News:
4/25: Assignemnt 5 out, due in CS 347 on 5/11 (Thursday).
Date  Topic  Readings  Notes 

Jan 23 (Mon)  Course introduction, class logistics  
Jan 25 (Wed)  Probability review  1 
AoS 1.1  1.6 MHB 3.1  3.5 

Jan 30 (Mon)  Probability review  2 
AoS 1.7 MHB 3.6, 3.10  3.11 

Feb 01 (Wed)  Random variables  1 
AoS 2.1  2.3 MHB 3.7  3.9 
assignment 1 out 
Feb 06 (Mon)  Random variables  2 
AoS 2.4 MHB 3.7  3.9, 3.14.1 
MATLAB scripts: draw_Bernoulli, draw_Binomial, draw_Geometric, sample_Bernoulli, sample_Binomial, sample_Geometric 
Feb 08 (Wed)  Random variables  3 
AoS 2.7 MHB 3.14.1, 3.10, 3.13 
MATLAB scripts: draw_Uniform, draw_Exponential, draw_Normal, sample_Uniform, sample_Exponential, sample_Normal 
Feb 13 (Mon)  Conditioning and Expectations 
AoS 2.8 MHB 3.11  3.12, 3.15 

Feb 15 (Wed)  Probability inequalities, Stochastic processes, Markov chains 
AoS 4.1  4.2, 23.1  23.3 MHB 3.14.2, 8.1  8.7 
assignment 1 due assignment 2 out 
Feb 20 (Mon)  Nonparametric inference  1  AoS 6.1  6.2, 7.1  7.2 
MATLAB scripts: draw_ecdf_random, draw_ecdf_normal, draw_ecdf_exponential 
Feb 22 (Wed)  Nonparametric inference  2  AoS 20.2 
MATLAB scripts: draw_histogram_random, draw_histogram_normal 
Feb 27 (Mon)  Nonparametric inference  3 Confidence intervals 
AoS 20.3, 6.3.2, 7.1 
MATLAB scripts: draw_kde 
Mar 01 (Wed)  Parametric inference  1  AoS 6.3.1  6.3.2, 9.1  9.2  assignment 2 due 
Mar 06 (Mon)  Midterm 1  
Mar 08 (Wed)  Parametric inference  2  AoS 9.3  9.4, 9.9  assignment 3 out Required data file for Q8. 
Mar 13 (Mon)  Spring break  No class  
Mar 15 (Wed)  Spring break  No class  
Mar 20 (Mon)  Hypothesis testing  1  AoS 10  10.1, 10.10.2  
Mar 22 (Wed)  Project discussion  1  Finalize project dataset. Meet in CS 220. 

Mar 27 (Mon)  Hypothesis testing  2  AoS 10.2, 10.5  assignment 3 due assignment 4 out Required data: q5_sigma3.dat, q5_sigma100.dat, q7_X.dat, q7_Y.dat. 
Mar 29 (Wed)  Bayesian inference  AoS 11.1  11.2, 11.7  
Apr 03 (Mon)  Statistical Models  
Apr 05 (Wed)  Project discussion  2  Finalize project deliverables.  
Apr 10 (Mon)  Midterm prep  No class. assignment 4 due 

Apr 12 (Wed)  Midterm 2  
Apr 17 (Mon)  Regression  
Apr 19 (Wed)  Time series analysis  
Apr 24 (Mon)  Project discussion  3  Midproject review.  
Apr 26 (Wed)  Classification  assignment 5 out.
Required data: q2.dat, q4.dat, q5.dat. 

May 01 (Mon)  Clustering  
May 03 (Wed)  Project prep  
May 08 (Mon)  Project final ppts  
May 10 (Wed)  Project final ppts 