10-708 – Logistics

2020 Spring


  • Final grade = homework + project + scribe * 10% + eps

  • homework = hw1 * 12.5% + hw2 * 12.5% + hw3 * 12.5% + hw4 * 12.5%

  • project = proposal * 4% + midway * 8% + presentation * 12% + report * 16%

  • eps = Piazza participation, mid-semester class survey, or any activity that the instructors deem worth a bonus point

Scribe notes

Each student is required to scribe for a small number of lectures (most likely just 1). Most lectures will have at least 3 students acting as scribes, and they should work as a team. During your assigned lectures, you are to take detailed notes in collaboration with your fellow scribes. After the lecture, the scribe team is to convert their notes into LaTeX format using the template. These notes should be 6-8 pages long, and must be submitted electronically. We only require one set of notes from the scribe team. The instructors will then audit your notes, and post them to the class page for everyone's benefit. As long as your scribe notes are of sufficient standard, you will be awarded full credit for scribe duties. If your notes have errors or are otherwise not up to standard, we will inform you and give you a chance to correct them. You will receive zero credit if you fail to submit your notes.


  • Daphne Koller and Nir Friedman, Probabilistic Graphical Models: Principles and Techniques

  • Michael I. Jordan, An Introduction to Probabilistic Graphical Models (Chapters will be made available)

  • Kevin Murphy, Machine Learning: A Probabilistic Perspective (Optional)

Note that the material of the class goes beyond the textbooks.


To satisfy the auditing requirement, you must do one of the following:

Submit three homeworks and receive at least 75% of the points on each one. Do a class project which must address a topic related to machine learning and must be something that you have started while taking this class (i.e. it can’t be your previous work). You will need to submit a project proposal with everyone else, and present the project with everyone. However, you don’t need to submit a milestone or final paper. You must get at least 80% on the final presentation part of the project. If you plan to audit the class, please notify instructors that you are auditing and specify which requirement you plan to fulfill.

Listeners outside CMU

Please feel free to reuse any of these course materials that you find of use in your own courses. We ask that you retain any copyright notices, and include a written notice indicating the source of any materials you use.