36-835 PhD Seminar, Spring 2004
Research Seminar in Statistics
Tue/Thu 1:30 - 2:50, Room TBA
[We will regularly meet one day a week with makeup/overflow days as
needed on the "other" scheduled class day. My guess is we will meet
approximately 20 times during the semester.]
Course Web Pages:
(1) http://www.stat.cmu.edu/~brian/seminar [announcements and general information]
(2) http://www.cmu.edu/blackboard/ [pre-class questions and other discussions]
Here is a tentative list of speakers / schedule.
Brian W. Junker
Department of Statistics
132E Baker Hall
(412) 268-2718 or 8874
[feel free to contact me with inquiries, suggestions, etc.]
For most class periods we will schedule an outside speaker, usually a
member of the Statistics Department, to give a research presentation
from a recent conference or visit to another department.
As preparation for this, we will ask the speaker to provide a related
paper to read, and you will post, to the course Discussion Board on
Blackboard, two questions about the paper or a relevant topic, by
5:00pm the day before class. You are expected to bring to class all
questions posted for that day's discussion. These questions are the
kind of questions you would ask when a visitor presents a public
seminar to the department, or when reviewing a paper for a journal.
You should try to ask the best questions possible.
During other class periods I will organize discussions about successful
academic life in Statistics, incuding: time management; writing, publishing
and reviewing papers; choosing research topics and collaborations; grant
and proposal writing; teaching in the real world; etc. I will also ask you
to post to Blackboard two questions about each of these topics, by 5:00pm
the day before each discussion.
During the first couple of class meetings we will organize the rest of
the semester together.
Your main activities in this seminar will be to read papers, post
questions on time before each class presentation/discussion, and
participate in each class session.
Occasionally I may ask you to do some other activity, like summarize a
paper, digest and discuss a handout, try a small data analysis, verify
or critique a calculation or line of reasoning, report on something
you've been doing, etc.
All class participants (registered or not) are expected to participate
in all activities.
Grading is pass/fail, and will be based on (1) the quality of the
questions you post before each discussion; (2) the quality of in-class
discussion (during research *and* non-research discussions); and (3)
participation in other activities that I ask you to do.
* Learn to read papers, think critically about them, and ask and
discuss intelligent questions about them.
* Learn some aspects of being a successful academic researcher.
The course is open to any graduate student in Statistics who is taking
or has taken PhD level statistics courses. Others may enroll with my