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, Lain) | |
| 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 & Class Evaluation 1:30-3:15pm in GDC 6.302) | |
| 1:30 MLP vs. KAN performance (Sebastian, Vincent) | ||
| 1:43 Fine-tuning of diffusion models (Agniv, Yan) | ||
| 1:56 Robust deep reinforcement learning (Aniruddha, Samyak) | ||
| 2:09 Integrating evolution into PPO (Lain) | ||
| 2:22 Combining NEAT and PSO (Benson, Brian) | ||
| 2:35 Multiagent coordination of LLMs (Hormoz) | ||
| 2:48 Incorporating LLMs into evolution (Salvador, Sam) | ||
| 3:01 Class evaluation | ||
| Dec 04 | Project Talks (regular classroom & time) | |
| 2:00 Spike encoding/decoding (Divya, Tien) | ||
| 2:13 Generating synthetic EEG data (Cole, Nilay) | ||
| 2:26 Detecting misinformation with GNNs (Kate, Sicong) | ||
| 2:39 RNN, LSTM, and transformers in stock-market prediction (Dev, Shashank) | ||
| 2:52 Evolving music (John) | ||
| 3:05 Neuro-evolving poker agents (Carson, Eshan) | ||
| Dec 15 | 9pm CST | Project papers due. |