Black Friday

At the end of each term, COS, like all PhD programs in SCS, conducts a Black Friday. Black Friday is a semi-annual review of the progress of each PhD student in the program. Where the student stands in completing each milestone, their general ability to do research, their overall focus, and their needs with respect to their career goals are assessed. At each Black Friday the standing of the students will be assessed. There are three levels:

  • Good
  • Marginal - Needs Work
  • Poor - Poor - Needs Significant Improvement Students who are in poor standing for two consecutive semesters may be asked to leave the program.
In preparation for Black Friday each student is asked each term to provide the new information, since the prior term, relative to these milestones. In addition, each student is also asked to provide a 1 paragraph description of career goals.

A blank form for Black Friday can be downloaded here. Note, the discussion of career goals is in addition to this form.

After each Black Friday, each student receives a letter evaluating their standing and suggesting next steps. If a student receives a marginal standing then, typically, by following the steps, they can move to a good standing. If a student receives a poor standing then they should carefully review the suggestions and follow them to achieve at least a marginal standing. For students in poor standing, failure to follow the suggested next steps may result in being asked to leave the program.

The first time a student received a Poor evaluation the student has, at most, two semesters to raise his or her standing to Good. After two Poor evaluations in a row a student may be asked to take a leave of absence or withdraw from the program.

Student Handbook

COS Student Handbook 2009-2010 [pdf] *Current*
COS Student Handbook 2008-2009 [pdf]
COS Student Handbook 2006-2007 [pdf]

Program Committee

  • Kathleen M. Carley - Director
    Computational social and organization theory, dynamic social networks, multi-agent network models, information diffusion

  • Norman Sadeh - Co-Director
    Pervasive computing, agent technologies, internet-enabled supply chains, mobile commerce, web security and privacy

  • Latanya Sweeney - Co-Director
    Data privacy, privacy technology, bioterrorism surveillance, video surveillance, biomedical informatics, intelligent tutoring systems, computer learning

Contact the COS Program Manager - Connie Herold(cherold [at] cs [dot] cmu [dot] edu)

 

Ph.D. Program in Computation, Organizations and Society
School of Computer Science
Carnegie Mellon University
5000 Forbes Avenue
Pittsburgh, PA 15213
(412)268-3163