This page will be filled with more details as the topic talks and
project talks are scheduled. Click on the title for more details, including
reading assignments, descriptions of homework assignments, etc.
| Date | Topic | Assignment |
| Aug 27 | Intro to Neural Nets | |
| Aug 28 | Backpropagation | |
| Sep 03 | Deep Learning | Homework 1 (COVID-19 Prediction) assigned. |
| Sep 04 | Generative AI | Personal ads due. |
| Sep 10 | Reinforcement Learning | |
| Sep 11 | Evolutionary Computation | |
| Sep 17 | Neuroevolution (in zoom) | Homework 1 (DL/Backpropagation) due. |
| Sep 18 | Decision Making | Homework 2 (COVID-19 Prescription) assigned. |
| Sep 24 | Self-Organizing Maps | |
| Sep 25 | Computational Neuroscience | |
| Oct 01 | Brain Organization | Homework 2 (RL/Neuroevolution) due (extended to 10/2). |
| Oct 02 | Cognitive Modeling | Topic talk proposals due. |
| Oct 08 | 1-1 office hrs (in zoom) | |
| Oct 09 | Exam | Practice questions; Exam Feedback |
| Oct 15 | Kolmogorov-Arnold networks (Sebastian, Vincent) | |
| Oct 16 | Graph neural networks (Kate, Sicong) | |
| Oct 22 | Fine-tuning of diffusion models (Agniv, Yan) | |
| Oct 23 | Problem solving with multi-LLM orchestration (Hormoz) | |
| Oct 29 | Adversarial robustness in RL (Aniruddha, Samyak) | |
| Oct 30 | Reinforcement learning with human feedback (John, Lian) | |
| Nov 05 | Evolutionary neural architecture search (Benson, Brian) | |
| Nov 06 | Evolutionary optimization with/of LLMs (Salvador, Sam) | Project proposals due |
| Nov 12 | Brain-computer interfaces (Cole, Nilay) | |
| Nov 13 | Spiking neural networks (Divya, Tien) | |
| Nov 19 | Stock-market prediction (Dev, Shashank) | |
| Nov 20 | Incomplete information games (Carson, Eshan) | |
| Dec 03 | Project Talks (1:30-3:22?) | |
| Dec 04 | Project Talks (1:30-3:23?) | |
| Dec 13 | | Project papers due. |
| 8am CST | | |