(R2): Neural Networks, Fuzzy Logic, Genetic Algorithms by S. Rajasekaran
ELECTIVE SUBJECTS
GROUP I : BUSINESS APPLICATIONS OF IT
Subject Code
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J0302BIT01
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Title
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Design of E-Commerce Applications
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Work Load Per Week
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L:3 T:1
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Examinations
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Int: 30 Univ: 70
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Objectives
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This course aims to cover the study concepts of E-commerce, E-commerce securities, E-commerce payment systems and various e-commerce applications.
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Learning Outcomes
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At the end of the course students should understand the overall knowledge of E-commerce,
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Pre-requisites
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Text Book(s)
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E-commerce Concepts, Models, Strategies by
C. S. V. Murthy
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Syllabus
UNIT-1
Overview of E-commerce
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Brief History of E-commerce, Definitions, Broad Goals of E-commerce, Technical Components, Functions of E-commerce, prospectus of E-commerce, Scope of E-commerce, Advantages, Disadvantages, E-commerce Technical Architecture, E-commerce strategies, E-commerce foundations, E-commerce goals V/s Business goals, E-commerce V/s Traditional Business, Segments of E-commerce, B2C, B2B, C2C, C2B ecommerce, Value Chain in E-commerce.
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UNIT-2
E-Commerce and Internet
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Electronic Data Interchange, types of EDI, IT industry in India Internet Service Providers, types of ISP, Choosing an ISP, Communities of Internet, Cookies, World Wide Web and E-commerce, Domain Name, Electronic market dimensions, Upgrading capacity of sites, Electronic business Execution frame work, role of Intranet in B2B applications,
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UNIT-3
E-commerce Security
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Security issues, Privacy issues, Basic computer security, security tools, Secure transaction, Security threats, Risk , Hacking, Viruses, Denial of Service Attacks, Malicious Code, Intruders, Attacking methods, Cryptography, Types of Cryptography, Data Encryption Standard, Firewall, Digital signature, Digital Certificate, Client Server Network security, Disaster Recovery, Secure Electronic Transactions, Secure Socket Layer, Internet security protocols, Network security, Information Technology Act
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UNIT-4
E-commerce Payment System
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Overview of Electronic Payment technology, limitations of the traditional payment system, Requirements for E- Payment system, Electronic or digital cash, electronic checks, Online Credit Card payment system, Smart Card, How all E-commerce payment system works, Electronic Fund Transfer,
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UNIT-5
E-commerce Applications
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Electronic Commerce and Banking, Electronic commerce and retailing, Electronic commerce and online publishing, Online Marketing, E-advertising, E-branding, Mobile Commerce
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Reference Books:
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Electronic Commerce A Manager’s Guide by Ravi Kalakota and Andrew Whinston,
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E-Commerce A managerial perspective by P. T. Joseph.
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Electronic Commerce from Vision to Fulfillment by Elias M. Awad.
Subject Code
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J0302BIT02
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Title
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Intelligent Decision Support Systems
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Work Load Per Week
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L : 3 T: 1
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Examinations
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Int : 30 Univ. : 70
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Objectives
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The objective of the course is to provide an understanding of Decision Support System for Management decisions. The prerequisite for the course is knowledge of MIS. Every day managers must make countless decisions that affect them, their work groups, and the organization as a whole. Making decisions are often the most difficult part of a manager is responsibilities. This course deals with concepts, methods, applications of decision modeling to address various business issues. The basic objective of this course is to provide with an understanding of the key technical and managerial issues in the effective development and use of decision support systems in organizations. While highly effective decision support systems using traditional approaches and tools will be discussed, the focus of this course will be advanced techniques and tools to support decision making process.
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Learning Outcomes
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Text Book(s)
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• Efraim Turban, Jay E. Aronson, Ting-Peng Liang: DSS and Intelligent Systems, PHI & Pearson Education, 2007.
• Macllah: Decision Support Systems and Data Warehousing, Tata McGraw-Hill, 2003.
• Stevenson, Introduction to Management Science, 1/e, Tata McGraw-Hill , 2007.
• James A Obrien, george M Marakas: Management Information systems, 7/e, Tata McGraw-Hill, 2007.
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Lecture
Number
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Topic Details
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01
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Managerial decision making and information systems Decision- Making and Computerized support- Management support systems : an overview, decision-Making Systems, Modeling, and Support Requirement for decision support for decision making and other executive work, Human decision making heuristics and bounded rationality, Types of Decision Support Systems
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02
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DSS architecture, Decision modeling and analysis, Decision Support Developments, Executive Information Systems, Data warehousing, access, analysis, mining and visualization.
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03
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Deterministic Models: Models Required to Cope With Uncertainty, Probabilistic Models and Fuzzy Sets, Fuzzy DSS and Fuzzy Expert DSS. Application of DSS to Some Functional Areas of Management Like Finance, Marketing, Production Planning and Control Etc. Non-Optimizing Models of DSS, Simulation Techniques and Monte- Carlo Methods.
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04
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Group Decision Support Systems Intelligent Decision support systems
• Knowledge-based decision support systems
• Knowledge acquisition and validation
• Knowledge representation
• Inference techniques Decision Making Under Uncertainty
• Understanding risk in making decisions
• Managerial risk taking and organizational decision making
• Modeling uncertainty
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05
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Advanced Techniques
• Neural Network fundamentals
• Neural Network Architecture
• Simple Neural Network applications
• Genetic Algorithm
• Fuzzy Logic
• Fuzzy Sets in decision making
• Intelligent software agents and creativity
• System integration and future of DSS.
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06
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Application of DSS: Technical Feasibility and Financial
Viability of DSS. Advantages and Limitations of DSS –
Contemporary practices.Case Studies in any one functional area
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Subject Code
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J0303BIT03
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Title
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Knowledge Management
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Work Load Per Week
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L:3 T:1
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Examinations
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Int: 30 Univ: 70
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Objectives
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To provide different management techniques to handle knowledge .
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Learning Outcomes
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After completion of this course students will be able to handle data using KM tools, techniques and methods. They will able to solve relevant cases.
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Pre-requisites
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--
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Text Book(s)
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Knowledge Management Elias Awad & Hassan Ghaziri
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Syllabus
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UNIT – 1: Introduction To Knowledge Management
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What is knowledge Management? , evolution of KM, challenges of KM, benefits of KM, KM myths, reasons for implementation of KM, Understanding terms-data, information, knowledge, intelligence, experiences, common sense, Attributes of knowledge, KM drives, Types of knowledge, expert knowledge, human thinking and learning, Challenges in building KM system, conventional versus KM life cycle, KMLC: System justifications, role of rapid prototyping, selecting an expert, role of knowledge developer, user training, Implementation of KM system, case study.
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UNIT – 2: Knowledge Creation
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Knowledge Creation, Nonaka’s Model of Knowledge creation and Transformation, Knowledge architecture: people core, identifying knowledge centers, Technical core, build in home, buy and outsource, Capturing Tacit Knowledge: What is knowledge capture, evaluating experts- levels of expertise, capturing single versus multiple experts tacit knowledge, Pros and cons of using single and multiple experts
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UNIT - 3: Developing Relation With Experts
Developing Relation With Experts: Creating the right impression, understanding the expert’s style, preparing for session, approaching multiple experts, Fuzzy Reasoning And Quality of knowledge Capture: analogies and uncertainties in information, understanding experiences, language problem, Interview as an tool: interviews, types of interviews, Guide to successful interview: setting the stage and establishing rapport, phrasing the questions, question construction, things to avoid, Reliability of information from experts, errors made by developer, problems during the interview, ending the interview, Other Knowledge Capture Techniques: On site observation, brainstorming, protocol analysis, NGT- Nominal Group Techniques, Delphi Method, Concept mapping, black boarding
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UNIT - 4: Knowledge Codification
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What is knowledge codification, why codify? : diagnosis, instruction, interpretation, planning, prediction, Modes of knowledge conversion, how to codify knowledge, Codification Tools: knowledge maps, decision tables, decision trees, frames, Codification Procedures: procedures rules, case based reasoning, knowledge based agents, Knowledge Developer Skill Set: knowledge requirements, skill requirements, Quality and Quality Assurance,
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UNIT - 5: Knowledge Testing
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Knowledge Testing: definition and related issues, Approaches to Logical testing: circular errors, redundancy errors, unusable knowledge, subsumption errors, inconsistent knowledge, Approaches to User Acceptance Testing: Test team and plan, user acceptance test criteria, user acceptance test techniques, Managing the testing phase, KM System Development, Issues related to deployment: selection of the knowledge base problem, ease of understanding KM system, knowledge transfer, Integration alternatives, the issues of maintenance, organizational factor, User training and Deployment: Preparing for KM system training, combating resistance to change, Post implementation review: Security considerations
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UNIT - 6: Knowledge Transfer And Sharing
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Knowledge transfer as a step in a process: knowing-doing gap, prerequisites for transfer, Transfer methods : nature of problem, transfer strategies, inhibitors for knowledge transfer, how knowledge is transferred, Role of Internet in knowledge transfer: internet service providers, stability and reliability of the web, unique benefits of the internet, limitations,
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UNIT - 7: Ethical, Legal And Managerial Issues
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Knowledge owners: knowledge for sale, releasing knowledge gained on the job, becoming expert via a corporate knowledge-based system, Legal Issues: Liability question, basis of liability, copyright, trademarks, trade names, warranties, strict liability, Legal disputes in KM, web linking and domain name disputes, Ethics Factor: What is ethics, ethical decision cycle, major threats to ethics KM Tools, Cases.
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Reference Books:
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Leading with Knowledge – Knowledge Management Practices in Global Infotech by Madanmohan Rao, Tata McGraw Hill
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Knowledge Management System by Barnes S
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Knowledge Management Strategies by Honeycut, Prentice Hall of India
Subject Code
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J0303BIT04
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Title
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IT Enabled Services
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Work Load Per Week
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L: 3 T: 1
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Examinations
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Int: 30 Univ: 70
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Objectives
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To develop the skills to understand the process involved in ITES and learn the management skills for ITES Projects. Basics of IT services management skill set is imparted through this course. In addition, domain specific skills e.g. service level management for finance KPOs etc. will be imparted for specific and predominant domains.
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Learning Outcomes
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Pre-requisites
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Reference Book(s)
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Nasscom’s Handbook on IT Enabled Services, By Nasscom
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MGI (McKinsey Global) reports 2006 and 2007 excerpts
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ITES Case Studies from wipro/ Infosys/ IBM etc.
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Service Level Management and SLA : resources from the Internet
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Syllabus:
Unit 1: Global Outsourcing Market on a growth path:
Introduction, Evolution of ITES, Key Drivers of ITES, Key benefits of IT enabled outsourcing.
Unit 2: The Indian IT Enabled Services Market:
The Indian IT Enabled outsourcing market: Existing size, Market Segmentation.
Unit 3: The Indian Contract Services Market:
Contact centers, Market size, Market Processes, Value Proposition, and Future of Indian contact center market.
Project Work: Project on Indian Contract Services Market.
Unit 4: Software Technologies & Frameworks:
Introduction to Relevant Internet & Web Applications for ITES, Voice over IP, IP telephony, groupware, SMTP, SOAP, BizTalk servers.
Unit 5: The Medical Transcription Market:
Market Processes, Market size, Setup of Medical Transcription, Customers for MT units
Unit 6: Back Office Operations, GIS, Animation, Engineering and Design Services, online Training:
Business Process Outsourcing, GIS Services, Content development and animation, Engineering & Design Services.
Project Work: Project on Back Office Operations, GIS, Animation, Engg. & Design Services
Unit 7: Service Desk management:
Types of Service Desks, benefits and demerits of each type, suitability of a particular type to a specific business context
Unit 8: Service level agreements:
What are the components how to develop good SLA penalty clauses – performance clauses – templates of SLAs Example SLAs for various outsourced services e.g. VOIP, financial reporting.
Unit 9: Service Level Management:
Process metrics how to design – how to capture data on process metrics – how to monitor – SLM software / workbenches – SLM reports – workflows for SLM.
Project work: SLA design for any domain specific services – role plays
Unit 10: Disaster Recovery Strategies:
Importance & General Strategies for organizing Disaster Recovery, Business Impact of a Disaster.
Unit 10: Business Models Driving IT Enabled Service: In-house/Captive centers, Building Success strategies for in-house ITES & 3rd party providers, third Party Services providers.
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