Probabilistic Graphical Models 10-708, Fall 2007 Eric Xing School of Computer Science, Carnegie-Mellon University

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Grading

• Final grades will be based on homework (4 assignments, 40%), final project (35%), and take home final exam (25%).

Homework resources and collaboration policy

Homeworks and the exam may contain material that has been covered by papers and webpages. Since this is a graduate class, we expect students to want to learn and not google for answers.

Homeworks will be done individually: each student must hand in their own answers. It is acceptable, however, for students to collaborate in figuring out answers and helping each other solve the problems. We will be assuming that, as participants in a graduate course, you will be taking the responsibility to make sure you personally understand the solution to any work arising from such collaboration. You also must indicate on each homework with whom you collaborated.

The final project may be completed by small teams.

Final take home exam should be done individually, with no discussions with other students.

Late homework policy

• You will be allowed 3 total late days without penalty for the entire semester. For instance, you may be late by 1 day on three different homeworks or late by 3 days on one homework. Once those days are used, you will be penalized according to the policy below:
• Homework is worth full credit at the beginning of class on the due date.
• It is worth half credit for the next 48 hours.
• It is worth zero credit after that.
• You must turn in all of the 5 homeworks, even if for zero credit, in order to pass the course.
• Turn in all late homework assignments to Monica Hopes.

Homework regrades policy

If you feel that we have made an error in grading your homework, please turn in your homework with a written explanation to Monica Hopes, and we will consider your request. Please note that regrading of a homework may cause your grade to go up or down.

Homework assignments

• HW1:
  
• Modules: 1
  
• Out: Sep 19th, Due: Oct 8th
• HW1, data, solutions
  
• HW2:
  
• Modules: 1
  
• Out: Oct 8th, Due: Oct 22nd
• HW2, data, solutions
  
• HW3:
  
• Modules: 2
  
• Out: Oct 22nd, Due: Nov 5th
• HW3, em-train.dat, em-test.dat, solutions
  
• HW4:
  
• Modules: 2
  
• Out: Nov 7th, Due: Nov 26th
• HW4, hw4data.tar.gz em-test.dat, solutions
  

Final project

• Project Guidelines
• Project Suggestions
  
• Project description due on Oct 10th
• Graded milestone due on Oct 31st
  
• Poster session on Nov 31st
  
• Paper due on Dec 3rd

For project milestone, roughly half of the project work should be completed. A short, graded write-up will be required, and we will provide feedback.

Exam Schedule

• Final(take home)
• Out: Dec 4th
  
• Due: Dec 13th by 2pm electronically to 10708-07-instr@cs.cmu.edu, or paper version to Monica Hopes.

Note to people outside CMU

Feel free to use the slides and materials available online here. Please email the instructors with any corrections or improvements.