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WELCOME

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AA - speech recognition - flight info. BoA - biometric online banking ... RI - neural/imaging car control. Mazda - VR vehicle design/sim/mfg. 9. Compelling Examples ... – PowerPoint PPT presentation

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Title: WELCOME


1
WELCOME INTRODUCTION
  • IS3301 Session 0
  • Prof. Mark Nissen

http//web.nps.navy.mil/menissen/is3301/lectures/
i85l0.ppt
2
Agenda
  • Welcome Introductions
  • Decision Support Overview
  • Compelling Examples
  • Decision Exercise
  • Course Description Requirements

3
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)

4
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

5
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

6
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

7
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

8
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

9
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?

10
Decision Exercise
  • Network-upgrade decision
  • Form teams of 3
  • Ten minutes
  • Brief class
  • Exercise

11
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
  • Also
  • Improve competency in DM ITM
  • Intellectually-challenging MT

12
Course Synopsis
  • Three parts
  • DM support
  • DSS design development
  • Advanced applications
  • Integrate lecture, lab, cases, synopses,
    discussion project work
  • E-business project
  • Should be fun!

13
Course Expectations
  • Address course as mission essential
  • Be prepared responsible
  • Contribute assist as well as learn
  • Appreciate the absence of absolutes
  • Think beyond boundaries of mil units
  • Unwavering unquestionable ethics
  • Tips
  • Advance reading, active thought, op comparison,
    class participation, project independence
    teamwork, student skills

14
Syllabus Schedule
  • Contact
  • Overview
  • Objectives
  • Resources
  • Grading
  • Requirements
  • Policies
  • Schedule
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