MODELING AS A DESIGN TECHNIQUE

 Testing a physical entity before building it.  Communication with customers  Visualization  Reduction of complexity

THREE TYPES OF MODEL

 class model  state model  interaction model

DEVELOPMENT STAGES

 System Conception  Analysis  System Design  Class Design  Implementation  Testing  Training  Deployment  Maintenance

How is it used in Civil Engineering

 Helps make better decisions.  Minimize or lessen mistakes  Improves efficiency and performance.  Organized database

Softwares used in DBMS

 Microsoft Excel  MS Project  Primavera  BIM System (AutoCAD, Revit, ArchiCAD etc.)

Role of Excel in Civil Engineering

 Applied in: Structural Design Material and Cost Estimation Project Scheduling  Automates computations using formulas.  Reduce manual calculation errors

Important Engineering Applications of Excel

 Quantity Takeoff and Material Estimation  Cost Estimation & Budgeting  Inspection & Test Plan

Other Uses of DBMS Software

 Business Applications  Education Sector  Healthcare  Banking & Finance

Advantages of Using DBMS

 Data Organization  Data Accuracy & Consistency  Easy Data Access  Better Decision-Making

Challenges in DBMS Implementation

 Data Quality Issues  Training Requirements  Scalability Concerns  System Integration

Key Features of automated information discovery

 Automation  Data Integration  Visualization  Pattern Recognition  User Accessibility

How Automated Data Discovery Works

 Collects data from multiple sources (databases, files, systems)  Organizes and prepares the data for analysis  Uses algorithms to detect patterns, identify trends, and find relationships  Display results using charts, graphs, and dashboards

Importance of Automated Data Discovery

 Saves Time  Improves Accuracy  Better Decision-Making  Handles Big Data  Increases Productivity

How does data warehousing work

 Extract  Transform  Load

Data Warehouse Architecture

 Top Tier  Middle Tier  Bottom Tier

Types of Data Warehousing

 Enterprise Data Warehouse (EDW)  Operational Data Store (ODS)  Data Mart

Key Features of data warehousing

 Centralized data storage  Historical data tracking  Fast query performance  Structured and organized data

Benefits/Advantage of using Data Warehouse

 Better decision-making  High-quality, clean data  Supports AI and analytics  Easy reporting and dashboards  Single source of truth

Drawbacks/Disadvantage of using Data Warehouse

 High Cost  Time Consuming Setup  Complexity  Not-Real Time (In some cases)  Maintenance Required

Uses of Data Mining

 Predicting customer behavior and trends  Fraud detection and prevention  Risk modeling and management  Market analysis and business decision making  Corporate performance analysis

Real World Applications Of Data Warehousing & Data Mining

 Concrete quality control  Construction project management  Structural health maintenance  Transportation engineering  Disaster risk management  Geotechnical engineering

OBJECTIVES OF WEB-CONS

 Improve Communication  Better Project Monitoring  Centralized Data Management  Increase Efficiency  Support Decision Making

SYSTEM FLOW

 User inputs data  Data Send to Server  Stored in Database  Results Displayed to user

DEVELOPMENT PROCESS

 Planning  Design  Coding  Testing  Deployment

FUNCTIONS OF WEB-BASED DEVELOPMENT SYSTEMS

 Project team development  Communications  Bidding Module  Information Control  Progress Control  Reprographic Module

FEATURES OF WEB-BASED DEVELOPMENT SYSTEMS

 Global Accessibly  Enhanced Collaboration  Efficiency and Accuracy  Real time progress tracking  High quality data management  Knowledge retention

ADVANTAGES OF WEB-BASED CONSTRUCTION SYSTEM

 Real Time Collaboration And Communication  Document Management And Accountability  Resource And Cost Efficiency

DISADVANTAGES OF WEB-BASED CONSTRUCTION SYSTEM

 Technical Vulnerability  Economic Burden  Human and Data Reliability