diff --git a/README.md b/README.md
index 4ff2524..664b79e 100755
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+++ b/README.md
@@ -19,7 +19,7 @@ Materials for DATS0001 Foundations of Data Science, ULiège, Fall 2024.
| October 21 | Lecture 5: Markov Chain Monte Carlo
`nb05`: Markov Chain Monte Carlo [[notebook](./nb05-mcmc.ipynb)] [[sidenotes](./pdf/lec05-mcmc.pdf)]
Reading: Gelman et al, [Bayesian Data Analysis, 3rd](http://www.stat.columbia.edu/~gelman/book/BDA3.pdf), 2021 [Chapter 11] |
| October 28 | _No class_ |
| November 4 | Lecture 6: Expectation-Minimization
`nb06`: Expectation-Maximization [[notebook](./nb06-em.ipynb)] [[sidenotes](./pdf/lec06-em.pdf)]
Reading: Dempster et al, [Maximum Likelihood from Incomplete Data via EM](https://www.jstor.org/stable/2984875), 1977 |
-| November 4 | Deadline of Homework 1 |
+| November 8 | Deadline of Homework 1 |
| November 11 | _No class_ |
| November 18 | Lecture 7: Variational inference
`nb07`: ADVI [[notebook](./nb07-advi.ipynb)] [[sidenotes](./pdf/lec07-advi.pdf)]
Reading: Kucukelbir et al, [Automatic Differentiation Variational Inference](https://arxiv.org/abs/1603.00788), 2016 |
| November 25 | Lecture 8: Model criticism
`nb08a`: Model checking [[notebook](./nb08a-model-checking.ipynb)]
`nb08b`: Model comparison [[notebook](./nb08b-model-comparison.ipynb)]
Reading: Gelman et al, [Bayesian Data Analysis, 3rd](http://www.stat.columbia.edu/~gelman/book/BDA3.pdf), 2021 [Chapters 6 and 7] |
@@ -30,7 +30,7 @@ Materials for DATS0001 Foundations of Data Science, ULiège, Fall 2024.
## Homeworks
-- Homework 1: Exploration of pulse oximetry data, November 4.
+- Homework 1: Exploration of pulse oximetry data, November 8.
- Homework 2: TBD
- Homework 3: TBD
- Exam-at-home: TBD