Grading.
Statistics 221: Time Series Analysis, Prof. Rick Paik Schoenberg.
Midterm exam (40%) -- Thur, Nov 16, in class.
Written project (50%) -- due Thur, Dec 7, in class.
Oral Presentation/participation (10%) -- last week of class.
Attendance in class is generally not mandatory and not counted as
part of the grade. However, the last week of class is an exception:
all students MUST attend class, on time, for the final week.
There will most likely
be no extensions for the project or presentation and no make-up
for the exam.
Students who are unable to make these dates or otherwise
fulfill the course requirements
must consult with the instructor in advance, if possible.
Students with learning disabilities must consult with the instructor
by the 2nd week of class
if special arrangements are required.
Written Project:
Find a time-series dataset and analyze it using some of the relevant methods
described in class. Your report should contain 4-6 pages
of text, followed by as many figures as appropriate. You may include as
many figures as you like, but the text itself should not exceed 6 pages,
double-spaced.
In selecting your dataset
choose something that interests you, and try to have a main, answerable question
in mind.
Begin your paper with an introduction, a description of your data and how
they were obtained, and a summary of the main question(s) to be addressed
in your paper. Then summarize your analyses, paying special attention
to any assumptions you are making and the plausibility of those assumptions.
Conclude by assessing how effective the methods you used were in helping
to answer your main question(s).
Oral presentations of project results will take place on the last week of
class. These will involve simply presenting a clear and
concise 5-minute summary of your dataset and 1 or 2 of your main results.
Do not try to show all the results from your paper in your 5-minute oral
presentation!!! You should only show around 4 figures in your
presentation.