◆ Materials
Week by week.
Lecture slides for each week are posted on Blackboard after the session. Labs are done here on the platform, and the front page shows which week we are in.
| Wk | Topic | What you will do | Slides | Lab |
|---|---|---|---|---|
| 1 | What is AI | AI, ML, deep learning, LLMs — what sits inside what, and what a prompt is. | Slides | No lab |
| 2 | Anatomy, context & personas | The five parts — task, context, format, guardrails, persona; grounding the model in your material; what a role does and does not change. | Slides | LAB 1 · 2 |
| 3 | Chain-of-thought | How people reason — deduction, induction, abduction, analogy — and making the model show its working. | Slides | LAB 3 |
| 4 | When it goes wrong | Hallucination and non-determinism: invented facts, fake citations, and answers that move between runs. | Slides | LAB 4 |
| 5 | Making it reliable | Self-consistency, structure, citation, self-checking — buying reliability on purpose. | Slides | LAB 5 |
| 6 | System prompts · wrap-up | Chatbots, memory, the technique wall — the last technique week of Part One. | Slides | LAB 6 |
| 7 | Midterm proposal | Your 3-minute proposal pitch — the problem you will work on in Part Two. Fall Break follows. | Slides | No lab |