|
Homework. Homework is assigned daily, and available
on the Course Web Site.
Doing the homework is key to
learning the material. The best thing is to do everything that
is assigned, and more. Students who do not keep up
will soon fall behind dangerously. Generally homework
is on a not hand in status. Exception is one
Problem Set which will be handed in and
graded
Exams. There will be five (5) short exams plus the
final exam. The lowest grade will be dropped.
Following the exams there will be
a lecture period that same day. NOTE: Attendance
will be taken for that day’s lecture period
Labs. Labs will be done primarily
by group learning. You are responsible for content
of all class labs. Hand-in lab work is
graded for general concerns only
Project. The project (16 points total)
involves evaluating a data source.
PROJECT DUE DATE THURS. end of term
|
|
Grading. The grades will be based on a
“raw score” of between 0 and 100.
These will be ‘curved’ (so to speak) by giving students with
similar raw scores the same grade.
NOTE: This does
not necessarily mean that “90=A.”
Instead, it all depends on the raw score distribution. Midway
through the term, or later, I will be able to give you an
estimate of how you are doing
Subjective Grade. Based on
constructive class participation. 3 is
the default grade.
Personal attacks on the instructor
or other students will warrant an automatic 0.
Persistent disruptive activity will warrant a 1 or less.
In group learning situations, your helpfulness to the group
will be noted
Extra Credit. An extra credit assignment (due at
the Final Exam) will be posted on the website. This is to
help you if you are “caught between two grades”
The Course. (FROM CATALOG)
Introduction to data analysis making use of graphical and
numerical techniques to study patterns and departures from patterns.
The student studies randomness with an emphasis on understanding
variation, collects information in the face of uncertainty, checks
distributional assumptions, tests hypotheses, uses probability as
a tool for anticipating what the distribution of data may look
like under a set of assumptions, and uses appropriate statistical
models to draw conclusions from data. The course introduces the
student to applications in various fields.
Calculator. You need a TI-83 (or
TI-84) graphing
utility
Cellphones. Cellphone or iPod use is not permitted in class.
Stepping outside to answer the cellphone is forbidden.
Please keep your cellphone turned off. Use of cellphone during an exam
constitutes grounds for reduction of credit
Attendance. Missing class two (2) times after
without
adequate explanation will be
considered grounds for reduction of grade/failure.
Three (3) such times implies drop/failure. Why not
explain? If you need to miss class, send me an
e-mail message. Homework quiz(zes) (1
pt.) may
be given when class begins, to encourage
attendance
|
Instructor Email:
function@batstar.net
Course Web Site: