•  To provide good ground for the discussion, participants must :
  
• send  (at least 3) questions on each assigned reading to the class piazza discussion forum by 6pm of the day before the class. Tag your question with the corresponding paper id e.g., 21-1   ( lecture number followed by -1 or -2)
• Clarification questions are welcome, but  participants should also try to ask questions that address weaknesses in the presented research, that relate the research to general issues in the field or that make connections/comparisons with topics covered in class.
• hand in a brief summary of each reading in class (no more than one page each). The paper summary should address the following points.
• Beside improving  participation to the discussion, the objective of this activity is to help participants learn how to read papers with a critical eye, as a reviewer for a conference or journal would do. For more info on how to read a research paper, make sure you *carefully* read this detailed instructions.
• In addition to the quality of the summary/questions, punctuality in submitting them will be taken into account for marking.

When the paper is assigned to you
You are required to present the paper in class and to lead the discussion. We'll have 35min for each paper, 20 min. for the presentation  and 15 min. for discussion (the two can mix) In the presentation you have to:

•  Summarize the paper. Make connections/comparisons with topics covered in class (you can reuse modify slides I used in my lectures). Cover any algorithm/technique used in the paper that we did not cover in the lectures (or we did not cover enough to understand the paper). If appropriate, relate the research general issues in the AI. .
  

•  Structure and propose answers to what you think are the most interesting questions posed by the rest of the class.

If you want to use powerpoint and you do not have your own laptop, just send me your presentation at least 45min before class.