Machine Intelligence
Graduate course, Johns Hopkins University, 2025
Co-Instructor during Spring 2025.
Details
Credits - 3
Meetings - Mondays, Wednesdays, 12:00-1:15PM, Gilman 132
Syllabus
| Date | Topic |
|---|---|
| 01/22 | History of AI |
| 01/27 | Intelligent agents |
| 01/29 | Uninformed search |
| 02/03 | Informed search |
| 02/05 | Search in complex environments |
| 02/10 | Adversarial search and games |
| 02/12 | Constraint satisfaction problems |
| 02/17 | Quantifying uncertainty |
| 02/19 | Bayesian networks - 1 |
| 02/24 | Bayesian networks - 2 |
| 02/26 | Markov decision processes |
| 03/03 | Deep neural networks |
| 03/05 | Deep learning for object detection and classification |
| 03/10 | GANs |
| 03/24 | Transformers |
| 03/26 | Generative AI-diffusion models |
| 03/31 | Self-supervised, weakly supervised learning |
| 04/02 | LLMs |
| 04/07 | Large image/video foundational models |
| 04/09 | AI bias, fairness |
| 04/14 | Attacking and defending AI systems |
| 04/16 | Explainable models |
| 04/21 | Domain adaptation |
| 04/23 | AI for medicine |
| 04/28 | AI Trends |