Course schedule#
Session |
Topic |
|---|---|
Lecture 1: 08-24-2026 (Monday) |
The AI-engineering landscape and the course toolchain |
Lecture 2: 08-26-2026 (Wednesday) |
Reproducible environments and version control |
Lecture 3: 08-31-2026 (Monday) |
Databases for engineering data |
Lecture 4: 09-02-2026 (Wednesday) |
Database landscape |
09-07-2026 (Monday) |
Labor Day, no class |
Lecture 5: 09-09-2026 (Wednesday) |
Dataframes and batch pipelines |
Lecture 6: 09-14-2026 (Monday) |
Streaming data and data validation |
Lecture 7: 09-16-2026 (Wednesday) |
Features for time-series models |
Lecture 8: 09-21-2026 (Monday) |
The machine learning (ML) workflow I: Time series |
Lecture 9: 09-23-2026 (Wednesday) |
The machine learning (ML) workflow II: Regression |
Lecture 10: 09-28-2026 (Monday) |
The machine learning (ML) workflow III: Classification, experiment tracking and hyperparameter search/tuning |
Lecture 11: 09-30-2026 (Wednesday) |
ML with PyTorch/JAX |
Lecture 12: 10-05-2026 (Monday) |
ML architectures for engineering data |
Lecture 13: 10-07-2026 (Wednesday) |
Scientific machine learning: PINNs, neural ODEs and neural DAEs |
10-12-2026 (Monday) |
Fall break, no class |
10-14-2026 (Wednesday) |
Fall break, no class |
Lecture 14: 10-19-2026 (Monday) |
Uncertainty quantification (UQ) for machine learning |
Lecture 15: 10-21-2026 (Wednesday) |
Bayesian optimization |
Lecture 16: 10-26-2026 (Monday) |
Generative AI |
Lecture 17: 10-28-2026 (Wednesday) |
Large language models (LLMs): what they are and how they are trained |
Lecture 18: 11-02-2026 (Monday) |
Retrieval-augmented generation (RAG): answering from your documents |
Lecture 19: 11-04-2026 (Wednesday) |
LLM agents: tools, loops and guardrails |
Lecture 20: 11-09-2026 (Monday, AIChE) |
(Optional) reinforcement learning |
Lecture 21: 11-11-2026 (Wednesday, AIChE) |
|
Lecture 22: 11-16-2026 (Monday) |
Deployment: serving, containers, latency, and cost |
Final presentations, day 1: 11-18-2026 (Wednesday) |
Student project presentations |
Final presentations, day 2: 11-23-2026 (Monday) |
Student project presentations and course wrap |
11-25-2026 (Wednesday) |
Thanksgiving, no class |
11-30-2026 (Monday) |
TBD |
12-02-2026 (Wednesday) |
TBD |