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information-systems-polban

Updated 27 Oct 2026

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Overview
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  Organizational information systems, stakeholder needs, introductory data science, and BPMN.
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  Includes the course’s classification, association, clustering, and regression examples; Camunda Modeler is used on Linux.
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Materials
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  Information systems, decisions, and requirements
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  Data science and classification
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  Association rules and clustering
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  Regression and least squares
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  BPMN and Camunda Modeler
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  Domain models, data models, and business rules
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  archive
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    Design & Development Foundations
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    Design Thinking
    
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    Software Development Tools
    
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    Unavailable reference
    
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    Information System Fundamentals
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    Information System
    
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    IPOS Cycle
    
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    Information Systems Hierarchy
    
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    Transaction Processing System (TPS)
    
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    Management Information System (MIS)
    
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    Decision Support System (DSS)
    
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    Executive Information System (EIS)
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    IS Analysis for Decison-Making
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    External Data Integration for Decision-Making (IS)
    
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    Business Domain Data Sources & Applications
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    Data and organizational understanding
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    Data
    
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    Information
    
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    Unavailable reference
    
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    Wisdom
    
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    DIKW Hierarchy
    
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    Information Literacy
    
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    Computer Literacy
    
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    Database History
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    Stakeholder analysis
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    Stakeholder
    
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    Stakeholder Identification
    
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    Stakeholder Analysis
    
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    Power-Interest Grid
    
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    Stakeholder Mapping
    
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    Types of Requirements
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    Identification techniques
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    Brainstorming
    
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    Unavailable reference
    
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    Interview
    
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    Business Process Modeling
    
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    Risk Analysis
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    Data science foundations
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    Z-Score
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    Classification
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    Unavailable reference
    
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    Decision Tree
    
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    Unavailable reference
    
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    Information Gain
    
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    Naive Bayes
    
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    K-Nearest Neighbors
    
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    Unavailable reference
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    Association
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    Unavailable reference
    
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    Apriori Algorithm
    
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    ECLAT Algorithm
    
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    FP-Growth
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    Clustering
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    Unavailable reference
    
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    K-Means Clustering
    
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    Euclidean Distance
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    Regression and estimation
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    Regression (Data Science)
    
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    Linear Regression
    
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    Unavailable reference
    
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    Maximum Likelihood Estimation
    
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    Gradient Descent
    
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    Root Mean Square Error
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    Business process modeling
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    Business Process Modeling
    
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    Business Process Model and Notation (BPMN)
    
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    Unavailable reference
    
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    BPMN Connecting Objects
    
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    BPMN Pools and Lanes
    
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    Camunda Modeler
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Shared foundations
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  Stakeholders and requirements
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Assignments
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  Penugasan Kuliah Mg01 @ teams
  
  Deadline
  1788840000000
  Status
  Done

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