diff --git a/README.md b/README.md
index ac161e8..d84f2f4 100644
--- a/README.md
+++ b/README.md
@@ -30,7 +30,7 @@ This student-led course explores modern techniques for controlling — and learn
 | #  | Date (MM/DD) | Format / Presenter | Topic & Learning Goals | Prep / Key Resources |
 |----|--------------|--------------------|------------------------|----------------------|
 | 1  | 08/22/2025   | Lecture — Andrew Rosemberg | Course map; why PDE-constrained **optimization**; tooling overview; stability & state-space dynamics; Lyapunov; discretization issues | [📚](https://learningtooptimize.github.io/LearningToControlClass/dev/class01/class01/) |
-| 2  | 08/29/2025   | Lecture - TBD | Numerical **optimization** for control (grad/SQP/QP); ALM vs. interior-point vs. penalty methods | |
+| 2  | 08/29/2025   | Lecture - Arnaud Deza | Numerical **optimization** for control (grad/SQP/QP); ALM vs. interior-point vs. penalty methods | |
 | 3  | 09/05/2025   | Lecture - Zaowei Dai | Pontryagin’s Maximum Principle; shooting & multiple shooting; LQR, Riccati, QP viewpoint (finite / infinite horizon) | |
 | 4  | 09/12/2025   | **External seminar 1** - Joaquim Dias Garcia| Dynamic Programming & Model-Predictive Control | |
 | 5  | 09/19/2025   | Lecture - Guancheng "Ivan" Qiu | **Nonlinear** trajectory **optimization**; collocation; implicit integration | |