====== Week 9 ======
Program: **Exercise PM02**
  * Q/A
  * Hidden Markov Models I.: belief updates, filtering by forward algorithm
  * {{:courses:ui:exercises:PM02_description.pdf|Assignment description}}, {{:courses:ui:exercises:PM02_data.zip|codes}}

** Homework:**
In case you will not finish the exercise during the lab, your homework is to
  * finish the exercise at home, 
  * identify the potential issues, and 
  * **ask questions** on the forum.
  * **Hand in** the Python module ''hmm_inference.py'' via BRUTE, together with the solution to the next exercise, PM03. This task has an automatic evaluation, you should see if your functions in ''hmm_inference.py'' work fine almost immediately.
  * If you need to submit more than one Python file, you can submit an archive with all the modules. The files must be placed in the root of the archive - the archive should not contain any directories.