INSTRUCTOR: Ani
Adhikari. Please note that I can't
answer
questions
like,
"How do I solve Problem X?'' by email or on the phone. Please use
email
and the phone only for emergencies and administrative matters.
Please include your
full
name and SID in all email messages to me.
OFFICE HOURS: Mondays 1-2 in
413 Evans
GSI: Zsolt Bartha. Office hours
Wednesdays 10-12 in 444 Evans
WEEKLY SCHEDULE: Lecture meets TuTh 11-12:30 in 332 Evans. Lab meets Fri 12-2 in 342 Evans.
WEB PAGE: http://www.stat.berkeley.edu/~ani/s200af18/index.html
.
PIAZZA: Join STAT 200A
Piazza for help with any aspect of the course.
PREREQUISITES: Algebra, multivariable calculus, and linear algebra. I will assume not just acquaintance but fluency with all of these.
TEXT: There is no required
text. Lecture sketches will be
provided, usually within a day or so after lecture. For reference, I suggest All of Statistics by
Larry Wasserman, published by Springer. We
will cover Part I and the "Redux" section near the end of the text.
Grimmett and Stirzaker also have an excellent text, but we won't cover
much of their Random Processes sections. An
excellent reference at the undergraduate level is Probability
by Jim Pitman,
published by Springer.
HOMEWORK: Assignments will
be part of exercise sets that will be available each week in lab. They
will be due the following Thursday at
the start of lecture.
No late
homeworks will be accepted.
EXAMS: There will be one
midterm and one final. If you
cannot take the final at the date
and
time given below, you cannot take this class. There will be no
late,
early,
or
repeat
exams.
Midterm :
Friday October 12, during the lab period.
Final :
Wednesday December 12, 8 a.m. - 11 a.m. (Exam Group 9)
GRADES: Overall
scores will be
computed as follows:
Maximum of: (25% homework, 25% midterm, 50% final) and (25% homework, 75% final)
No individual letter grades will be given for homework, midterm, or final. Your letter grade for the course will be based on your overall score.