Online Update of a Latent Drift

A latent mean $\theta$ has prior $N(-1,16)$. Observations arrive one by one with known noise variance $\sigma^2=1$ and realized values [0, 2]. After processing the full stream sequentially, what are the final posterior mean and variance?