CIS 2033 - Spring 2014 - Schedule and Homework Assignments

Dr. Longin Jan Latecki        TA: David Dobor

Class date

Chapter

Topic

Problems

Lab Assignments and example Matlab code

Jan 24

 

Intro Matlab, questions, answers     

Jan 27

2 Outcomes, events, and probability

D2.1, D2.2, D2.4, D2.9  (due Jan 29)

 

Birthday Problem Descr and Matlab code

Jan 31

3

Conditional probability, robotEx

D3.4, D3.9, D3.10, D3.16, D3.18  (due Feb 7)

Newton-Pepys problem

Feb 3

4

snow

 

 

Feb 7

4

Discrete random variables

D4.2, D4.3, D4.4, D4.7, D4.8, D4.11 (due Feb 12)

BinomialEx, geom_pmf

Feb 10

5

Continuous random variables, Video1

D5.1, D5.3, D5.5 (due Feb. 12)

M4.1 (lab),
M4.2 (due Feb. 22)

Feb 14

 

snow

 

 

Feb 17

 

Quantiles, Naive Bayes Classifier, Video2

D5.11 (due Feb. 19), homework in Naive Bayes Classifier (due Feb. 26)

NaiveBayesClass

Feb 21

6

Simulation

D6.1, D6.3, D6.6, D6.9 (due Feb. 26)

Gaussian Ex, sampling Ex

Feb 24

 

Review

 

 

Feb 28

6, 7

Simulation, Expectation and variance, Video3

D7.1, D7.2, D7.9, D7.13 (due Mar. 12)

M6.1 (lab),
M6.2 (due Mar. 29)

Mar 10

9

Joint distributions and independence
Double Integral 1, Double Integrals 2

D9.1, D9.3, D9.4, D9.6, D9.7 (due Mar. 12)

M7.1 (lab)

Mar 14

9

Joint distributions and independence
Double Integrals 3, Double Integrals 4
D9.10 (due Mar. 19)  

Mar 17

 

Review

 

 
Mar 21   Midterm exam    

Mar 24

10

Covariance and correlation

 

D10.1, D10.5, D10.8, D10.11, D10.15 (due Mar. 26) M10.1 (due Apr. 5)

Mar 28

 

Midterm exam discussion

 

 

Mar 31

12

Poisson Process 1, Poisson Process 2
Poisson process

D12.2, D12.3, D12.4, D12.5 (due Apr. 2)

 

Apr 4

13

Law of Large Numbers, Khan Video 

D13.1, D13.5 (due Apr. 9)

 

Apr 7

14

The central limit theorem D14.2 (due Apr. 9)  

Apr 11

15

Data analysis: graphical summaries

D15.1, D15.2, D15.5, D15.7 (due Apr. 16)

Kernel Density Ex
M15 (due Apr. 19)

Apr 14

16, 17 Data analysis: numerical summaries
Basic statistical models

D17.1, D17.2, D17.4, D17.5 (due Apr. 23)

M16 (lab)

Apr 18

19, 20

Unbiased estimators
Efficiency and mean squared error

D19.2, D19.3, D20.5, D20.6 (due Apr. 23)

 

Apr 21

21

Maximum likelihood
ML Video

 

 

Apr 25

21 Maximum likelihood

D21.2, D21.7, D21.9 (due Apr. 30)

 

Apr 28

22

The method of least squares
Khan Video1, Khan Video2

D22.2, D22.3, D22.4, D22.8 (due Apr. 30)

 
May 2   Review    

May 5

 

Review

 

 

May 12

 

Final Exam

Time: 10:30-12:30

in TL 401A

 

D: Dekking, F.M., Kraaikamp, C., Lopuhaa, H.P., Meester, L.E., A Modern Introduction to Probability and Statistics. Second Edition. Springer 2007.

 

B: Michael Baron. Probability and Statistics for Computer Scientists, second edition, CRC, 2014.

 

M: Matlab assignment from Lab Assignments