CSE 312 Winter 2020 Course Calendar

CSE 312 Winter 2020
Course Calendar

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January

Monday Tuesday Wednesday Thursday Friday

06
HW1 out

09:30-10:20 Lecture
KNE 110
Overview; Counting: product rule
Reading: BT 1.1, 1.2, 1.6, Intro to Schnapsen, Rules of Schnapsen
Notes, HW1 LaTeX source

10:30-11:20 OH (Hans)
Gates 121

14:00-14:50 OH (Robbie)
Gates 121

16:30-17:20 OH (Zhanhao)
Gates 121
07
13:00-13:50 OH (Zongyuan)
Gates 121

14:30-15:20 OH (Su)
Gates 121

15:30-16:20 OH (Bella)
Gates 121
08
09:30-10:20 Lecture
KNE 110
Counting: permutations
Reading: Safety First (Schnapsen analysis)
Trick mechanics, Notes

14:30-15:20 OH (Tina)
Gates 121

15:30-16:20 OH (Joy)
Allen 4th floor breakout

16:30-17:20 OH (Joseph)
Gates 131
09
Section
Counting
Worksheet, Answers

15:30-16:20 OH (Brock)
Gates 121

16:30-17:20 OH (Leiyi)
Gates 121
10
09:30-10:20 Lecture
KNE 110
Counting: combinations, complementing
Notes

11:00-12:00 OH (Martin)
Gates 121

13:30-14:20 OH (Timothy)
Gates 121

14:30-15:20 OH (Jerome)
Gates 121

15:30-17:30 Schnapsen!
MGH 241

13
HW2 out

09:30-10:20 Lecture
KNE 110
Counting: binomial theorem, inclusion-exclusion, pigeonhole principle
Reading: BT 1.3
Notes, HW2 LaTeX source

10:30-11:20 OH (Hans)
Gates 121

14:00-14:50 OH (Robbie)
Gates 121

16:30-17:20 OH (Zhanhao)
Gates 121

22:00 HW1 due
14
13:00-13:50 OH (Zongyuan)
Gates 121

14:30-15:20 OH (Su)
Gates 121

15:30-16:20 OH (Bella)
Gates 121
15
09:30-10:20 Lecture
KNE 110
Intro to probability, equally likely outcomes
Notes

10:30-11:20 OH (Kushal)
Gates 121

14:30-15:20 OH (Tina)
Gates 121

15:30-16:20 OH (Joy)
Allen 4th floor breakout

16:30-17:20 OH (Joseph)
Gates 131
16
Section
Counting, intro to probability
Worksheet, Answers

15:30-16:20 OH (Brock)
Gates 121

16:30-17:20 OH (Leiyi)
Gates 121
17
09:30-10:20 Lecture
KNE 110
Conditional probability
Reading: BT 1.5
Notes

11:00-12:00 OH (Martin)
Gates 121

13:30-14:20 OH (Timothy)
Gates 121

14:30-15:20 OH (Jerome)
Gates 121

15:30-17:30 Schnapsen!
MGH 241

20
MLK Day
21
HW3 out

10:50-11:40 OH (Hans)
Allen 3rd floor breakout

13:00-13:50 OH (Zongyuan)
Gates 121

14:30-15:20 OH (Su)
Gates 121

15:30-16:20 OH (Bella)
Gates 121

22:00 HW2 due
22
09:30-10:20 Lecture
KNE 110
Law of Total Probability, Bayes' Theorem
Reading: BT 1.4
Notes, HW3 LaTeX source

10:30-11:20 OH (Kushal)
Gates 121

14:30-15:20 OH (Tina)
Gates 121

15:30-16:20 OH (Joy)
Allen 4th floor breakout

16:30-17:20 OH (Joseph)
Gates 131
23
Section
Conditional probability
Worksheet, Answers

15:30-16:20 OH (Brock)
Gates 121

16:30-17:20 OH (Leiyi)
Gates 121
24
09:30-10:20 Lecture
KNE 110
Independent events
Reading: BT 2.1-2.3
Notes

11:00-12:00 OH (Martin)
Gates 121

13:30-14:20 OH (Timothy)
Gates 121

15:30-17:30 Schnapsen!
CSE 503

27
09:30-10:20 Lecture
KNE 110
Gambler's Ruin, Naive Bayes classifier
Reading: Naive Bayes notes
Slides (PDF, PPTX), Notes

10:30-11:20 OH (Bella)
Gates 121

14:00-14:50 OH (Robbie)
Gates 121

16:30-17:20 OH (Zhanhao)
Gates 121
28
13:00-13:50 OH (Zongyuan)
Gates 121

14:30-15:20 OH (Su)
Gates 121

15:30-16:20 OH (Bella)
Gates 121
29
HW4 out

09:30-10:20 Lecture
KNE 110
Random variables, expectation
Reading: BT 2.4, Expected Game Points, previous year's exercise
Notes, HW4 LaTeX source

10:30-11:20 OH (Kushal)
Gates 121

14:30-15:20 OH (Tina)
Gates 121

15:30-16:20 OH (Joy)
Allen 4th floor breakout

16:30-17:20 OH (Joseph)
Gates 131

22:00 HW3 due
30
Section
Random variables
Random variable review, Worksheet, Answers

15:30-16:20 OH (Brock)
Gates 121

16:30-17:20 OH (Leiyi)
Gates 121
31
09:30-10:20 Lecture
KNE 110
Geometric random variable, linearity of expectation
Reading: BT 2.7
Notes

11:00-12:00 OH (Martin)
Gates 121

13:30-14:20 OH (Timothy)
Gates 121

14:30-15:20 OH (Jerome)
Gates 121

15:30-17:30 Schnapsen!
CSE 503

February

Monday Tuesday Wednesday Thursday Friday

03
09:30-10:20 Lecture
KNE 110
Variance, independent random variables
Notes

10:30-11:20 OH (Hans)
Gates 121

14:00-14:50 OH (Robbie)
Gates 121

16:30-17:20 OH (Zhanhao)
Gates 121
04
13:00-13:50 OH (Zongyuan)
Gates 121

14:30-15:20 OH (Su)
Gates 121

15:30-16:20 OH (Bella)
Gates 121
05
09:30-10:20 Lecture
KNE 110
Uniform, Bernoulli, binomial distributions
Reading: BT 3.1-3.2
Notes, Slide pack 6 slide 67

10:30-11:20 OH (Kushal)
Gates 121

14:30-15:20 OH (Tina)
Gates 121

15:30-16:20 OH (Joy)
Allen 4th floor breakout

16:30-17:20 OH (Joseph)
Gates 131
06
Section
Linearity of expectation, midterm review
Midterm advice, Worksheet, Answers, Practice Midterm 1, Answers, Practice Midterm 2, Answers

15:30-16:20 OH (Brock)
Gates 121

16:30-17:20 OH (Leiyi)
Gates 121
07
HW5 out

09:30-10:20 Lecture
KNE 110
Error-correcting codes, Poisson distribution
Slide pack 6 slides 68-80, general Hamming code, HW5 LaTeX source

11:00-12:00 OH (Martin)
Gates 121

13:30-14:20 OH (Timothy)
Gates 121

14:30-15:20 OH (Jerome)
Gates 121

15:30-17:30 Schnapsen!
CSE 503

22:00 HW4 due

10
09:30-10:20 Lecture
KNE 110
Continuous random variables
Reading: BT 3.3
Notes

10:30-11:20 OH (Hans)
Gates 121

14:00-14:50 OH (Robbie)
Gates 121

16:30-17:20 OH (Zhanhao)
Gates 121
11
13:00-13:50 OH (Zongyuan)
Gates 121

14:30-15:20 OH (Su)
Gates 121

15:30-16:20 OH (Bella)
Gates 121
12
09:30-10:20 Midterm exam
KNE 110

10:30-11:20 OH (Kushal)
Gates 121

14:30-15:20 OH (Tina)
Gates 121

15:30-16:20 OH (Joy)
Allen 4th floor breakout

16:30-17:20 OH (Joseph)
Gates 131
13
Section
Variance; Poisson random variables
Worksheet, Answers

15:30-16:20 OH (Brock)
Gates 121

16:30-17:20 OH (Leiyi)
Gates 121
14
HW6 out

09:30-10:20 Lecture
KNE 110
Uniform, exponential distributions
Reading: BT 7.4
Notes, HW6 LaTeX source

11:00-12:00 OH (Martin)
Gates 121

13:30-14:20 OH (Timothy)
Gates 121

14:30-15:20 OH (Jerome)
Gates 121

15:30-17:30 Schnapsen!
CSE 503

22:00 HW5 due

17
President's Day
18
13:00-13:50 OH (Zongyuan)
Gates 121

14:30-15:20 OH (Su)
Gates 121

15:30-16:20 OH (Bella)
Gates 121
19
09:30-10:20 Lecture
KNE 110
Midterm debriefing, normal distribution
Slide pack 7, slides 20-24, Notes

10:30-11:20 OH (Kushal)
Gates 121

14:30-15:20 OH (Tina)
Gates 121

15:30-16:20 OH (Joy)
Allen 4th floor breakout

16:30-17:20 OH (Joseph)
Gates 131
20
Section
Continuous random variables
Worksheet, Answers

15:30-16:20 OH (Brock)
Gates 121

16:30-17:20 OH (Leiyi)
Gates 121
21
HW7 out

09:30-10:20 Lecture
KNE 110
Central Limit Theorem
Slide pack 7, slides 24-33, Demo, Notes, HW7 LaTeX source

11:00-12:00 OH (Martin)
Gates 121

13:30-14:20 OH (Timothy)
Gates 121

14:30-15:20 OH (Jerome)
Gates 121

22:00 HW6 due

24
09:30-10:20 Lecture
KNE 110
Approximating binomial via Central Limit Theorem, continuity correction
Reading: BT 7.1
Slide pack 10, slides 30-42

10:30-11:20 OH (Hans)
Gates 121

14:00-14:50 OH (Robbie)
Gates 121

16:30-17:20 OH (Zhanhao)
Gates 121
25
13:00-13:50 OH (Zongyuan)
Gates 121

14:30-15:20 OH (Su)
Gates 121

15:30-16:20 OH (Bella)
Gates 121
26
09:30-10:20 Lecture
KNE 110
Markov and Chebyshev inequalities
Reading: BT 7.2, 7.5
Notes

10:30-11:20 OH (Kushal)
Gates 121

14:30-15:20 OH (Tina)
Gates 121

15:30-16:20 OH (Joy)
Allen 4th floor breakout

16:30-17:20 OH (Joseph)
Gates 131
27
Section
Central limit theorem
Worksheet, Answers, Detailed CLT solution, CLT summary

15:30-16:20 OH (Brock)
Gates 121

16:30-17:20 OH (Leiyi)
Gates 121
28
09:30-10:20 Lecture
KNE 110
Chernoff Inequality, law of large numbers
Reading: Maximum likelihood estimators
Slide pack 10, slides 14-19, Notes

11:00-12:00 OH (Martin)
Gates 121

13:30-14:20 OH (Timothy)
Gates 121

14:30-15:20 OH (Jerome)
Gates 121

15:30-17:30 Schnapsen!
CSE 503

March

Monday Tuesday Wednesday Thursday Friday

02
HW8 out

09:30-10:20 Lecture
KNE 110
Maximum likelihood estimators
Reading: Bias and confidence intervals
Notes, HW8 LaTeX source

10:30-11:20 OH (Hans)
Gates 121

14:00-14:50 OH (Robbie)
Gates 121

16:30-17:20 OH (Zhanhao)
Gates 121

22:00 HW7 due
03
13:00-13:50 OH (Zongyuan)
Gates 121

14:30-15:20 OH (Su)
Gates 121

15:30-16:20 OH (Bella)
Gates 121
04
09:30-10:20 Lecture
KNE 110
Maximum likelihood estimators for normal distribution; bias
Notes

10:30-11:20 OH (Kushal)
Gates 121

14:30-15:20 OH (Tina)
Gates 121

15:30-16:20 OH (Joy)
Allen 4th floor breakout

16:30-17:20 OH (Joseph)
Gates 131
05
Section
Maximum likelihood estimators
Worksheet, Answers

15:30-16:20 OH (Brock)
Gates 121

16:30-17:20 OH (Leiyi)
Gates 121
06
09:30-10:20 Lecture
KNE 110
Confidence intervals
Notes

11:00-12:00 OH (Martin)
Gates 121

13:30-14:20 OH (Timothy)
Gates 121

14:30-15:20 OH (Jerome)
Gates 121

09
09:30-10:20 Lecture
KNE 110
Probabilistic algorithms: primality, quicksort
Notes

10:30-11:20 OH (Hans)
Zoom

14:00-14:50 OH (Robbie)
Zoom

16:30-17:20 OH (Zhanhao)
Zoom
10
13:00-13:50 OH (Zongyuan)
Zoom

14:30-15:20 OH (Su)
Zoom

15:30-16:20 OH (Bella)
Zoom

17:30-18:20 OH (Leiyi)
Zoom
11
09:30-10:20 Lecture
KNE 110
Freivalds' algorithm
Freivalds' algorithm slides

10:30-11:20 OH (Kushal)
Zoom

14:30-15:20 OH (Tina)
Zoom

15:30-16:20 OH (Joy)
Zoom

16:30-17:20 OH (Joseph)
Zoom

22:00 HW8 due
12
Section
Final exam materials, just for interest
Final advice, Worksheet, Answers
13
09:30-10:20 Lecture
KNE 110
Doktor Schnaps live: watch the Maestro get crushed!
Where Doktor Schnaps implements randomization

January
Monday	Tuesday	Wednesday	Thursday	Friday
06 HW1 out 09:30-10:20 Lecture KNE 110 Overview; Counting: product rule Reading: BT 1.1, 1.2, 1.6, Intro to Schnapsen, Rules of Schnapsen Notes, HW1 LaTeX source 10:30-11:20 OH (Hans) Gates 121 14:00-14:50 OH (Robbie) Gates 121 16:30-17:20 OH (Zhanhao) Gates 121	07 13:00-13:50 OH (Zongyuan) Gates 121 14:30-15:20 OH (Su) Gates 121 15:30-16:20 OH (Bella) Gates 121	08 09:30-10:20 Lecture KNE 110 Counting: permutations Reading: Safety First (Schnapsen analysis) Trick mechanics, Notes 14:30-15:20 OH (Tina) Gates 121 15:30-16:20 OH (Joy) Allen 4th floor breakout 16:30-17:20 OH (Joseph) Gates 131	09 Section Counting Worksheet, Answers 15:30-16:20 OH (Brock) Gates 121 16:30-17:20 OH (Leiyi) Gates 121	10 09:30-10:20 Lecture KNE 110 Counting: combinations, complementing Notes 11:00-12:00 OH (Martin) Gates 121 13:30-14:20 OH (Timothy) Gates 121 14:30-15:20 OH (Jerome) Gates 121 15:30-17:30 Schnapsen! MGH 241
13 HW2 out 09:30-10:20 Lecture KNE 110 Counting: binomial theorem, inclusion-exclusion, pigeonhole principle Reading: BT 1.3 Notes, HW2 LaTeX source 10:30-11:20 OH (Hans) Gates 121 14:00-14:50 OH (Robbie) Gates 121 16:30-17:20 OH (Zhanhao) Gates 121 22:00 HW1 due	14 13:00-13:50 OH (Zongyuan) Gates 121 14:30-15:20 OH (Su) Gates 121 15:30-16:20 OH (Bella) Gates 121	15 09:30-10:20 Lecture KNE 110 Intro to probability, equally likely outcomes Notes 10:30-11:20 OH (Kushal) Gates 121 14:30-15:20 OH (Tina) Gates 121 15:30-16:20 OH (Joy) Allen 4th floor breakout 16:30-17:20 OH (Joseph) Gates 131	16 Section Counting, intro to probability Worksheet, Answers 15:30-16:20 OH (Brock) Gates 121 16:30-17:20 OH (Leiyi) Gates 121	17 09:30-10:20 Lecture KNE 110 Conditional probability Reading: BT 1.5 Notes 11:00-12:00 OH (Martin) Gates 121 13:30-14:20 OH (Timothy) Gates 121 14:30-15:20 OH (Jerome) Gates 121 15:30-17:30 Schnapsen! MGH 241
20 MLK Day	21 HW3 out 10:50-11:40 OH (Hans) Allen 3rd floor breakout 13:00-13:50 OH (Zongyuan) Gates 121 14:30-15:20 OH (Su) Gates 121 15:30-16:20 OH (Bella) Gates 121 22:00 HW2 due	22 09:30-10:20 Lecture KNE 110 Law of Total Probability, Bayes' Theorem Reading: BT 1.4 Notes, HW3 LaTeX source 10:30-11:20 OH (Kushal) Gates 121 14:30-15:20 OH (Tina) Gates 121 15:30-16:20 OH (Joy) Allen 4th floor breakout 16:30-17:20 OH (Joseph) Gates 131	23 Section Conditional probability Worksheet, Answers 15:30-16:20 OH (Brock) Gates 121 16:30-17:20 OH (Leiyi) Gates 121	24 09:30-10:20 Lecture KNE 110 Independent events Reading: BT 2.1-2.3 Notes 11:00-12:00 OH (Martin) Gates 121 13:30-14:20 OH (Timothy) Gates 121 15:30-17:30 Schnapsen! CSE 503
27 09:30-10:20 Lecture KNE 110 Gambler's Ruin, Naive Bayes classifier Reading: Naive Bayes notes Slides (PDF, PPTX), Notes 10:30-11:20 OH (Bella) Gates 121 14:00-14:50 OH (Robbie) Gates 121 16:30-17:20 OH (Zhanhao) Gates 121	28 13:00-13:50 OH (Zongyuan) Gates 121 14:30-15:20 OH (Su) Gates 121 15:30-16:20 OH (Bella) Gates 121	29 HW4 out 09:30-10:20 Lecture KNE 110 Random variables, expectation Reading: BT 2.4, Expected Game Points, previous year's exercise Notes, HW4 LaTeX source 10:30-11:20 OH (Kushal) Gates 121 14:30-15:20 OH (Tina) Gates 121 15:30-16:20 OH (Joy) Allen 4th floor breakout 16:30-17:20 OH (Joseph) Gates 131 22:00 HW3 due	30 Section Random variables Random variable review, Worksheet, Answers 15:30-16:20 OH (Brock) Gates 121 16:30-17:20 OH (Leiyi) Gates 121	31 09:30-10:20 Lecture KNE 110 Geometric random variable, linearity of expectation Reading: BT 2.7 Notes 11:00-12:00 OH (Martin) Gates 121 13:30-14:20 OH (Timothy) Gates 121 14:30-15:20 OH (Jerome) Gates 121 15:30-17:30 Schnapsen! CSE 503

February
Monday	Tuesday	Wednesday	Thursday	Friday
03 09:30-10:20 Lecture KNE 110 Variance, independent random variables Notes 10:30-11:20 OH (Hans) Gates 121 14:00-14:50 OH (Robbie) Gates 121 16:30-17:20 OH (Zhanhao) Gates 121	04 13:00-13:50 OH (Zongyuan) Gates 121 14:30-15:20 OH (Su) Gates 121 15:30-16:20 OH (Bella) Gates 121	05 09:30-10:20 Lecture KNE 110 Uniform, Bernoulli, binomial distributions Reading: BT 3.1-3.2 Notes, Slide pack 6 slide 67 10:30-11:20 OH (Kushal) Gates 121 14:30-15:20 OH (Tina) Gates 121 15:30-16:20 OH (Joy) Allen 4th floor breakout 16:30-17:20 OH (Joseph) Gates 131	06 Section Linearity of expectation, midterm review Midterm advice, Worksheet, Answers, Practice Midterm 1, Answers, Practice Midterm 2, Answers 15:30-16:20 OH (Brock) Gates 121 16:30-17:20 OH (Leiyi) Gates 121	07 HW5 out 09:30-10:20 Lecture KNE 110 Error-correcting codes, Poisson distribution Slide pack 6 slides 68-80, general Hamming code, HW5 LaTeX source 11:00-12:00 OH (Martin) Gates 121 13:30-14:20 OH (Timothy) Gates 121 14:30-15:20 OH (Jerome) Gates 121 15:30-17:30 Schnapsen! CSE 503 22:00 HW4 due
10 09:30-10:20 Lecture KNE 110 Continuous random variables Reading: BT 3.3 Notes 10:30-11:20 OH (Hans) Gates 121 14:00-14:50 OH (Robbie) Gates 121 16:30-17:20 OH (Zhanhao) Gates 121	11 13:00-13:50 OH (Zongyuan) Gates 121 14:30-15:20 OH (Su) Gates 121 15:30-16:20 OH (Bella) Gates 121	12 09:30-10:20 Midterm exam KNE 110 10:30-11:20 OH (Kushal) Gates 121 14:30-15:20 OH (Tina) Gates 121 15:30-16:20 OH (Joy) Allen 4th floor breakout 16:30-17:20 OH (Joseph) Gates 131	13 Section Variance; Poisson random variables Worksheet, Answers 15:30-16:20 OH (Brock) Gates 121 16:30-17:20 OH (Leiyi) Gates 121	14 HW6 out 09:30-10:20 Lecture KNE 110 Uniform, exponential distributions Reading: BT 7.4 Notes, HW6 LaTeX source 11:00-12:00 OH (Martin) Gates 121 13:30-14:20 OH (Timothy) Gates 121 14:30-15:20 OH (Jerome) Gates 121 15:30-17:30 Schnapsen! CSE 503 22:00 HW5 due
17 President's Day	18 13:00-13:50 OH (Zongyuan) Gates 121 14:30-15:20 OH (Su) Gates 121 15:30-16:20 OH (Bella) Gates 121	19 09:30-10:20 Lecture KNE 110 Midterm debriefing, normal distribution Slide pack 7, slides 20-24, Notes 10:30-11:20 OH (Kushal) Gates 121 14:30-15:20 OH (Tina) Gates 121 15:30-16:20 OH (Joy) Allen 4th floor breakout 16:30-17:20 OH (Joseph) Gates 131	20 Section Continuous random variables Worksheet, Answers 15:30-16:20 OH (Brock) Gates 121 16:30-17:20 OH (Leiyi) Gates 121	21 HW7 out 09:30-10:20 Lecture KNE 110 Central Limit Theorem Slide pack 7, slides 24-33, Demo, Notes, HW7 LaTeX source 11:00-12:00 OH (Martin) Gates 121 13:30-14:20 OH (Timothy) Gates 121 14:30-15:20 OH (Jerome) Gates 121 22:00 HW6 due
24 09:30-10:20 Lecture KNE 110 Approximating binomial via Central Limit Theorem, continuity correction Reading: BT 7.1 Slide pack 10, slides 30-42 10:30-11:20 OH (Hans) Gates 121 14:00-14:50 OH (Robbie) Gates 121 16:30-17:20 OH (Zhanhao) Gates 121	25 13:00-13:50 OH (Zongyuan) Gates 121 14:30-15:20 OH (Su) Gates 121 15:30-16:20 OH (Bella) Gates 121	26 09:30-10:20 Lecture KNE 110 Markov and Chebyshev inequalities Reading: BT 7.2, 7.5 Notes 10:30-11:20 OH (Kushal) Gates 121 14:30-15:20 OH (Tina) Gates 121 15:30-16:20 OH (Joy) Allen 4th floor breakout 16:30-17:20 OH (Joseph) Gates 131	27 Section Central limit theorem Worksheet, Answers, Detailed CLT solution, CLT summary 15:30-16:20 OH (Brock) Gates 121 16:30-17:20 OH (Leiyi) Gates 121	28 09:30-10:20 Lecture KNE 110 Chernoff Inequality, law of large numbers Reading: Maximum likelihood estimators Slide pack 10, slides 14-19, Notes 11:00-12:00 OH (Martin) Gates 121 13:30-14:20 OH (Timothy) Gates 121 14:30-15:20 OH (Jerome) Gates 121 15:30-17:30 Schnapsen! CSE 503

March
Monday	Tuesday	Wednesday	Thursday	Friday
02 HW8 out 09:30-10:20 Lecture KNE 110 Maximum likelihood estimators Reading: Bias and confidence intervals Notes, HW8 LaTeX source 10:30-11:20 OH (Hans) Gates 121 14:00-14:50 OH (Robbie) Gates 121 16:30-17:20 OH (Zhanhao) Gates 121 22:00 HW7 due	03 13:00-13:50 OH (Zongyuan) Gates 121 14:30-15:20 OH (Su) Gates 121 15:30-16:20 OH (Bella) Gates 121	04 09:30-10:20 Lecture KNE 110 Maximum likelihood estimators for normal distribution; bias Notes 10:30-11:20 OH (Kushal) Gates 121 14:30-15:20 OH (Tina) Gates 121 15:30-16:20 OH (Joy) Allen 4th floor breakout 16:30-17:20 OH (Joseph) Gates 131	05 Section Maximum likelihood estimators Worksheet, Answers 15:30-16:20 OH (Brock) Gates 121 16:30-17:20 OH (Leiyi) Gates 121	06 09:30-10:20 Lecture KNE 110 Confidence intervals Notes 11:00-12:00 OH (Martin) Gates 121 13:30-14:20 OH (Timothy) Gates 121 14:30-15:20 OH (Jerome) Gates 121
09 09:30-10:20 Lecture KNE 110 Probabilistic algorithms: primality, quicksort Notes 10:30-11:20 OH (Hans) Zoom 14:00-14:50 OH (Robbie) Zoom 16:30-17:20 OH (Zhanhao) Zoom	10 13:00-13:50 OH (Zongyuan) Zoom 14:30-15:20 OH (Su) Zoom 15:30-16:20 OH (Bella) Zoom 17:30-18:20 OH (Leiyi) Zoom	11 09:30-10:20 Lecture KNE 110 Freivalds' algorithm Freivalds' algorithm slides 10:30-11:20 OH (Kushal) Zoom 14:30-15:20 OH (Tina) Zoom 15:30-16:20 OH (Joy) Zoom 16:30-17:20 OH (Joseph) Zoom 22:00 HW8 due	12 Section Final exam materials, just for interest Final advice, Worksheet, Answers	13 09:30-10:20 Lecture KNE 110 Doktor Schnaps live: watch the Maestro get crushed! Where Doktor Schnaps implements randomization