STANFORD CS 228
Structured Probabilistic Models: Principles and Techniques
Winter 2010
Programming Assignment Submission Instructions

  • Make sure that all of your necessary files (listed below for each assignment) are in a single directory on the AFS filesystem (for example, in your home directory once you log in to myth.stanford.edu). Start by going to that directory.
  • To submit Programming Assignment #1, type '/afs/ir/class/cs228/bin/submit 1'. For subsequent assignments, change "1" to the assignment number. The script that you've called should submit the relevant files (that we've designated) into the course's local directory. You may read /afs/ir/class/cs228/bin/submithelp to see a small help file.
  • If the submission is successful, you will see "Submission completed." If you are missing one of the necessary files in your directory, it will tell you which you are missing.
  • For each assignment, you will need at least the files README and Students.m. README should be an ASCII text file with the answers to the questions in the assignment. Students.m should contain the information of all students in the group that is making the submission. To make sure that your Students.m is the correct format, you should copy a sample from /afs/ir/class/cs228/ProgrammingAssignments/General/Students.m. (Once the assignment is graded, the scores will be posted on Coursework. If you see that your score is not posted while the rest of your group's scores are, please let us know.)
  • You may submit as many times as you wish; your previous submission will be deleted each time you resubmit, so be careful. The time on your final submission will be the time counted for the purpose of late days. You may want to submit a first version early so that you are familiar with the submission process and don't run into any problems near the deadline.
  • The assignments are due at 11:59 pm on the due date. Late days apply to programming assignments, and will be applied to everyone in the team.

    • Necessary Files

  • Programming Assignment 1
  • ApproxInference.m
  • CliqueTreeCalibrate.m
  • ClusterGraphCalibrate.m
  • ExactInference.m
  • FactorMarginalization.m
  • FactorProduct.m
  • FindReady.m
  • ObserveEvidence.m
  • Students.m
  • README
    • Comments to CS228 Staff