Become Your Own Expert System!

Introduction to Intelligent Systems

Glossary Of Key Terms: Intelligent Systems

1.1. Intelligent Systems Explained

1.2. Applications Of Decision Support Systems (DSS)

1.3. Categories Of Decision-Making Within Decision Support Systems (DSS)

1.4. Key Features Of Expert System

1.5. Applications Of Expert Systems

1.6. Advancements In Expert Systems

1.7. Introduction To The Internet of Things (IoT) and the Internet of Me (IoMe)

1.8. The Proliferation Of Expert Systems

1.9. Interfacing Machine Learning (ML) with IoT

1.10. Simplistic & Complex Intelligent Agents Used By Search Engines

1.11. Inference Engines

1.12. Hardware Used In Intelligent Systems Part 1: Sensors, Microcontrollers & Actuators

1.13. Hardware Used In Intelligent Systems Part 2: Biometrics, Haptics, Touch & Gesture, VR & AR, Voice & Sound, Motors

1.14. Computational Thinking - Intelligent Systems

1.15. Introduction to Flowcharts

1.15.a. Flowchart Example: Login to a System

1.15.b. Flowchart Example: Counter

1.16. Introduction to Data Flow Diagrams (DFD's)

1.16.a. Data Flow Diagrams (DFD) Overview: Level 0

1.16.b. Data Flow Diagrams (DFD) Overview: Level 1

1.18. The Effects Of Disruptive Technology

1.19. The Disruptive Effects Of Intelligent Systems

1.20. Bias

1.21. Accuracy of Collected Data

1.22. Metadata

1.23. Data Security

1.24. Copyright & Acknowledgement Of Data Sources

1.25. Privacy, Trust & Freedom of Information

1.26. The Impact Of Emerging Technologies

1.27. Intelligent Systems Meeting Enterprise Needs

Short Answer Questions 1: Systems & Their Applications

2.1. Types Of Hardware: Communication Devices

2.2. Types of Hardware: Storage Mediums & Methods

2.3. Transmission Media

2.4.b. Network Hardware: Nodes & Endpoint Devices

2.4.c. Network Hardware: Storage

2.4.d. Network Diagram Example 1: Wired & Wireless Connections

2.4.e. Network Diagram Example 2: Creating Larger Networks

2.4.f. Network Diagram Example 3: Smart Home Network

2.5. Surplus Data In An Intelligent IoT Network

2.6. The Application of Simulation, Data Modelling & Automation In Enterprises

2.7. Education & Training

2.8. Business Analytics

2.9. High-Risk Applications

2.10. The Role Of Intelligent Systems In Surveillance

2.11. A.I. Supporting Efficiency In An IoT Network

Short Answer Questions 2: Data & Intelligent Systems

3.1. Understanding IF / THEN Logic In Algorithms

3.2. Introduction To Developing Expert System Rules

3.2.a. Developing Expert System Rules Example 1: Smart Irrigation System (Agriculture)

3.2.b. Developing Expert System Rules Example 2: Factory Machine Maintenance Alert System (Manufacturing)

3.3. Introduction to Decision Trees

3.4. Apply Certainty Factors Through A Decision Tree

3.5. Verify Data Sources Used In A Decision Support System (DSS)

3.6. Use A Flowchart To Develop A Knowledge Base Of IF-THEN Rules

3.6.a. Flowchart [IF / THEN Rules] Example 1: Security Door System

3.7. Design & Model An Automated Smart System

3.8. Implement Automated Processing Using Software

3.9. Assessing Output Produced By A Decision Support System (DSS)

3.10. Expert Systems Contributing To The Efficiency Of Intelligent Systems

Short Answer Questions 3: Creating Intelligent Systems

Short Answer Questions 1: Systems & Their Applications Answers

Short Answer Questions 2: Data & Intelligent Systems Answers

Short Answer Questions 3: Creating Intelligent Systems Answers

TEMPLATE: Intelligent Systems Notes Document

SYLLABUS DOCUMENT: Intelligent Systems

COURSE SPECIFICATIONS: Enterprise Computing