Probabilistic Graphical Models
School of Computer
Science, Carnegie-Mellon University
grades will be based on homework (5 assignments, 50%), final project
(30%), and take home final exam (20%).
resources and collaboration policy
- Homeworks are due at the
begining of class
As we often reuse problem set questions from previous years, covered by
papers and webpages, we expect the students not to copy, refer to, or
look at the solutions in preparing their answers. Since this is a graduate
class, we expect students to want to learn and not google for answers.
The purpose of problem sets in this class is to help you think about the
material, not just give us the right answers. Therefore, please restrict
attention to the books mentioned on the webpage when solving problems on the problem
set. If you do happen to use other material, it must be acknowledged clearly
with a citation on the submitted solution.
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.
final project may be completed by teams of up to two students.
- The final take home exam should be done individually, with no
discussions with other students.
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:
is worth full credit at the beginning of class on the due date.
is worth half credit for the next 48 hours.
is worth zero credit after that.
must turn in all of the 5 homeworks, even if for zero credit, in order to
pass the course.
in all late homework assignments to Monica
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.
- Details out on Oct 4th
description due on Oct 11th
milestone due on Nov 8st
session on Dec 1st 3-6pm
will be a best project award based on popular vote during the poster
- Paper due
on Dec 8th
For project milestone, roughly half of the project work
should be completed. A short, graded write-up will be required, and we will
Take home pdf
Dec 15th by 2pm electronically to email@example.com, 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.