Table of Contents
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CMU 07-380 AI & ML II Fall 2026 follows 07-280 Fall 2026 as the second course in the new sequence, first offered (New in Fall 2026). It is not a reshuffle of 15-281/10-315 but an extension that lifts the search/ML/RL/probability spine of 07-280 into deeper reasoning, optimization, graphical models and generative systems.
Why 07-380 exists
07-280 Fall 2026 already covers 24 lectures + HW0-11 + weekly Checkpoints from heuristic search to AlphaZero. The FAQ states 07-280/07-380 will be offered every semester, 07-380 first being offered in Fall 2026, jointly replacing 15-281 + 10-315. Prerequisites are 07-280 + probability (36-225 etc.) with C or above; 10-301 holders need 10-301 + 16-350 reviewed via bsai@cs.cmu.edu (see Prerequisites).
Grading differs from 07-280: 55% quizzes (6, drop lowest) + 25% HW + 10% project + 5% checkpoints + 5% participation, no final exam, capped by the Final Project (Dec 7-15).
26-lecture arc
Per the Fall 2026 Schedule (subject to change):
| Block | Lectures | Topics |
|---|---|---|
| Reasoning | Lec02-04 | Logical Agents / SAT-DPLL / Planning PDDL / Motion RRT |
| Optimization | Lec05-07 | LP / ILP / PCA + LoRA |
| Reasoning under uncertainty | Lec08-13 | MAP / Naive Bayes / Bayes Nets / GMM-EM / Sampling-Gibbs / HMM-Particle Filter |
| Acting & generative | Lec14-18 | RL Policy Gradient→RLHF / DL Optimization / VAE / Diffusion / Multimodal VLM/VLA/JEPA |
| Systems & theory | Lec19-24 | Parallel (data/model/pipeline/MoE) / Scaling Laws / Recommender / Ensemble / PAC-VC / Game Theory |
| Practice | Lec25-26 | ML in Practice / AI Ethics + Quiz 6 |
How public is it
| Item | Anonymous | Gap |
|---|---|---|
| Syllabus / Schedule / Policies | fully public | — |
| Lecture materials | Lec01 pptx/pdf (inked), Prop Logic.pdf, some Checkpoints | most Lec05-26 decks pending |
| Recitation | Fri 11:00 WEH 5403 single section, 6 quiz dates posted | handouts not yet bulk-released |
| HW / Project | HW1-7 and Project dates posted (Sep 3 → Dec 4) | starter links mostly TBD |
| Platforms | described | Canvas/Gradescope/Piazza campus-only |
In this site's A0–A3 scale: A2→A3 transition — the map and reading list are complete for a guide; the full self-study chain awaits HW release.
Bridge from 07-280
07-280 I (24: search/CSP → ML/NN→CNN/Transformer → RL/MCTS)
↓
07-380 II (26: logic/planning → optimization → graphical/HMM → RLHF/generative → systems/theory/ethics)
07-280 builds AlexNet/GPT-2/AlphaZero; 07-380 formalizes reasoning and optimization, exact/approximate inference on graphical models, and scalable generative systems. Off-campus, finish 07-280 as the spine, then backfill formal depth via LP/PCA/MAP/EM/Bayes Nets/HMM/VAE/Diffusion.
Tonight's starter
- Diff
07-380 Lec01(pdf) against07-280 Lec01to markI→IIoverlap and new units (Planning/PDDL, LoRA, PAC-VC). - If logic or optimization is weak, read
Prop Logic.pdfandBoyd Ch.2/4before jumping toDiffusion. - Wait for
HW1 (Sep 3)release; use weeklyPre-reading Checkpointsfor rhythm.
References
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