MANAGEMENT Objective
To understand how the technology platform underlying e-CRM software solution fits within the enterprise ecosystem and describe processes and functions of an integrated e-CRM software solution comprising three components that form a closed feedback loop
Contents
Introduction to Customer Relationship management (CRM) and e-Customer Relationship Management (e-CRM), CRM functionalities: operational, analytical, and collaborative, CRM technologies, e-Channel Management, Five engines of e-CRM, CRM 2.0 Strategies, Tools, and Techniques, Market Intelligent Enterprise, Sales Force Automation, Call Centre Management, Enterprise Marketing automation, Partner Relationship Management, Customer Life Time Value (CLTV), Building and implementing e-CRM Strategy, e-CRM implementation Challenges, CRM in Multichannel environment.
Text Books
Paul Greenberg, CRM at the Speed of the Light , Fourth Edition : McGraw-Hill, 2009
Francis Buttle, Customer Relationship Management: Concept and Technologies, Butterworth-Heinemann; 2 edition Second Edition , 2008.
Reference Books
Dr. Pravin Balaraman, Prof Bill, Realities of CRM in Multinational Corporation:
CRM, Relationship Marketing, CRM System, eBusiness application Lap Lambert Acad. Publ. (2010)
Jaiswal E-CRM: Business and System Frontiers Asian Books (2002)
Adam Metz The Social Customer: How Brands Can Use Social CRM to Acquire, Monetize, and Retain Fans, Friends, and Followers [eBook] Mcgraw-hill
ENTERPRISE RESOURCE PLANNING Objectives
To understand the business processes from areas such as sales, marketing, procurement, manufacturing, and accounting and to demonstarte how ERP system can support and optimize the inherent business processes.
Contents
Introduction to ERP systems, Re-engineering and Enteprise Resource Planning Systems, Evaluation und implementation of ERP systems,understanding of business processes, connection between business processes and ERP systems, various modules viz: Sales and Marketing, Accounting and Finance, Production and Materials Management, Human Resources, Managing an ERP Project, ERP Life Cycle, Case Studies.
Text Books
Sumner, Mary: Enterprise Resource Planning, : Prentice Hall, 2006.
Bret Wagner and Ellen Monk, Enterprise Resource Planning, Course Technology; 3 edition 2008
Reference Books
Alexis Leon ERP Demystified 2 Edition (Paperback) Tata McGraw - Hill Education 2007
Jagan Vaman Nathan ERP in Practice : ERP Strategies for Steering Competence &
Competitive Advantage 1st Edition (Paperback) Tata McGraw - Hill Education 2007
Glynn C. Williams Implementing SAP ERP Sales and Distribution 1 Edition (Paperback) Tata McGraw - Hill Education 2008
MANAGEMENT INFORMATION SYSTEM Objectives
To introduce the concepts of Management Information Systems and its applications in managerial decision making.
Contents
Introduction to MIS- People, Organization, Systems and Management, Technology Concepts, System Life Cycle, Managing Data Resources, Enterprise-wide Computing and Networking, Office Automation, MIS Case Studies,Selected Issues in MIS Management, Relational Database Management System Concepts and Entity Relationship Modeling, Normalization, Concurrency Control and Transaction Management, Databae Security.
Text Books
Management Information Systems, Thomson Learning, James O’Brien, 2010.
Raymond McLeod J., George Schell, Management Information Systems, Prentice-Hall International Inc., 2001.
Reference Books
James O’Brien, George Marakus, Management Information Systems, 2010.
Kenneth Craig Laudon, Jane Price Laudon, Management Information Systems:
Managing the Digital Firm, Prentice hall, 2002.
McNurlin, Spargue, Jr., Information Systems Managemnt in Practice, 6th Ed., 2003.
DECISION SUPPORT SYSTEMS AND EXPERT SYSTEMS Objectives
To enhance the decision making to meet business dynamics and problem solving Contents
Decision Making Techniques.DSS Introduction, Concepts, Design and Development of DSS.
Applications in Manufacturing and Service Sectors .DSS Models, GDSS, ODSS. ES Introduction, Concepts, Design and Development of ES. Integration of DSS and ES
Text Books
Decision Support and Business Intelligence Systems (9th Edition) Efraim Turban, Ramesh Sharda, Dursun Delen
Intelligent Systems: Principles, Paradigms and Pragmatics by Robert J. Schalkoff
Keen Peter G. W. Decision Support system and Organsational Perspective- Addison Wesley
Reference
Theierauff Robert J.- Decision Support System for Effective Planning
Markas, George M. – Decision Support System in the 21st Century
Decision Support Systems: Concepts and Resources for Managers By Daniel Power
Decision Support Systems: Concepts and Resources for Managers By Daniel J. Power Editor, DSSResources.COM
A Brief History of Decision Support Systems by D. J. Power Editor,DSSResources.COM
Artificial Intelligence in the 21st Century by Stephen Lucci and Danny Kopec
DATA ANALYTICS Objective
To demonstrate the latest tools, technologies, methodologies and trends in analysing the unstructured data.
Contents
Analytics and Business Performance, Analytics and Internal Processes, Analytics and External Processes,Impact of Big Data on IT, Unstructured Data analysis, Data Cleansing, emerging technologies for Big Data Analytics, Hardware Architecture, Analytics Application Architecture, Data architecture, Distributed frameworks : the emergence of Apache Hadoop, the Hadoop Ecosystem, Hadoop Infrastructure: Big Data Storage and Networking, Cloud computing, Google analytics, Amazon Elastic MapReduce, Amazon web services.
Text books:
Thomas H. Davenport and Jeanne G. Harris, Competing on Analytics: The New Science of Winning, HBS Press, 1st Ed., 2007.
Michael Minelli, Michele Chambers, Ambiga Dhiraj, Big Data, Big Analytics:
Emerging Business Intelligence and Analytical Trends for Today’s Businesse, Wiley CIO Series, 2013.
Reference Books:
Viktor Mayer-Schonberger , Kenneth Cukier, Big Data: A Revolution That Will Transform How We Live, Work, and Think, Hodden and Stoughton (2013).
Eric Siegel, Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, John Wiley and Sons Publications, 2013.
Frank J. Ohlhorst, Big Data Analytics : Turning Big Data into Big Money,Wiley (2012).
Rick Smolan and Jennifer Erwitt, The Human Face of Big Data, Sterling Publication (2012).
Kevin Roebuck , Big Data: High-Impact Strategies, Tebbo (2011).
KNOWLEDGE MANAGEMENT Objectives
To examine the issues underlying the design and development of knowledge management systems
Contents
Introduction to Knowledge Management, The Knowledge Edge, From Information to Knowledge, Understanding the importance of Knowledge, The technology push for Knowledge Management, Demystifying Knowledge Management, The Technology Perspective, The Process Perspective, The Learning System Perspective, The Knowledge Management tool box, Implementing Knowledge Management, The Knowledge Management Road Map, Knowledge Management System analysis, Design, and Development. Knowledge management and culture, Change Management, Knowledge Management and the learning organization.
Text Books
Amrit Tiwana; Knowledge management Tool Kit, 2002
Ashok Jashapara, Knowledge Management: An Integrated Approach, Prentice hall, 2004.
BUSINESS PROCESS MANAGEMENT Objective
To demonstrate the importance of Business Process Management for Enterprise SOA/ESA and develop an implementation and integration strategy for processes that leverages organizational and technical capabilities of an enterprise
Contents
Introduction to Business Process Management, The Evolution of Process Management, Enterprise Architecture and Business Strategy, Management with the House of Business Engineering (HOBE), Enabling Technologies for BPM, The BPM Transformation. The BPM Roadmap, The BPM Strategy, The BPM Set-up, The BPM Transition, Continuous Improvement, Build a Process-Centric IT, BPP- the BPM Enabler The Value of Bringing BPM and BPP together, Business needs to understand how SOA can enable BPM.
Text Books
J. H. Snabe, A. Rosenberg, C. Moller and M. ScavilloBusiness, Business Process Management: The SAP Roadmap, 2008
H. Smith and P. FingarBusiness Process management : the third wave, 2002
Reference Books
Ravi Anupindi, Sunil Chopra, Sudhakar D. Deshmukh, Jan A. Van Managing BusinessProcess Flows: Principles of Operations Management 3rd Edition (Paperback), 2012
Uday Pillai Deploying WebSphere BusinessProcessManagement V7 in Secured Production Environments (Paperback) Redbooks, 2011
Roger T. Burlton BusinessProcessManagement : Profiting from Process (Paperback) Sams 2001
IT STRATEGY Objective
To explore the concepts and activities involved in developing and delivering IT value to an organization, IT-Governance, IT-enabled innovation and reinventing IT capabilities.
Contents
Developing and Delivering on the IT Value Proposition, Developing IT Strategy for Business Value, Linking IT to Business Metrics, Managing Perceptions of IT; IT in the New World of Corporate Governance Reforms, Creating and Evolving a Technology Roadmap, The IT Budgeting Process, Information Management: The Nexus of Business and IT; Strategic Experimentation with IT, Enhancing the Customer Experience with Technology, Information Delivery: IT’s Evolving Role, Digital Dashboards, Managing Electronic Communications;
Developing IT Capabilities, IT Sourcing, Delivering IT Functions: A Decision Framework, Building Better IT Leaders: From the Bottom Up, Developing IT Professionalism, Case Studies.
Text Books
J. D. McKeen and H. Smith, IT Strategy in Action, Publisher: Pearson Higher Education, 2009
P. Weill and J. Ross, IT Governance, Harvard Business School Press, 2004 Reference Books
Peter Weill IT Governance: How Top Performers Manage IT Decision Rights for Superior Results
Jeanne W. Ross Enterprise Architecture As Strategy: Creating a Foundation for Business Execution, Harvard Business School Press 2006
Robert J. Benson and Tom Bugnitz From Business Strategy to IT Action: Right Decisions for a Better Bottom Line, 2004
IT RISK MANAGEMENT Objectives:
To enable organisation to accomplish its mission of risk management by
1. Better securing IT systems that store, prices or transmit organisational information 2. Enabling management to make well informed risk management decisions to justify
the expenditure that are part of IT budget
3. Assisting management in authorizing the IT systems on the basis of the supporting documentation resulting from the performance of risk management
Contents:
Objective of risk management .Overview of risk management and how it fits in System Development Lifecycle (SDLC).Risk Assessment Methodology – system Characterization, Threat, Identification, Vulnerability Identification. Types of Risk. Decision making under, risk and uncertainty, using models like decision tree, simulation & various testing techniques.
Strategies for various risk scenarios. Risk control & cost benefit analysis- Control Methodology, Control Category, Control Analysis Techniques. Risk mitigation process, including risk mitigation options and strategy. Risk evaluation & assessment and the factors that will lead to successful risk management program. Case studies
Text Books
IT Risk: Turning Business Threats into Competitive Advantage by George Westerman and Richard Hunter
Information Technology Risk Management in Enterprise Environments: A Review of Industry Practices and a Practical... by Jake Kouns and Daniel Minoli
Reference Books
NIST Special Publication 800-12, an Introduction to Computer Security: The NIST Handbook.
NIST Special Publication 800-14, Generally Accepted Principles and Practices for Securing Information Technology systems Co-authored with Barbara Guttman.
NIST special publication 800-26, Security Self-Assessment Guide for Information Technology Systems.
NIST Special Publication 800-27, Engineering Principles for IT Security.
ONB Circular A-130. Management of Federal Information Resources. Appendix III.
November 2000
Risk, Management guide for Information technology systems. Gary Stoneburmer, Alice Gogues and Alexis Feringa. Special Publication 800-30
SOFTWARE PROJECT MANAGEMENT Objective
To acquaint students with the know-how of managing the software projects and discuss on various stages of the software projects from the inception to the implementation
Contents
Introduction to Managing Software Development, Unified Modeling Language (UML) approach to Software process Planning and Scheduling Software Development, Rational unified process,Software process Management, Software Size and Schedule Estimation:Factors affecting Software Productivity, Software Estimation Metrics, Sizing Software, Risks of Current Software Estimation Metrics, Function Points &Adapting Software Estimation Metrics, Planning and Scheduling Software Development.
Text Books
Kathy Schwalbe, Information Technology Project Management, THOMSON LEARNING
G Ramesh, Managing Global Software Projects, Tata McGraw Hill
DATA ANALYSIS AND DECISION MAKING Objectives
To provide students lots of hands-on experience with real problems and to facilitate them develop problem-solving skills. To expose the students to the application of quantitative methods in solving real-world problems. To familiarize the students with the usage of computer software for data modeling and decision making.
Contents
Finding relationship among variables; Decision making under uncertainty; Regression Analysis; Time Series Analysis and Forecasting.
Text book
Data Analysis and Decision Making by S. Christian Albright, Wayne L. Winston, Christopher Zappe, South-Western CENGAGE Learning, 2009.
ADVANCED INFORMATION TECHNOLOGY FOR INDUSTRIAL &
MANUFACTURING ENGINEERING Objective
Principles, practices of technology development and its implementation and application in industrial and manufacturing engineering, services, products and systems
Contents
World Class Manufacturing. Computer-aided technologies in manufacturing. Manufacturing Excellence Using Business Intelligence, Knowledge Management, Robotics, Embedded Technologies. Fuzzy Logic. Integration of Business Processes and Manufacturing. IT’S Application for Industrial Engineering and Optimization
Text Books
World Class Manufacturing: Richard J. Schonberger
Computer integrated manufacturing and engineering by Ulrich Rembold, Bartholomew O. Nnaji, Alfred Storr
Reference
Top Management’s Guide to World Class Manufacturing by by Michael G. Tincher.
World Class Manufacturing A Strategic Perspective Author:B S Sahay, K B C Saxena, Ashish Kumar.
Computer-aided manufacturing by Tien-Chien Chang, Richard A. Wysk, Hsu-Pin Wang.
The Global Manufacturing Revolution: Product-Process-Business Integration and Reconfigurable Systems (Wiley Series in Systems Engineering and Management) By Yoram Koren
Computer Aided Manufacturing By T. K. Kundra
Computational Optimization and Applications in Engineering and Industry By Xin-She Yang, Slawomir Koziel
SOFTWARE ENGINEERING Objectives
To study information system development process, software analysis & design methodology for business applications by covering various aspects of software engineering like software process, Software Engineering practices, software management practices.
Contents
Software Engineering paradigm. Scope, process and its management, software, Life Cycle Model. System Modeling. Requirement Analysis. Business Process, Reengineering. Software development standards. Structured System Analysis and Design. SSAP notations, Tools techniques. Analysis & design using Object oriented design & UML. Modular Design. User Interface Design Software Quality Assurance Testing. Maintenance Software evaluation.
Costing of Software. Project Management. Risk Management Text Books
Pressman R S ‘Software Engineering – A Practitioner’s approach, MC Graw – Hill Inc.
Peter S, James, Pedrycz W. Software Engineering – An Engineering approach John Wiley & Sons
Reference
Booch, Rambaush Jackson, “Software Development using UML Addition – Wesley Press
Satzinger, ‘Object Oriented Analysis & Design ‘with Unified Process, CengageLearning