Undergraduates:
There will be 10 home works, worth 50% of the total grade. The first seven will
be due on the Monday following the distribution of the assignment. The last 3
are biweekly, due on April 9, April 23, and May 7. More about
this in class. The midterm will be on March 14 (worth 15%). The final
exam, given on May 12, will be worth 25% of the grade. Attendance and class
participation are worth 10%.
Graduate Students: There will be 10 home
works, worth 40% of the total grade. The first seven will be due on the Monday
following the distribution of the assignment. The last 3 are biweekly, due on
April 9, April 23, and May 7. More about this in class.
The midterm will be on March 14 (worth 15%). The final exam, given on May 12,
will be worth 25% of the grade. Attendance and class participation are worth
10%. You will also write a short research paper based upon your analysis of the
data we are using (10% of the grade).
This
is a hard class. The material is cumulative, so if you miss a week or two, you
will likely be very confused. The many assignments are designed to help
you develop the routine to do well. Regular attendance in class also keeps
you on track. I also take attendance to monitor how everyone is
doing. So, my message is: Do not fall behind. Each week, you should
expect to spend 6 hours outside of class time working on the computer, reading,
and writing. Take time now to set aside those hours each week so you can do the
work for the course.
If you are a student with a disability, please feel free to contact me early in the semester for any help or accommodations which you may need.
See www.uwm.edu/Dept/SecU/SyllabusLinks.pdf for UWM Academic policies.
The url
for this syllabus is: http://margoanderson.org/595/595syl2018.htm.
The Annenberg Project has a video series, "Against All Odds: Inside
Statistics." The tapes are available in the Multimedia Library and on the
web, http://www.learner.org/resources/series65.html.
These will be required viewing for some topics and supplement the materials in
class. We will also link data sets, examples, lecture notes, and
supplemental websites to syllabus, so the syllabus will grow in links as the
semester progresses.
Discussion
Topics, Assignments, and Due Dates
