News:
01/29: Schedule updated.
01/01: Piazza signup link.
01/01: Our first lecture will be on Jan 28th (Mon) at 4pm in Frey 217.
Date  Topic  Readings  Notes 

Jan 28 (Mon) [Lec 01] 
Course introduction, class logistics  
Jan 30 (Wed) [Lec 02] 
Probability review  1

AoS 1.1  1.5 MHB 3.1  3.4 

Feb 04 (Mon) [Lec 03] 
Probability review  2

AoS 1.6, 1.7 MHB 3.3  3.6 
assignment 1 out 
Feb 06 (Wed) [Lec 04] 
Random variables  1

AoS 2.1  2.3, 3.1  3.4 MHB 3.7  3.9 
Python scripts: draw_Bernoulli, draw_Binomial, draw_Geometric 
Feb 11 (Mon) [Lec 05] 
Random variables  2

AoS 2.4, 3.1  3.4 MHB 3.7  3.9, 3.14.1 
Python scripts: draw_Uniform, draw_Exponential, draw_Normal 
Feb 13 (Wed) [Lec 06] 
Random variables  3

AoS 2.5  2.7 MHB 3.10, 3.13 
assignment 1 due assignment 2 out 
Feb 18 (Mon)  No class  Instructor traveling  
Feb 20 (Wed) [Lec 07] 
Probability inequalities

AoS 4.1  4.2, 5.3  5.4 MHB 3.14.2, 5.2 

Feb 25 (Mon) [Lec 08] 
Nonparametric inference  1

AoS 6.1, 6.2, 6.3.1 
Python scripts: sample_Bernoulli, sample_Binomial, sample_Geometric assignment 2 due assignment 3 out Required weather.dat dataset for A3. 
Feb 27 (Wed) [Lec 09] 
Nonparametric inference  2

AoS 6.3.1, 7.1  7.2 
Python scripts: sample_Uniform, sample_Exponential, sample_Normal, eCDF 
Mar 04 (Mon) [Lec 10] 
Confidence intervals

AoS 6.3.2, 7.1  
Mar 06 (Wed) [Lec 11] 
Parametric inference  1

AoS 6.3.1  6.3.2, 9.1  9.2  assignment 3 due 
Mar 11 (Mon) 
Midterm 1 review  
Mar 13 (Wed)  Midterm 1  
Mar 25 (Mon) [Lec 12] 
Parametric inference  2

AoS 9.1  9.2  
Mar 27 (Wed) [Lec 13] 
Parametric inference  3

AoS 9.3  9.4, 9.6  assignment 4 out Required datasets: q3.dat, acceleration, model, mpg. 
Apr 01 (Mon) [Lec 14] 
Hypothesis testing  1

AoS 10  10.1 DSD 5.3  5.3.1 

Apr 03 (Wed) [Lec 15] 
Hypothesis testing  2

AoS 10  10.1  
Apr 08 (Mon) [Lec 16] 
Hypothesis testing  3

AoS 10.10.2, 15.4 DSD 5.3.2  5.3.3 

Apr 10 (Wed) [Lec 17] 
Hypothesis testing  4

AoS 10.2, 10.5 DSD 5.5 
assignment 4 due assignment 5 out 
Apr 15 (Mon) [Lec 18] 
Hypothesis testing  5

AoS 3.3, 10.3  10.4 DSD 2.3 

Apr 17 (Wed) [Lec 19] 
Bayesian inference  1

AoS 11.1  11.2 DSD 5.6 

Apr 22 (Mon) [Lec 20] 
Bayesian inference  2

AoS 11.1  11.2 DSD 5.6 

Apr 24 (Wed) [Lec 21] 
Regression  1

AoS 13.1, 13.3  13.4
DSD 9.1 
assignment 5 due assignment 6 out Required datasets: q2_sigma3.dat, q2_sigma100.dat, q5.dat. 
Apr 29 (Mon) [Lec 22] 
Regression  2

AoS 13.5
DSD 9.1 

May 01 (Wed) [Lec 23] 
Time Series Analysis


May 06 (Mon)  Midterm 2 review  Assignment 6 due  
May 08 (Wed)  Midterm 2 