Syllabus
Term: Summer 2026 · Weeks: 8 · Meetings: 3 per week
Text: Russell & Norvig, Artificial Intelligence: A Modern Approach (4th ed.)
Pace — 24 class meetings in 8 weeks (3 per week): the certificate schedule keeps the full AIMA slide sequence for those meetings; Assignments lists exercises by week and session (1–24). Omitted book chapters and optional reading are named in the repo syllabus.
| Week | Theme | AIMA decks that week (slide lecture-NN) |
|---|---|---|
| 1 | Foundations | 1, 2, 3 |
| 2 | Search and games | 4, 5, 6 |
| 3 | Logic and knowledge | 7, 8, 9 |
| 4 | Knowledge, planning, and uncertainty | 10, 12, 11 |
| 5 | Probabilistic reasoning | 13, 14, 15 |
| 6 | Decision making | 16, 17, 18 |
| 7 | Machine learning | 19, 20, 21 |
| 8 | Applications and conclusions | 22, 23, 27 |
Week 4 presents ch. 12 before ch. 11; week 8 ends on ethics & safety (ch. 27) instead of the omitted later chapters. Keep this table in step with course/ains5001-8week-schedule.json.
Details and instructor notes: repository root AINS5001_Summer26.md and the machine-readable course/ains5001-8week-schedule.json.
Lecture slides (Reveal)¶
Weekly Reveal decks live in the aima repository under lectures/reveal/ and are published to GitHub Pages when that workflow runs:
Open any session, e.g. Lecture 1. They are not duplicated as separate Moodle activities: the cartridge ships the MyST book pages (Course home, Syllabus, Assignments, …) below; slides stay on Pages unless you add them manually in Moodle.