News:
01/03: Piazza course signup link
01/03: Welcome to CSE 544! We will have our first lecture via Zoom on Jan 24th at 8:15pm. Meeting link will be visible to enrolled students only under Blackboard; go to course and select "Zoom Meeting" tab on left.
Date  Topic  Readings  Notes 

Jan 24 (Mon) [Lec 01] 
Course introduction, class logistics  
Jan 26 (Wed) [Lec 02] 
Probability review  1

AoS 1.1  1.5 MHB 3.1  3.4 

Jan 31 (Mon) [Lec 03] 
Probability review  2

AoS 1.6, 1.7 MHB 3.3  3.6 
assignment 1 out, due Feb 9 
Feb 02 (Wed) [Lec 04] 
Random variables  1: Overview and Discrete RVs

AoS 2.1  2.3, 3.1  3.4 MHB 3.7  3.9 

Feb 07 (Mon) [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_Bernoulli, draw_Binomial, draw_Geometric, draw_Uniform, draw_Exponential, draw_Normal 
Feb 09 (Wed) [Lec 06] 
Random variables  3: Joint distributions & conditioning

AoS 2.5  2.8 MHB 3.10  3.13, 3.15 
assignment 2 out, due Feb 23 assignment 1 due 
Feb 14 (Mon) [Lec 07] 
Random variables  4: Joint distributions & conditioning

AoS 2.5  2.8 MHB 3.10  3.13, 3.15 

Feb 16 (Wed) [Lec 08] 
Probability Inequalities

AoS 5.3, 5.4 MHB 3.14.2, 5.2 

Feb 21 (Mon) [Lec 09] 
Markov chains

AoS 23.1  23.3 MHB 8.1  8.7 

Feb 23 (Wed) [Lec 10] 
Nonparametric inference  1

AoS 6.1  6.2, 6.3.1  assignment 3 out, due March 4 Required data: a3_q2.csv, a3_q4.csv, a3_q8.csv assignment 2 due 
Feb 28 (Mon) [Lec 11] 
Nonparametric inference  2

AoS 7.1  7.2 
Python scripts: sample_Bernoulli, sample_Binomial, sample_Geometric, sample_Uniform, sample_Exponential, sample_Normal, draw_eCDF 
Mar 02 (Wed) [Lec 12] 
Confidence intervals

AoS 6.3.2, 7.1  
Mar 07 (Mon) [Lec 13] 
Parametric inference  1

AoS 6.3.1  6.3.2, 9.1  9.2  
Mar 09 (Wed)  Midterm 1  Via Blackboard  
Mar 14 (Mon)  No class  Spring Break  
Mar 16 (Wed)  No class  Spring Break  
Mar 21 (Mon) [Lec 14] 
Parametric inference  2

AoS 9.3, 9.4, 9.6  assignment 4 out
Required data: acceleration, model, mpg, q8_a.csv, q8_b_X.csv, q8_b_Y.csv 
Mar 23 (Wed) [Lec 15] 
Hypothesis testing  1

AoS 10  10.1 DSD 5.3.1 

Mar 28 (Mon) [Lec 16] 
Hypothesis testing  2

AoS 10  10.1 DSD 5.3.1 

Mar 30 (Wed) [Lec 17] 
Hypothesis testing  3

AoS 10.10.2
DSD 5.3.2 

Apr 04 (Mon) [Lec 18] 
Hypothesis testing  4

AoS 15.4, 10.2 DSD 5.3.3, 5.5 
assignment 5 out Required data: a5_q6 assignment 4 due 
Apr 06 (Wed) [Lec 19] 
Hypothesis testing  5

AoS 10.2, 10.5 DSD 5.5 

Apr 11 (Mon) [Lec 20] 
Hypothesis testing  6

AoS 3.3, 10.3  10.4 DSD 2.3 

Apr 13 (Wed) [Lec 21] 
Bayesian inference  1

AoS 11.1  11.2, 11.6
DSD 5.6 

Apr 18 (Mon) [Lec 22] 
Bayesian inference  2

AoS 11.1  11.2, 11.6
DSD 5.6 
assignment 6 out Required data: q2.dat, q4.csv, q5.csv, q6.csv assignment 5 due 
Apr 20 (Wed) [Lec 23] 
Regression  1

AoS 13.1, 13.3  13.4
DSD 9.1 

Apr 25 (Mon) [Lec 24] 
Regression  2

AoS 13.5
DSD 9.1 

Apr 27 (Wed) [Lec 25] 
Time Series Analysis


May 02 (Mon) [Lec 26] 
M2 review, Project discussion  
May 04 (Wed)  Midterm 2  Via Blackboard  
May 17 (Tues)  Project due  By 8pm (per final exam schedule)  Via Blackboard 