Posterior Mean After Three Sequential Forecast Errors

A latent mean $\theta$ has prior $N(5,9)$. Observations arrive one by one with known noise variance $\sigma^2=4$ and realized values [6, 5, 3]. After processing the full stream sequentially, what are the final posterior mean and variance?