Course Outline

Module 1: Introduction to Knowledge-Based Systems

• Defining knowledge-based systems
• Exploring real-world applications
• Understanding system components
• Using Jupyter Notebook for planning
• Case Study: Assess system requirements

Module 2: Setting Up Your Development Environment

• Installing Python and libraries (PyKE, spaCy)
• Configuring a code editor (VS Code)
• Creating a project directory
• Using pip for package management
• Case Study: Set up a Python environment

Module 3: Data Representation

• Representing knowledge in systems
• Using structured data for facts
• Applying semantic knowledge representation
• Using RDFlib for data structures
• Case Study: Design a data model

Module 4: Python Basics for Knowledge Systems

• Reviewing Python programming essentials
• Exploring libraries (PyKE, RDFlib)
• Setting up a Python project
• Using Python’s data structures
• Case Study: Build a simple knowledge script

Module 5: Building a Knowledge Base

• Storing facts and rules
• Querying the knowledge base
• Creating a Python-based knowledge base
• Using SQLite for storage
• Case Study: Develop a knowledge base

Module 6: Inference Engines

• Understanding inference engines
• Implementing forward and backward chaining
• Building an inference engine in Python
• Using PyKE for inference
• Case Study: Create an inference engine

Module 7: Rule-Based Systems

• Defining rules and conditions
• Building a rule-based system
• Implementing a rule engine in Python
• Using CLIPS for rules
• Case Study: Design a rule-based system

Module 8: Expert Systems

• Exploring expert systems
• Designing an expert system
• Integrating with a knowledge base
• Using Python for expert systems
• Case Study: Build an expert system

Module 9: NLP and Chatbot Development

• Applying NLP for knowledge extraction
• Creating a chatbot with rule-based systems
• Handling user input and responses
• Using spaCy for NLP
• Case Study: Develop a chatbot

Module 10: Testing and Optimization

• Testing knowledge-based systems
• Debugging common issues
• Optimizing system performance
• Using pytest for testing
• Case Study: Test and optimize a system