Course
Content:
-
combinatorial
probability
-
random variables
-
discrete and continuous distributions
-
joint distributions
-
expected value
-
Law of Large Numbers and Central Limit
Theorem
(This is more or less the first 8 chapters in
the book.)
If time permits, we will study the
basics of Poisson processes and Markov
chains. (This is the beginning of Chapter 9.)
Course
Grading:
10 percent:
Attandence
25 percent: Homework
25 percent:
Midterm
40 percent: Final
Exam
Exam
Dates:
Midterm: Mon.
October 17, in class
Final: Tue. Dec
13, 1:30 p.m. – 4:00 p.m.
HOMEWORK/READING ASSIGNMENTS:
The numbers refer to the textbook (8th edition).
8/27 (Due 9/2):
Chapter 1, Problems 7, 9, 13, 15, 18, 20, 27, 30
Read Chapter 1 and 2.1.-2.3
9/3
(Due 9/9):
Chapter 2, Problems 1,2,3,8,11,15,16
Read Chapter 2 and 3.1.-3.2c
9/9
(Due 9/16):
Chapter 3, Problems 1, 4, 6, 7, 8, 9, 10, 11
Read Chapter 3.3
9/16 (Due 9/23):
Chapter 3, Problems 13, 14, 15, 23, 26, 31(a)-(b)
Read Chapter 3.4, 3.5
9/23
(Due 9/30):
Chapter 4, Problems 1, 2, 3, 5, 25(a)-(b),
28
Read Chapter 4.1, 4.2, 4.3, 4.4, 4.5, 4.6
9/30
(Due 10/7):
Chapter 4, Problems 30(a)-(b), 33,
38(a)-(b), 40, 51, 52, 57(a)-(b)
Read Chapter 4.7, 4.8.1, 4.8.3
10/7
(Due 10/14):
Chapter 5, Problems 3,4,6,7,11,13
Read Chapter 4.10, 5.1, 5.2
10/21
(Due 10/28):
Chapter 5, Problems 15, 19, 21 (see table on
p. 201)
Chapter 6, Problems 10, 11, 21
Read Chapter 5.3, 5.4 (except 5.4.1), 5.5,
6.1
10/28
(Due 11/4):
Chapter 6, Problems 22, 23, 26, 27, 29, 39
Read Chapter 6.2
11/4
(Due 11/11):
Chapter 7, Problems 1, 4, 6, 7, 9, 16
Read Chapter 7.1, 7.4
11/11
(Due 11/18):
Chapter 8, Problems 1, 2, 3, 4, 5, 6
Read Chapter 8.1, 8.2, 8,3
11/18
(Due 12/2):
Chapter 8, Problems 7,8,10,15
Read Chapter 8.4 and 8.5