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  • 8/6/2019 MISLectureNotes99Fall01Lecture01

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    Management Information Systems90-728

    Heinz School for Public Policy and

    ManagementFall Semester 1999

    Instructor: Michael P. Johnson

    Teaching Assistants: Dana Berger, Cordell Carter, KarthikChandrasekar, Robin Groce, Ruth Kolb, Shawn

    McClory (Head TA), Gersande Ringenbach, Qiu Yang

    (grader)

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    Course Goals and Topics

    Course Goals:

    Be able to design information systems at the conceptual level using a

    variety of models

    Self-learn and effectively use a suite of software packages

    Learn methods to determine users' information requirements

    Use a team approach to build a real database application Be able to make concrete assessments and recommendations for

    public-sector IS acquisition, development and deployment

    Course Topics:

    IS overview: conceptual foundations, hardware, software, Internet

    Database design and implementation

    Systems analysis and design life-cycle, including project management

    Web authoring and web-enabled database applications

    IS policy issues and system implementation in the public sector

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    Class Meeting Times and Texts

    Meeting Times Lecture: Tuesday 2:00 PM - 3:30 PM Room 1000 HbH

    Labs: Thursday 2:00 PM - 3:20 PM (A), 11:00 AM - 12:20 (B), 3:30

    PM - 4:50 PM (C) Room A100 HbH

    Workshops: Friday 9:30 AM - 10:50 AM (A), 11:00 AM - 12:20 PM

    (B), 12:30 PM - 1:50 PM (C) Room A100 HbH Discussion Sessions: days, times and rooms TBA

    TA Office Hours: days, times and rooms TBA

    Texts

    Microsoft Access 2000 Step by Step

    Microsoft FrontPage 98 Illustrated Standard Edition

    Photocopied readings (available from Prof. Johnsons administrative

    assistant, Connie Lucas, for $29)

    Lecture notes and handouts

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    Course Policies and Guidelinesy Grading:

    Homework (8) - 20%Exam 1 (in-class) - 25%

    Exam 2 (in lab) - 25%

    Class project - 30%

    y Group consultation is encouraged but all submitted work must be original

    y Course information, data, updates and announcements on: Web site http://www.andrew.cmu.edu/course/90-728/

    Electronic bulletin board (b-board) org.heinz.90-728

    Heinz LAN directory r:\academic\90728

    personal e-mail

    y If you have questions: Check the electronic resources

    Consult with the TAs (discussion sessions, office hours, or e-mail)

    Ask the professor (office hours, by appointment, or e-mail)

    y Always backup your work, whether done at home or in computer lab!

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    Information Systems Fundamentals

    An Information System is a set of (primarily) electroniccomponents that collect, analyze and disseminate data and

    information to meet an objective.

    Data: raw facts, e.g. text, image, audio, video. By itself, data

    cannot help us make decisions

    Information: aggregation, analysis and selection of data that

    enables organizations to meet objectives. Some characteristics

    of information:

    accurate

    reliable

    relevant

    verifiable

    valuable

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    Information Systems Fundamentals (contd)

    System: a collection of elements or components that

    interact to accomplish goals. Composed of:

    Inputs

    Processing mechanisms

    Outputs Feedback/assessment

    Many processes, whether or not they have a significant IS

    component, can be viewed assystems:

    Personnel management

    University admissions

    Production and inventory management

    Criminal justice system

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    Information Systems Fundamentals (contd)

    Organizations may be classifiedaccording to the systems they

    employ:

    Simple vs. complex

    Open vs. closed

    Stable vs. dynamic Adaptive vs. nonadaptive

    Permanent vs. temporary

    System performance can be measuredalong three dimensions:

    Efficiency

    Effectiveness

    Equity (fairness)

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    Information Systems Fundamentals (contd)

    Systems are designed, implemented and managed using models:abstractions of reality that allow us to apply principles assumed

    to hold true for many different systems

    Model types:

    Narrative model, e.g. verbal descriptions of model features, goals,

    resources

    Physical model, e.g. prototypes, mock-ups

    Schematic model, e.g. graphs and flowcharts

    Mathematical, e.g. equations and relations

    All models are based on assumptions, e.g. market conditions,legal restrictions, physical performance limitations. Assumptions

    must be well-known and consistent

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    Information Systems Components

    Inputs: raw data

    May be physical, electronic or conceptual

    May use a manual or automated process

    Processing: conversion of inputs to outputs

    May be comprised of computations, data storage, choosing alternatives

    May be a manual or automated process

    Outputs: information used to make decisions

    May be delivered in paper form or electronically

    Outputs of one system may be inputs to another system

    Feedback/assessment: outputs used to improve systemperformance

    Can flag for incorrect processing

    Cue for managerial interventions

    Supply estimates of future input values (forecasting)

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    Computer-BasedIS Components Hardware, computer equipment used for

    input processing outputs

    Software, computer programs that run on hardware: systems software applications software

    Databases: specialized applications software designed to

    organize data and information on an organizations operations

    Infrastructure: equipment designed to link hardware across

    space:

    telecommunications networks Internet

    People: IS personnel and users

    Procedures: rules for developing and using the IS

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    Business Information Systems Transaction processing: automation of routine, labor-intensive

    processes payroll customer purchases accounts payable

    Transaction processing systems have historically been mainframe-

    based, often run in batch, using older, less flexible technology. E-commerce: commercial transactions conducted electronically

    business-to-business business-to-consumer public sector-to-business

    public sector-to-customerValue of E-commerce is estimated at $434 billion, with about

    20% of total devoted to business-to-customer transactions

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    Business Information Systems (contd)

    Management information systems: collection of people,procedures, software, hardware and databases designed to

    generate information for management decisions about

    organization strategy. MISs may comprise: Marketing MIS

    Financial management MIS Operations MIS Transaction processing systems

    Decision support systems: an MIS intended to address specific,

    complex decision problems requiring interaction of managerial

    and machine expertise. Composed of: Database Models User interface Reporting

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    MIS Demo: Workforce TrainingInformation

    System (Fall 1998) Policy context

    Increase in spending on local constuction

    Need to remedy lack of minority participation in construction

    Increased govt funding for organizations that can show positive

    results from job training programs Desired features

    Registration information on all program participants

    Assignment of participants to training program classes

    Recording personal and class outcomes

    Implementation

    Relational database application using Microsoft Access97

    Web pages describing project teams, problem and solution using

    Microsoft FrontPage98 (http://pirate.heinz.cmu.edu)

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    Information System Development

    Analysis and Design problem definition

    justification of solution approach

    system requirements

    project team

    conceptual application model

    Implementation Prototyping

    Large-scale development

    Testing

    Deployment

    Maintenance and Review Evaluation of delivered product

    Customer support

    Upgrades

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