ASTR 3890 - Selected Topics: Data Science for Large Astronomical Surveys (Spring 2022), Vanderbilt University

Nina Hernitschek

Syllabus

Schedule

• Lecture 1 (01/24/2022): Introduction & Introduction to Python
• Lecture 2 (01/31/2022): Astronomical Survey Data
• Lecture 3 (02/07/2022): Introduction to Probability & Statistics: I
• Lecture 4 (02/14/2022): Introduction To Probability & Statistics: II
• Lecture 5 (02/21/2022): Classical/Frequentist Statistical Inference
• Lecture 6 (02/28/2022): Bayesian Statistical Inference: I
• Spring Break (03/05/2022 - 03/13/2022)
• Lecture 7 (03/14/2022): Bayesian Statistical Inference: II
• Lecture 8 (03/21/2022): Time Series Analysis: I
• Lecture 9 (03/28/2022): Time Series Analysis: II
• Lecture 10 (04/04/2022): Data Mining & Machine Learning: Intro to Scikit-Learn
• Lecture 11 (04/11/2022): Dimensionality Reduction & Density Estimation
• Lecture 12 (04/18/2022): Clustering & Unsupervised Classification
• Lecture 13 (04/25/2022): Supervised Classification

Assignments

• Homework 1 (due 01/31/2022 @ 11.00am CST) homework_1.ipynb
• Homework 2 (due 02/07/2022 @ 11.00am CST) homework_2.ipynb
• Homework 3 (due 02/14/2022 @ 11.00am CST) homework_3.ipynb
• Homework 4 (due 02/31/2022 @ 11.00am CST) homework_4.ipynb
• Homework 5 (due 02/07/2022 @ 11.00am CST) homework_5.ipynb
• Homework 6 (due 03/14/2022 @ 11.00am CST) homework_6.ipynb
• Homework 7 (due 03/21/2022 @ 11.00am CST) homework_7.ipynb
• Homework 8 (due 03/28/2022 @ 11.00am CST) homework_8.ipynb
• Homework 9 (due 04/04/2022 @ 11.00am CST) homework_9.ipynb
• Homework 10 (due 04/11/2022 @ 11.00am CST) homework_10.ipynb
• Homework 11 (due 18/11/2022 @ 11.00am CST) homework_11.ipynb
• Homework 12 (due 25/11/2022 @ 11.00am CST) homework_12.ipynb