Embry-Riddle Aeronautical University
MA506 Probability and Statistical Inference
Fall 2022

Schedule

  • Event
    Date
    Description
    Course Material
  • Lecture
    08/29/2022
    Monday
    Lecture 1 Course Introduction
    [Notebook]
  • Lecture
    08/31/2022
    Wednesday
    Lecture 2 Python I
    [Notebook]

    Suggested Readings:

  • Lecture
    09/02/2022
    Friday
    Lecture 3 Python II
    [Notebook]

    Suggested Readings:

  • Lecture
    09/07/2022
    Wednesday
    Lecture 4 Probability
    [Notebook]

    Suggested Readings:

  • Lecture
    09/09/2022
    Friday
    Lecture 5 Statistical inference
    [Notebook]

    Suggested Readings:

  • Assignment
    09/12/2022
    Monday
    Homework 1 released!
    [Homework 1] [Solutions]
  • Lecture
    09/12/2022
    Monday
    Lecture 6 Regression I
    [Notebook]
  • Lecture
    09/14/2022
    Wednesday
    Lecture 7 Regression II
    [Notebook]
  • Lecture
    09/21/2022
    Wednesday
    Lecture 10 Regression diagnostics
    [Notebook]
  • Lecture
    09/23/2022
    Friday
    Lecture 11 Confidence Intervals 1
    [Notebook]
  • Due
    10/01/2022 23:59
    Saturday
    Homework 1 due
  • Lecture
    10/03/2022
    Monday
    Lecture 12 Confidence Intervals 2
    [Notebook]
  • Assignment
    10/05/2022
    Wednesday
    Homework 2 released!
    [Homework 2] [Solutions]
  • Lecture
    10/05/2022
    Wednesday
    Lecture 16 Lasso and Ridge Regression
    [Notebook]
  • Lecture
    10/07/2022
    Friday
    Lecture 17 Regression model comparison
    [Notebook]
  • Lecture
    10/10/2022
    Monday
    Lecture 18 t-test, p-value, F-test and Rsquared
    [Notebook]
  • Lecture
    10/12/2022
    Wednesday
    Lecture 19 Cross Validation and Generalized Cross Validation
    [Notebook]
  • Lecture
    10/14/2022
    Friday
    Lecture 20 K-Fold Cross Validation
    [Notebook]
  • Due
    10/19/2022 23:59
    Wednesday
    Homework 2 due
  • Assignment
    10/25/2022
    Tuesday
    Homework 3 released!
    [Homework 3]
  • Lecture
    10/26/2022
    Wednesday
    Lecture 21 Classification Introduction
    [Notebook]
  • Lecture
    10/28/2022
    Friday
    Lecture 22 Logistic Regression
    [Notebook]

    Suggested Readings:

  • Lecture
    10/31/2022
    Monday
    Lecture 23 Logistic Regression 2
    [Notebook]

    Suggested Readings:

  • Lecture
    11/02/2022
    Wednesday
    Lecture 24 Regularized Classification
    [Notebook]

    Suggested Readings:

  • Lecture
    11/04/2022
    Friday
    Lecture 25 Multiclass Probabilistic Classification
    [Notebook]

    Suggested Readings:

  • Due
    11/07/2022 23:59
    Monday
    Homework 3 due
  • Lecture
    11/14/2022
    Monday
    Lecture 29 Multinomial Logistic Regression
    [Notebook]
  • Lecture
    11/16/2022
    Wednesday
    Lecture 30 Classifier evaluation
    [Notebook]

    Suggested Readings:

  • Lecture
    11/18/2022
    Friday
    Lecture 31 ROC Curve
    [Notebook]