CSE 312 Winter 2014
Course Calendar

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January
MondayTuesdayWednesdayThursdayFriday
06
13:30-14:20 Lecture
GLD 322
Overview
Reading: BT 1.1, 1.2, 1.6, Intro to Schnapsen, Rules of Schnapsen
15:00-16:00 OH (Martin)
CSE 538
07
14:30-15:20 OH (Kane)
CSE 220
08
12:00-13:00 OH (Vincent)
CSE 220
13:30-14:20 Lecture
GLD 322
Counting: product rule, permutations
Reading: Safety First (Schnapsen analysis)
Trick mechanics
09
Section
Permutation examples
16:30-17:30 OH (Siva)
CSE 220
10
HW1 out
9:30-10:20 OH (Si J.)
CSE 220
10:30-11:20 OH (Yixuan)
CSE 218
13:30-14:20 Lecture
GLD 322
Counting: combinations
14:30-15:30 Schnapsen!
CSE 503
13
13:30-14:20 Lecture
GLD 322
Counting: complementing, inclusion-exclusion, pigeonhole; Intro to probability
15:00-16:00 OH (Martin)
CSE 538
14
14:30-15:20 OH (Kane)
CSE 220
15
12:00-13:00 OH (Vincent)
CSE 220
13:30-14:20 Lecture
GLD 322
Probability axioms, equiprobable outcomes
Reading: BT 1.3
16
Section
Probability examples with equally likely outcomes
16:30-17:30 OH (Siva)
CSE 220
17
HW2 out
9:30-10:20 OH (Si J.)
CSE 220
10:30-11:20 OH (Yixuan)
CSE 218
13:30 HW1 due
13:30-14:20 Lecture
GLD 322
Conditional probability
Reading: BT 1.4
20
Martin Luther King, Jr's Birthday
21
14:30-15:20 OH (Kane)
CSE 220
22
12:00-13:00 OH (Vincent)
CSE 220
13:30-14:20 Lecture
GLD 322
Law of Total Probability
23
Section
HW1 solutions
16:30-17:30 OH (Siva)
CSE 220
24
HW3 out
9:30-10:20 OH (Si J.)
CSE 220
10:30-11:20 OH (Yixuan)
CSE 218
13:30 HW2 due
13:30-14:20 Lecture
GLD 322
Bayes' Rule
Reading: BT 1.5
27
13:30-14:20 Lecture
GLD 322
Independence
Reading: BT 2.1-2.3
15:00-16:00 OH (Martin)
CSE 538
28
14:30-15:20 OH (Kane)
CSE 220
29
12:00-13:00 OH (Vincent)
CSE 220
13:30-14:20 Lecture
GLD 322
Random variables
Reading: BT 2.4, 2.7
30
Section
HW2 solutions, expectation example
16:30-17:30 OH (Siva)
CSE 220
31
HW4 out
9:30-10:20 OH (Si J.)
CSE 220
10:30-11:20 OH (Yixuan)
CSE 218
13:30 HW3 due
13:30-14:20 Lecture
GLD 322
Expectation
Reading: Expected Game Points, last year's exercise
15:30-16:30 Schnapsen!
CSE 670

February
MondayTuesdayWednesdayThursdayFriday
03
13:30-14:20 Lecture
GLD 322
Linearity of expectation
15:00-16:00 OH (Martin)
CSE 538
04
14:30-15:20 OH (Kane)
CSE 220
05
12:00-13:00 OH (Vincent)
CSE 220
13:30-14:20 Lecture
GLD 322
Variance
06
Section
HW3 solutions, midterm review, linearity example
16:30-17:30 OH (Siva)
CSE 220
07
9:30-10:20 OH (Si J.)
CSE 220
10:30-11:20 OH (Yixuan)
CSE 218
13:30-14:20 Midterm exam
GLD 322
10
HW5 out
13:30 HW4 due
13:30-14:20 Lecture
GLD 322
Uniform, Bernoulli, binomial distributions
15:00-16:00 OH (Martin)
CSE 538
11
14:30-15:20 OH (Kane)
CSE 220
12
12:00-13:00 OH (Vincent)
CSE 220
13:30-14:20 Lecture
GLD 322
Error-correcting codes
13
Section
HW4 solutions, midterm solutions
16:30-17:30 OH (Siva)
CSE 220
14
HW6 out
9:30-10:20 OH (Si J.)
CSE 220
10:30-11:20 OH (Yixuan)
CSE 218
13:30 HW5 due
13:30-14:20 Lecture
GLD 322
Poisson distribution
Reading: BT 3.1-3.2
17
Presidents' Day
18
14:30-15:20 OH (Kane)
CSE 220
19
12:00-13:00 OH (Vincent)
CSE 220
13:30-14:20 Lecture
GLD 322
Continuous random variables, uniform, exponential
Reading: BT 3.3
20
Section
HW5 solutions, properties of exponential distribution
16:30-17:30 OH (Siva)
CSE 220
21
9:30-10:20 OH (Si J.)
CSE 220
10:30-11:20 OH (Yixuan)
CSE 218
13:30-14:20 Lecture
GLD 322
Normal distribution
Reading: BT 5.4
24
HW7 out
13:30 HW6 due
13:30-14:20 Lecture
GLD 322
Central Limit Theorem, Markov and Chebyshev inequalities
Reading: BT 5.1
15:00-16:00 OH (Martin)
CSE 538
25
14:30-15:20 OH (Kane)
CSE 220
26
12:00-13:00 OH (Vincent)
CSE 220
13:30-14:20 Lecture
GLD 322
Chernoff bound, Quicksort
27
Section
HW6 solutions, example of Chernoff bound
16:30-17:30 OH (Siva)
CSE 220
28
9:30-10:20 OH (Si J.)
CSE 220
10:30-11:20 OH (Yixuan)
CSE 218
13:30-14:20 Lecture
GLD 322
Analysis of randomized Quicksort
Reading: BT 5.2, 5.5

March
MondayTuesdayWednesdayThursdayFriday
03
HW8 out
13:30 HW7 due
13:30-14:20 Lecture
GLD 322
Law of large numbers
Reading: BT 9.1
15:00-16:00 OH (Martin)
CSE 538
04
14:30-15:20 OH (Kane)
CSE 220
05
12:00-13:00 OH (Vincent)
CSE 220
13:30-14:20 Lecture
GLD 322
Maximum likelihood estimators
06
Section
HW7 solutions, using probability density functions in maximum likelihood estimators
16:30-17:30 OH (Siva)
CSE 220
07
9:30-10:20 OH (Si J.)
CSE 220
10:30-11:20 OH (Yixuan)
CSE 218
13:30-14:20 Lecture
GLD 322
Bias
10
13:30 HW8 due
13:30-14:20 Lecture
GLD 322
Confidence intervals
15:00-16:00 OH (Martin)
CSE 538
11
14:30-15:20 OH (Kane)
CSE 220
12
12:00-13:00 OH (Vincent)
CSE 220
13:30-14:20 Lecture
GLD 322
Freivalds' randomized algorithm
slides
13
Section
HW8 solutions, final exam review
Review of distributions, Review questions, Answers
16:30-17:30 OH (Siva)
CSE 220
14
9:30-10:20 OH (Si J.)
CSE 220
10:30-11:20 OH (Yixuan)
CSE 218
13:30-14:20 Lecture
GLD 322
Final exam review
17
14:30-16:20 Final exam
GLD 322
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