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The Frozen North

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Lectures and HW/Exam schedule

 

 
Fall 2016 Lectures Topics HW and Exams due:
September 30 Lecture 1 Probability concepts  I.  
October 2 Lecture 2 Probability concepts II.  
October 7 Lecture 3 Bayesian probability estimates  
October 9 Lecture 4 Probability calculus and central limit theorem  
October 14 Lecture 5 Null hypothesis tests I.
October 16 Lecture 6 Null hypothesis tests II. HW I. due
October 21 Lecture 7 Maximum likelihood method I.
October 23 Lecture 8 Maximum likelihood method II.  
October 28 Lecture 9 Maximum likelihood method III.
October 30 Lecture 10 Maximum likelihood method IV. HW II. due  
November 4 Lecture 11 Bootstrap I.
November 6 Lecture 12 Bootstrap II.  
November 11   Veterans Day Holiday
November 13 Lecture 13 Jackknife I.
November 18 Lecture 14 Jackknife II. (Jackknife/Bootstrap loose ends)
November 20 Lecture 15 Monte Carlo practicum
November 25 Lecture 16 Markov Chain Monte Carlo I.
November 27 Lecture 17 Markov Chain Monte Carlo II.
December 2 Lecture 18 Markov Chain Monte Carlo III.
December 4 Lecture 19 Final Project: machine learning
December 13 2:00p-5:00p Final project presentations