Ten lectures, split into short topic decks so each one can be read in a sitting. The
syllabus says which decks belong to which module, and the
labs page has the matching notebooks.
Lecture 1 — Introduction: AI and Economic Research Available
Lecture 8 — Retrieval-Augmented Generation (RAG) Available
Five topic decks — one map, five acts: the wall, index, retrieve, generate, apply.
T1–T3 build the pipeline; T4 turns retrieved evidence into a cited answer; T5 puts it to
work on real research corpora.
T1 — The Wall: Why Naive Prompting FailsDownload PDF
T3 — Retrieve: Vector Search & GraphRAGDownload PDF
T4 — Generate: Grounded Answers, and RAG vs. Fine-TuningDownload PDF
T5 — Apply: Research Corpora, Demo & EvaluationDownload PDF
Lecture 9 — Agentic AI for Research Workflows Available
Five topic decks — one map, five acts: Framing, Machine, Method, Management, Mindset.
T1 — Framing: What Agentic AI Is & Why It MattersDownload PDF
T2 — Under the Hood: How It Works & How to StartDownload PDF
T3 — The Homotopy Workflow & Tool ChoiceDownload PDF
T4 — Project Organization: The Researcher as Project ManagerDownload PDF
T5 — Tracing, Mistakes & Managing ContextDownload PDF
Lectures 6 & 10 In preparation
These two decks are still being written. Each link below opens a placeholder; this page
updates as the real decks are posted. The syllabus lists what
they will cover.
Lecture 6 — Heterogeneous Agent Models via RLPlaceholder