News:
01/13: Piazza course signup link
01/13: Welcome to CSE 544! We will have our first lecture in Engineering 145 on Jan 24th (Tuesday) at 9:45am
Date  Topic  Readings  Notes 

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

AoS 1.1  1.5 MHB 3.1  3.4 

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

AoS 1.6, 1.7 MHB 3.3  3.6 
assignment 1 out, due Feb 8 
Feb 02 (Th) [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 (Tu) [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 (Th) [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 
Feb 14 (Tu) [Lec 07] 
Random variables  4: Joint distributions & conditioning

AoS 2.5  2.8 MHB 3.10  3.13, 3.15 

Feb 16 (Th) [Lec 08] 
Probability Inequalities

AoS 5.3, 5.4 MHB 3.14.2, 5.2 

Feb 21 (Tu) [Lec 09] 
Markov chains

AoS 23.1  23.3 MHB 8.1  8.7 

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

AoS 6.1  6.2, 6.3.1  assignment 3 out, due March 5 Required data: a3_q2_data.csv, a3_q2_ecdf.ipynb, a3_q6_kde_estimate_bimodal.ipynb, a3_q5_parametric_bootstrapping.ipynb 
Feb 28 (Tu) [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 (Th) [Lec 12] 
Nonparametric inference  3

AoS 6.3.2, 7.1, 8  8.3  
Mar 07 (Tu) [Lec 13] 
Parametric inference  1

AoS 6.3.1  6.3.2, 9.1  9.2  
Mar 09 (Th)  Midterm 1  Inclass  
Mar 14 (Tu)  No class  Spring Break  
Mar 16 (Th)  No class  Spring Break  
Mar 21 (Tu) [Lec 14] 
Parametric inference  2

AoS 9.3, 9.4, 9.6  assignment 4 out, due April 3
Required data: iris dataset, q7_a.csv, q7_b_X.csv, q7_b_Y.csv 
Mar 23 (Th) [Lec 15] 
Hypothesis testing  1

AoS 10  10.1 DSD 5.3.1 

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

AoS 10  10.1 DSD 5.3.1 

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

AoS 10.10.2
DSD 5.3.2 

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

AoS 15.4, 10.2, 10.5 DSD 5.3.3, 5.5 
assignment 5 out, due April 17 Required data: a5_q5 
Apr 06 (Th) [Lec 19] 
Hypothesis testing  5

AoS 3.3, 10.3  10.4 DSD 2.3 

Apr 11 (Tu) [Lec 20] 
Bayesian inference  1

AoS 11.1  11.2, 11.6
DSD 5.6 
Example plots 
Apr 13 (Th) [Lec 21] 
Bayesian inference  2

AoS 11.1  11.2, 11.6
DSD 5.6 

Apr 18 (Tu) [Lec 22] 
Regression  1

AoS 13.1, 13.3  13.4
DSD 9.1 
assignment 6 out, due April 30 Required data: q2.dat, q4.dat, q5.csv, q6.csv 
Apr 20 (Th) [Lec 23] 
Normality Testing

Guest lecture: Anurag Dutt  Python scripts: qq_plot.ipynb, sw_std_normal.ipynb, sw_theoretical.ipynb 
Apr 25 (Tu) [Lec 24] 
Regression  2

AoS 13.5
DSD 9.1 

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


May 02 (Tu) [Lec 26] 
M2 review  Solved m2_s23_prac  
May 04 (Th)  Midterm 2  Inclass 