Lecture slides - A Modern Approach to AI

Each link opens a slide-style page in this site (static HTML from MyST, served on GitHub Pages). On-screen, each original Marp/horizontal-rule segment is a full-height “slide” (scroll / snap) with narration in the top bar when MP3s exist.

Narration (TTS): When MP3s exist under lectures/reveal/audio/lecture-NN/ (from npm run lectures:reveal and node scripts/generate-tts.js), sync copies them into this book. After build, controls appear in the header and inline sources are used for the current slide — same slide-001.mp3 … naming as the Reveal pipeline.

#	Session
0	Lecture 0: GitHub Classroom Assignments
1	Lecture 1: Introduction
2	Lecture 2: Intelligent Agents
3	Lecture 3: Solving Problems by Searching
4	Lecture 4: Search in Complex Environments
5	Lecture 5: Adversarial Search and Games
6	Lecture 6: Constraint Satisfaction Problems
7	Lecture 7: Logical Agents
8	Lecture 8: First-Order Logic
9	Lecture 9: Inference in First-Order Logic
10	Lecture 10: Knowledge Representation
11	Lecture 11: Automated Planning
12	Lecture 12: Quantifying Uncertainty
13	Lecture 13: Probabilistic Reasoning
14	Lecture 14: Probabilistic Reasoning over Time
15	Lecture 15: Probabilistic Programming
16	Lecture 16: Making Simple Decisions
17	Lecture 17: Making Complex Decisions
18	Lecture 18: Multiagent Decision Making
19	Lecture 19: Learning from Examples
20	Lecture 20: Learning Probabilistic Models
21	Lecture 21: Deep Learning
22	Lecture 22: Reinforcement Learning
23	Lecture 23: Natural Language Processing
24	Lecture 24: Deep Learning for Natural Language Processing
25	Lecture 25: Computer Vision
26	Lecture 26: Robotics
27	Lecture 27: Philosophy, Ethics, and Safety of AI
28	Lecture 28: The Future of AI