Chapter 1: Introduction to Lisp
- Lesson 1: What is Lisp?
- Lesson 2: History and Evolution of Lisp
- Lesson 3: Lisp Dialects (Common Lisp, Scheme, Clojure, Racket, etc.)
- Lesson 4: Lisp Applications and Use Cases
- Lesson 5: Setting Up the Lisp Environment
- Lesson 6: Writing Your First Lisp Program
- Lesson 7: Introduction to Lisp Syntax and S-Expressions
Chapter 2: Variables, Data Types, and Constants
- Lesson 1: Declaring and Assigning Variables (setq, let, defvar, defparameter)
- Lesson 2: Reserved Keywords in Lisp
- Lesson 3: Data Types: Symbols, Numbers, Characters, Strings, Lists, Arrays, Hash Tables
- Lesson 4: Immutable Variables and Constants (defconstant)
- Lesson 5: Type Predicates and Type Checking (type-of, typep)
Chapter 3: Operators in Lisp
- Lesson 1: Arithmetic Operators
- Lesson 2: Relational and Comparison Operators
- Lesson 3: Logical Operators (and, or, not)
- Lesson 4: Bitwise Operators
- Lesson 5: Increment and Decrement Operators (incf, decf)
Chapter 4: Control Structures
- Lesson 1: Introduction to Control Flow
- Lesson 2: Conditionals (if, cond, case, when, unless)
- Lesson 3: Loops (loop, do, dotimes, dolist, recursion)
- Lesson 4: Return, Break, and Continue Statements
Chapter 5: Functions and Recursion
- Lesson 1: Introduction to Functions (defun)
- Lesson 2: Function Arguments and Return Values
- Lesson 3: Recursive Functions
- Lesson 4: Anonymous Functions and Lambda Expressions
- Lesson 5: Higher-Order Functions and Functional Programming
Chapter 6: Lists, Arrays and Hash Tables
- Lesson 1: Understanding Lists and S-Expressions
- Lesson 2: Common List Operations (car, cdr, cons, append, mapcar)
- Lesson 3: Arrays and Multi-dimensional Arrays
- Lesson 4: Hash Tables and Key-Value Storage
Chapter 7: Strings and Characters
- Lesson 1: String Representation in Lisp
- Lesson 2: String Manipulation (concatenate, subseq, string-upcase)
- Lesson 3: Regular Expressions in Lisp
Chapter 8: Object-Oriented Programming in Lisp
- Lesson 1: Introduction to CLOS (Common Lisp Object System)
- Lesson 2: Defining Classes with defclass
- Lesson 3: Creating Objects and Instance Variables
- Lesson 4: Methods in CLOS (defmethod)
- Lesson 5: Multiple Dispatch and Method Overloading
Chapter 9: Macros and Meta-programming
- Lesson 1: Introduction to Lisp Macros
- Lesson 2: Writing and Expanding Macros (defmacro)
- Lesson 3: Macro vs Functions
- Lesson 4: Advanced Macro Techniques
Chapter 10: Exception Handling
- Lesson 1: Introduction to Error Handling
- Lesson 2: Handling Exceptions (handler-case, ignore-errors)
- Lesson 3: Custom Error Handling
Chapter 11: File I/O
- Lesson 1: Reading and Writing Files
- Lesson 2: Working with Streams
- Lesson 3: Parsing and Processing Text Files
Chapter 12: Date and Time Handling
- Lesson 1: Date and Time Functions in Lisp
- Lesson 2: Formatting Dates and Time
- Lesson 3: Time Measurement and Performance
Chapter 1: Modern Lisp Features
- Lesson 1: Overview of Features in Recent Lisp Releases
- Lesson 2: Improvements in Garbage Collection and Performance
- Lesson 3: Functional Programming Enhancements
Chapter 2: Multithreading and Concurrency
- Lesson 1: Introduction to Multithreading in Lisp
- Lesson 2: Thread Synchronization
- Lesson 3: Parallel Processing
Chapter 3: Preprocessor Directives in Lisp
- Lesson 1: Introduction to Preprocessor Directives
- Lesson 2: Using #' for Function References
- Lesson 3: Code Compilation and Debugging
Chapter 4: Creating Libraries in Lisp
- Lesson 1: Introduction to Lisp Libraries and Modules
- Lesson 2: Packaging and Distributing Libraries
- Lesson 3: Versioning and Updating Lisp Packages
Chapter 5: Networking and Socket Programming
- Lesson 1: Introduction to Networking in Lisp
- Lesson 2: Working with TCP/IP and UDP
- Lesson 3: WebSockets and HTTP Clients
Chapter 6: Lisp for Web Development
- Lesson 1: Introduction to Web Development in Lisp
- Lesson 2: Web Frameworks in Lisp (Hunchentoot, Caveman)
- Lesson 3: Building REST APIs with Lisp
Chapter 7: Cryptography and Security in Lisp
- Lesson 1: Cryptographic Techniques in Lisp
- Lesson 2: Hashing and Message Digests
- Lesson 3: Secure Data Storage and Transmission
Chapter 8: Creating GUI Applications in Lisp
- Lesson 1: Introduction to GUI Programming
- Lesson 2: Common GUI Libraries (CLIM, LTK)
- Lesson 3: Event Handling in Lisp GUIs
Chapter 9: Signal Handling in Lisp
- Lesson 1: Understanding Signal Handling
- Lesson 2: Handling Unix Signals in Lisp
- Lesson 3: Process Management in Lisp
Chapter 10: Advanced Debugging and Profiling
- Lesson 1: Debugging Techniques in Lisp
- Lesson 2: Performance Profiling and Optimization
Chapter 11: Lisp Design Patterns
- Lesson 1: What are Design Patterns?
- Lesson 2: Creational Patterns | Singleton, Factory Method, Abstract Factory, Builder, Prototype
- Lesson 3: Structural Patterns | Adapter, Bridge, Composite, Decorator, Facade, Flyweight, Proxy
- Lesson 4: Behavioral Patterns | Chain of Responsibility, Command, Interpreter, Iterator, Mediator, Memento, Observer, State, Strategy, Template Method, Visitor
Chapter 12: Artificial Intelligence with Lisp
- Lesson 1: Why Lisp for AI?
- Lesson 2: Introduction to Symbolic AI
- Lesson 3: Introduction to Expert Systems in Lisp
- Lesson 4: Knowledge Representation and Reasoning
- Lesson 5: Building a Rule-Based Expert System
- Lesson 6: Implementing Forward and Backward Chaining
- Lesson 7: Planning and Decision Making in Lisp
- Lesson 8: Case Study: Developing a Lisp-Based Medical Expert System
Chapter 13: Natural Language Processing (NLP) with Lisp
- Lesson 1: Introduction to NLP and Its Challenges
- Lesson 2: Tokenization, Parsing, and Lexical Analysis in Lisp
- Lesson 3: Named Entity Recognition (NER) with Lisp
- Lesson 4: Sentiment Analysis Using Lisp
- Lesson 5: Implementing a Chatbot in Lisp
Chapter 14: Machine Learning Frameworks in Lisp
- Lesson 1: Overview of Lisp-Based ML Frameworks (CLML, MGL, FANN)
- Lesson 2: Data Preprocessing and Feature Engineering in Lisp
- Lesson 3: Implementing Supervised Learning Algorithms
- Lesson 4: Unsupervised Learning Techniques in Lisp
- Lesson 5: Hyperparameter Optimization for Lisp-Based ML Models
Chapter 15: Neural Networks and Deep Learning in Lisp
- Lesson 1: Introduction to Deep Learning in Lisp
- Lesson 2: Implementing a Basic Neural Network in Lisp
- Lesson 3: Training and Backpropagation in Lisp-Based Neural Networks
- Lesson 4: Convolutional Neural Networks (CNNs) in Lisp
- Lesson 5: Recurrent Neural Networks (RNNs) and Sequence Processing
Chapter 16: Genetic Algorithms and Evolutionary Computation
- Lesson 1: Introduction to Evolutionary Computing
- Lesson 2: Implementing Genetic Algorithms in Lisp
- Lesson 3: Mutation, Crossover, and Selection Strategies
- Lesson 4: Solving Optimization Problems with Genetic Algorithms
- Lesson 5: Simulating Natural Evolution in Lisp
Chapter 17: Automated Theorem Proving in Lisp
- Lesson 1: Introduction to Automated Theorem Proving
- Lesson 2: Implementing a Propositional Logic Solver in Lisp
- Lesson 3: First-Order Logic and Theorem Proving Techniques
- Lesson 4: Applying Theorem Proving in AI Applications
- Lesson 5: Case Study: Developing a Lisp-Based Theorem Prover
Chapter 18: Reinforcement Learning in Lisp
- Lesson 1: Introduction to Reinforcement Learning (RL)
- Lesson 2: Markov Decision Processes (MDPs) and Value Iteration
- Lesson 3: Implementing Q-Learning in Lisp
- Lesson 4: Policy Gradients and Actor-Critic Methods
- Lesson 5: Using RL to Train AI Agents in Lisp
Chapter 19: Cognitive Architectures and Lisp
- Lesson 1: Introduction to Cognitive Architectures
- Lesson 2: ACT-R and SOAR in Lisp
- Lesson 3: Implementing Cognitive Models in Lisp
- Lesson 4: Simulating Human-Like Learning and Problem Solving
- Lesson 5: Applications of Cognitive Computing in AI
Chapter 20: Lisp-Based AI in Robotics
- Lesson 1: Introduction to AI in Robotics
- Lesson 2: Motion Planning and Control in Lisp
- Lesson 3: Vision Processing for Robotics in Lisp
- Lesson 4: Building an Autonomous Robot with Lisp
- Lesson 5: Case Study: Lisp in Industrial and Research Robotics
Chapter 21: Probabilistic Programming in Lisp
- Lesson 1: Introduction to Probabilistic Programming
- Lesson 2: Bayesian Inference and Probabilistic Graphical Models
- Lesson 3: Markov Chain Monte Carlo (MCMC) Methods in Lisp
- Lesson 4: Implementing Hidden Markov Models (HMMs) in Lisp
- Lesson 5: Probabilistic AI Applications in Lisp
Chapter 22: Symbolic AI and Knowledge-Based Systems
- Lesson 1: Understanding Symbolic AI
- Lesson 2: Building Knowledge Graphs in Lisp
- Lesson 3: Rule-Based AI Systems
- Lesson 4: Implementing Semantic Networks in Lisp
- Lesson 5: Case Study: Symbolic AI for Healthcare Diagnostics
Chapter 23: Lisp in Quantum Computing and AI
- Lesson 1: Introduction to Quantum Computing in Lisp
- Lesson 2: Quantum Gates and Circuits in Lisp
- Lesson 3: Implementing Quantum AI Algorithms in Lisp
- Lesson 4: Quantum Machine Learning in Lisp
- Lesson 5: Future of Lisp in Quantum Computing