WELCOME

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WELCOME INTRODUCTION

• IS4185 Session 0
• Prof. Mark Nissen

http//web.nps.navy.mil/menissen/is4185/lectures/
i85l0.ppt
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Agenda

• Welcome Introductions
• Decision Support Overview
• Compelling Examples
• Course Description Requirements
• Questions

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Welcome Introductions

• A bit about me
• NPS IS Acquisition faculty
• AI to innovate acquisition processes
• UC Berkeley CITM Haas School
• Ph.D. IS, M.S. SM, B.S. BA, other
• Dozen years management in aerospace
• Chartered DSS Department
• Married 2
• About you (forms)

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DSS Overview

• DM fundamental mgmt activity
• Mil/gov com environment
• DM speed quality key to war, bus
• Net-centric warfare
• E-commerce
• IT is mixed blessing
• Process access wealth of info
• Exponential knowledge info to filter
• Data-rich but information-poor environ

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DSS Overview

• DSS powerful IT
• Address this DM environment
• Integrates DB, OLAP, net, mod-sim, viz, solver,
  intelligent learning techs
• DSS/DM for competitive advantage
• All org levels, industry sectors
• Save time/money, increase efficacy
• Roles from expert agent to assistant

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DSS Overview

• Cognitive prostheses (Ford)
• Memory writing
• Arithmetic abacus/calculator
• Assembly power screwdriver
• Transportation automobile/airplane
• Chess Deep Blue
• War weapons
• DSS tools for DM action

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Compelling Examples

• AA - speech recognition - flight info
• BoA - biometric online banking
• Lockheed - I agents - manufacturing
• AdHunter - I agent - classifieds
• Heritage - ES - insurance underwriting
• Teknowledge - courseware conversion
• British Gas - data mining - drilling
• Irvine - ANN - missile defense
• Newham - face recog CCTV - crime

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Compelling Examples

• Franz - Y2K Reasoning2000 system
• INTELLIPATH - AMA approval
• pcOrder - PC config ordering
• Teknowledge - Web sales agent
• Others - ES for building design, Web sales,
  aircraft config, sub hunting, troubleshooting
• KM implications?
• Future?

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Compelling Examples

• Wal-mart - neural net data mining
• Stanford telecom - agent sat monitoring
• HAL - speech recog home control
• Tektronix - fuzzy/net help desk
• Met-Mex - expert zinc refining control
• Mr. Payroll - biometric check cashing
• RI - neural/imaging car control
• Mazda - VR vehicle design/sim/mfg

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Course Objectives

• Learn to structure, manage make complex
  decisions
• Learn to design, develop validate effective DSS
• Learn to appreciate gain exposure to advanced
  DSS technologies
• Improve competency in DM ITM

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Course Synopsis

• Three parts
• DM support
• DSS design development
• Advanced applications
• Integrate lecture, lab, cases, synopses,
  discussion project work
• Joint IS4183/85 e-acquisition project
• Should be fun!

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Syllabus Schedule

• Contact
• Overview
• Objectives
• Resources
• Grading
• Requirements
• Policies
• Schedule