Module I: The concept of a system, systems and cybernetics. Systems approach to management. Emerging paradigm, customer centered management systems, Flexible Management Systems. Management Systems in various countries: Western Management Systems, Japanese Management Systems, Indian Management Systems. Organizational culture and value systems. Module II: Management systems in operation: Strategic Planning Systems, Management Control Systems, Financial Information Systems, Marketing Management Systems, Logistics and Distribution Systems, Systems for Human Resources Planning and Management. Module III: Methodology for developing Management Systems, Optimization and Learning Systems methodologies, Microworlds, Continuous Improvement and Reengineering of Management Systems. Organizing to improve systems.

Module I: System development methodologies; Requirements analysis and determination. Requirements engineering. Structured approaches to business systems analysis. User driven business analysis. Role of the consultant. Module II: Requirements specification. Application prototyping. CASE methodologies and techniques; Systems design; Data-driven approaches (E-R Modeling, Warnier-Orr Diagrams). Process-driven approaches (Gane and Sarson and Yourdon techniques). Traditional work flow methods. Module III: Object-oriented analysis and design. Verification and validation of business system design. Limits to analysis and design trade offs. IBM's Business Systems Planning approach. Business Systems Applications.

Module I: Survey of information systems and technology. Concepts of information; Information as a resource. Types of information systems - MIS, DSS, TPS, on-line systems, executive support systems, real-time systems, expert systems. Module II: Information Systems planning, architecture, and prioritization, Flexibility in Information systems and MIS success, Quality and value of Information, User Involvement, MIS life cycle. Evaluation of Information Systems. Role of Top Management. Module III: Organizing for managing information resources; data administration and information management, Data center administration. Outsourcing, IS security. Managing technology-driven change. End-user computing. Training for IS users and managers.

Module I: The management support framework for computers. Fundamentals of decision theory and decision modeling. Humans and information processors and IS as decision systems. Human decision styles. Module II: Models, heuristics, and simulation. Overview of DSS - database, modelbase, user interface. DSS development methodology and tools. Need for expertise in decision models and expert systems. Expert systems fundamentals. Knowledge engineering, representation and inferencing. Building expert systems. Module III: Integrating expert systems and DSSs. Strategies for implementing and maintaining management support systems. Case studies, and laboratory and field projects.

Module I: Manufacturing Systems Classification, Role and scope of automation and its economics. Analysis and Design of automated flow lines and assembly systems for high volume production systems. Automated materials handling, storage and retrieval. Industrial Robots-selection and application. Module II: Concurrent Engineering, Computer-aided Design, Drafting, Process Planning and Estimation. Group Technology and Cellular Manufacturing Systems. Flexible Manufacturing Systems-planning and decision models for design and performance evaluation. Management of manufacturing flexibility. Module III: Information Technology for Enterprise integration. Computer integrated manufacturing systems economic justification and human dimensions in implementation. Case studies in implementation of intelligent CIMS.

Module I: Emerging IT. IT for competitive advantage, internal effectiveness and inter-organizational linkage. Advances in database, data communication, application development, knowledge-based and multi-media technologies. Module II: IT Planning (CSFs, Scenario analysis, Linkage analysis, Enterprise modeling). Strategy formulation techniques. Nolan's stage model and revised models. IT investment decisions. Methods for evaluating IT effectiveness. IT-enabled business process redesign. Module III: Relating IT to organizational leadership, culture, structure, policy and strategy; Programmer productivity. Managing legacy systems; Evaluating centralization-decentralization issues. IT-forecasting.

Module I: Evolution of database technology. Limitations of file systems. Database systems-hierarchical models (IMS architecture- DBD, PSB), network models (DBTG DDL and DBTG DML), and relational models (normalization and relational calculus). Module II: Database systems- hardware, software, data, people. Database systems and their organizational development. Database development life-cycle. Logical database design. Implementation design. Module III: Database implementation. Knowledge-base systems and natural languages. Database administration and control. Distributed database systems. Database applications for organisational effectiveness and competitive advantage.

Module I: Communication fundamentals - transmission and transmission media. Communication techniques; transmission efficiency. Decision models for analysing and implementing data communication alternatives. Module II: Wide area networks, local area networks, ISDNs; OSI architecture, IBM's SNA, Digital’s DNA, Internetworking; Distributed applications - EDI, Email, file transfer, conferencing. Enterprise networking. Module III: Commerce on the Internet. Designing and costing networks; Network security; network management requirements; network performance indicators; performance monitoring; SNMP and CMIP. Local area network management.

Module I: Software development paradigms; Estimation; Estimating resources (people, hardware, and software); Cost estimation; Lines of code and function point estimates. Empirical estimation models (COCOMO, Putnam, and function-point models). Qualitative estimates using Delphi. Module II: Risk analysis (identification, projection, and assessment). Scheduling (task definition, granularity, and parallelism; effort distribution; WBS). Tracking; Metrics for software productivity. Software feasibility studies, economic analysis, technical analyses, and trade-offs. Module III: Software quality factors. The software maturity model; Metrics for software quality; Formal approaches for software quality assurance. Quality standards for software. Documentation Standards and quality certification process.

Module I: Introduction to classes of on-line systems. Analysis, design, and documentation of on-line business information systems. Ward and Mellor extensions for real-time DFDs. Case studies. Module II: Computer architecture for on-line systems, centralized systems, Client-server systems. Requirements analysis, functional specification, file design, man-machine dialog design, Response-time requirements, user psychology. Module III: Quantitative analysis of performance and reliability. Techniques for documentation of large-scale systems. Costing of on-line systems. Implementation guidelines. Issues in transition from manual to automated systems.

Module I: Nature, significance and rationale of BPR, Reengineering scenarios in major countries, Problems, issues, scope and trends in BPR, Implementing BPR: Methodology and steps, IT enabled reengineering, mediation and collaboration. Module II: The paradigm of Mass customization, managing organisational change, Transforming or Reinventing the enterprise, Team building. Case studies of success as well as failure. Module III: People view, empowering people, reengineering management. Issues of purpose, culture, process and performance, and people.