- Lecture 1 (self guided): Introduction To Class and Initial Setup
- Lecture 2 (01/16/2024): Introduction To Probability & Statistics: I
- Lecture 3 (01/18/2024): Introduction To Probability & Statistics: II
- Lecture 4 (01/23/2024): Introduction To Probability & Statistics: III
- Lecture 5 (01/25/2024): Classical/Frequentist Statistical Inference: I
- Lecture 6 (01/30/2024): Classical/Frequentist Statistical Inference: II
- Lecture 7 (02/01/2024): Classical/Frequentist Statistical Inference: III
- Lecture 8 (02/06/2024): Bayesian Statistical Inference: I
- Lecture 9 (02/08/2024): Bayesian Statistical Inference: II
- Lecture 10 (02/13/2024): Bayesian Statistical Inference: III
- Lecture 11 (02/15/2024): Bayesian Statistical Inference: IV
- Lecture 12 (02/20/2024): Bayesian Statistical Inference: V
- Lecture 13 (02/22/2024): Data Mining & Machine Learning: Intro to Scikit-Learn
- Lecture 14 (02/27/2024): Density Estimation & Clustering
- Lecture 15 (02/29/2024): Dimensional Reduction: I
- Lecture 16 (03/05/2024): Dimensional Reduction: II
- Lecture 17 (03/07/2024): Regression: I
- Lecture 1 (self guided)
- Lecture 2 (01/16/2024)
- Lecture 3 (01/18/2024)
- Lecture 4 (01/23/2024)
- Lecture 5 (01/25/2024)
- Lecture 6 (01/30/2024)
- Lecture 7 (02/01/2024)
- Lecture 8 (02/06/2024)
- Lecture 9 (02/08/2024)
- Lecture 10 (02/13/2024)
- Lecture 11 (02/15/2024)
- Lecture 12 (02/20/2024)
- Lecture 13 (02/22/2024)
- Lecture 14 (02/27/2024)
- Lecture 15 (02/29/2024)
- Lecture 16 (03/05/2024)
- Lecture 17 (03/07/2024)
- Homework 1 (due by class time on 01/16/2024) vu_astr8070_s24_hw1.ipynb
- Homework 2 (due 01/27/2024 @ 11.59pm CST) vu_astr8070_s24_hw2.ipynb
- Homework 3 (due 02/10/2024 @ 11.59pm CST) vu_astr8070_s24_hw3.ipynb
- Homework 4 (due 02/24/2024 @ 11.59pm CST) vu_astr8070_s24_hw4.ipynb
- Homework 5 (due 03/02/2022 @ 11.59pm CST) vu_astr8070_s24_hw5.ipynb