131A
Probability
Instructor: EE Lara Dolecek
Lecture/Section #
Date
L1
9/28/11
L3
10/03/11
L4
10/05/11
L5
Assignment
9/26/11
L2
Syllabus
Monday, 9/26/2011
10/10/11
L6
10/12/11
L7
10/19/11
L9
L10
11/02/11
L13
11/09/11
L15
11/16/11
L17
ch 3
Discrete RVs. CDF. (8,9)
Discrete RVs, Experiments. (7,8,9)
PDF, expectation, variance, higherorder moments. (9)
Important discrete and continuous
RVs. (10,11)
11/23/11
L19
L20
11/28/11
11/30/11
12/08/11
4.1 4.3
4.4
HW 3 due,
HW 4 out
4.5
Functions of RVs. (11)
5.6 5.10
Midterm review and examples. (7)
MIDTERM, IN CLASS
Transform methods. Characteristic
function. (13)
Markov and Chebyshev inequalities. Computer methods. (12,18)
Pseudo-random number generation. Matlab Assignment. (18,19)
Pairs of RVs. Marginal conditional and PDFs. Joint CDF. (14)
Functions of two RVs. (14)
ch 6
Vector RVs. Jointly Gaussian RVs.
ch 7
Sums of RVs. Law of large numbers. Central limit theorem. (15,
16)
ch 8
Chi-square test. Statistics (17)
ch 8
Statistics (17)
Final review
FINAL, 3 6 PM
4.7
HW 4 due,
HW 5 out
4.6, 4.9
HW 5 due,
HW 6 out
5.1 5.5
HW 6 due,
HW 7 out
11/21/11
L18
Topics (course outcome numbers)
Sample space. Set properties. Axioms of probability. (1,2,3)
Counting methods. Combinatorics.
Permutations and Combinations.
(4)
Conditional probability.
Bayes
rule. (5,6)
ch3, 2.6
HW 2 due,
HW 3 out
11/14/11
L16
HW 1 due,
HW 2 out
11/07/11
L14
2.3
2.42.5
10/31/11
L12
HW 1 out
10/24/11
10/26/11
L11
2.12.2
10/17/11
L8
Reading
HW 7 due,
HW 8 out
HW 8 due
1