News:
02/02: No class on 2/2 owing to snow day. Our first lecture will be on 2/4 via Zoom. Meeting link on Blackboard, under Zoom Meeting tab on the left.
01/12: Piazza course signup link
Date  Topic  Readings  Notes 

Feb 02 (Tu)  Snow day  No class  
Feb 04 (Th) [Lec 01] 
Course introduction, class logistics  
Feb 09 (Tu) [Lec 02] 
Probability review  1

AoS 1.1  1.5 MHB 3.1  3.4 

Feb 11 (Th) [Lec 03] 
Probability review  2

AoS 1.6, 1.7 MHB 3.3  3.6 
assignment 1 out 
Feb 16 (Tu) [Lec 04] 
Random variables  1: Overview and Discrete RVs

AoS 2.1  2.3, 3.1  3.4 MHB 3.7  3.9 
Python scripts: draw_Bernoulli, draw_Binomial, draw_Geometric 
Feb 18 (Th) [Lec 05] 
Random variables  2: Continuous RVs

AoS 2.4, 3.1  3.4 MHB 3.7  3.9, 3.14.1 
Python scripts: draw_Uniform, draw_Exponential, draw_Normal 
Feb 23 (Tu) [Lec 06] 
Random variables  3: Joint distributions & conditioning

AoS 2.5  2.8 MHB 3.10  3.13, 3.15 
assignment 2 out assignment 1 due 
Feb 25 (Th) [Lec 07] 
Probability Inequalities

AoS 5.3, 5.4 MHB 3.14.2, 5.2 

Mar 02 (Tu) [Lec 08] 
Markov chains

AoS 23.1  23.3 MHB 8.1  8.7 

Mar 04 (Th) [Lec 09] 
Nonparametric inference  1

AoS 6.1  6.2, 6.3.1  
Mar 09 (Tu) [Lec 10] 
Nonparametric inference  2

AoS 7.1  7.2  assignment 3 out. Required data: a3_q3.csv, collisions.csv, a3_q7.csv assignment 2 due Python scripts: sample_Bernoulli, sample_Binomial, sample_Geometric, sample_Uniform, sample_Exponential, sample_Normal, draw_eCDF 
Mar 11 (Th) [Lec 11] 
Confidence intervals

AoS 6.3.2, 7.1  
Mar 16 (Tu) [Lec 12] 
Parametric inference  1

AoS 6.3.1  6.3.2, 9.1  9.2  
Mar 18 (Th) [Lec 13] 
Parametric inference  2

AoS 9.3, 9.4, 9.6  assignment 3 due 
Mar 23 (Tu)  Midterm 1  Via Blackboard  
Mar 25 (Th) [Lec 14] 
Hypothesis testing  1

AoS 10  10.1 DSD 5.3.1 
assignment 4 out
Required data: acceleration, model, mpg, q8_a.csv, q8_b_X.csv, q8_b_Y.csv 
Mar 30 (Tu) [Lec 15] 
Hypothesis testing  2

AoS 10  10.1 DSD 5.3.1 

Apr 01 (Th)  Spring Brook Staycation  No class  
Apr 06 (Tu) [Lec 16] 
Hypothesis testing  3

AoS 10.10.2
DSD 5.3.2 

Apr 08 (Th) [Lec 17] 
Hypothesis testing  4

AoS 15.4, 10.2 DSD 5.3.3, 5.5 
assignment 5 out Required data: data_q4_1, data_q4_2, q6_X1, q6_Y1, q6_X2, q6_Y2 assignment 4 due 
Apr 13 (Tu) [Lec 18] 
Hypothesis testing  5

AoS 10.2, 10.5 DSD 5.5 

Apr 15 (Th) [Lec 19] 
Hypothesis testing  6

AoS 3.3, 10.3  10.4 DSD 2.3 

Apr 20 (Tu) [Lec 20] 
Bayesian inference  1

AoS 11.1  11.2, 11.6
DSD 5.6 
assignment 5 due 
Apr 22 (Th) [Lec 21] 
Bayesian inference  2

AoS 11.1  11.2, 11.6
DSD 5.6 
assignment 6 out Required data: q2_sigma3.dat, q2_sigma100.dat, q4.csv, q5.csv, q6.csv 
Apr 27 (Tu) [Lec 22] 
Regression  1

AoS 13.1, 13.3  13.4
DSD 9.1 

Apr 29 (Th) [Lec 23] 
Regression  2

AoS 13.5
DSD 9.1 

May 04 (Tu) [Lec 24] 
Time Series Analysis


May 06 (Th) [Lec 25] 
Project discussion  assignment 6 due  
May 17 (Mon)  Midterm 2  11:15am12:30pm  Via Blackboard 