Online & Worldwide meeting:

  • Live lessons & Q&A sessions via Zoom in principle (but possibly some pre-recorded lectures in case of an emergency).
  • Lecture recordings will be provided at the end of each day’s curriculum.
  • Computational lab tutorials to complement each lesson and work at your own pace, and
  • Opportunities to ask further questions to faculty, TAs and other students via Slack before/after each lesson.

Logistics

Live instruction will be confined to occur between 10am EDT and 4pm EDT. Each day’s lessons will be accompanied by lab tutorials (e.g., Jupyter or Google Colab notebooks). Students are strongly encouraged to work through them either in the afternoon/evening following the lesson or during the morning before the next day’s live lessons begins. Students can ask questions about lessons and/or lab tutorials via Slack. Students are encouraged to engage with faculty, TAs and other students via Slack as they work on the lab tutorials.

 

Worldwide Participation

We anticipate students will be spread across many timezones. Live lessons will be recorded and made available to registered participants for at least 60 days.

 

The times below are based on Eastern Daylight saving Time (EDT = UTC-04:00).
Specific times and topics subject to change.
Check back closer to the summer school for final times and curriculum.

 

June 6, 2022 (Monday)
10:00 a.m. – 10:10 a.m. Welcome address (Jogesh Babu)
10:10 a.m. – 10:50 a.m. Astrostatistics: Past, Present, and Future (Eric Feigelson).
10-minute Break
11:00 a.m. – 1:30 p.m. Probability (David Hunter) with 10-minute in-class break. 
20-minute Break

1:50 p.m. – 2:10 p.m.

2:10 p.m. – 3:10 p.m.

10-minute Break

3:20 p.m. – 3:30 p.m.

3:30 p.m. – 4:00 p.m.

 

Live Q&A / Discussion with David Hunter

Inference I (Hyungsuk Tak). 

 

Live Q&A / Discussion with Hyungsuk Tak

R session for Astronomy I (Eric Feigelson) LAB.

 

Datasets: COMBO17_lowz.dat, SDSS_QSO.dat,
SDSS_stars.csv, SDSS_test.csv, SDSS_wd.csv,
GX.dat, Kepler1.dat, Kepler2.dat, NGC4472_profile.dat

June 7, 2022 (Tuesday)
10:00 a.m. – 11:35 a.m. Inference II (Hyungsuk Tak)
15-minute Break
11:50 a.m. – 12:00 p.m. Live Q&A / Discussion with Hyungsuk Tak
12:00 p.m. – 1:40 p.m. Regression (Ashley Villar)
15-minute Break
1:55 p.m. – 2:10 p.m. Live Q&A / Discussion with Ashley Villar

2:10 p.m. – 3:10 p.m.

10-minute Break

3:20 p.m. – 3:30 p.m.

3:30 p.m. – 4:00 p.m

Model Fitting & Bootstrap (G. Jogesh Babu)

 

Live Q&A / Discussion with G. Jogesh Babu

R session for Astronomy II (Eric Feigelson) LAB 

 

June 8, 2022 (Wednesday)
10:00 a.m. – 11:55 a.m. Supervised and Unsupervised Learning (Ashley Villar) with 10-minute in-class break.
20-minute Break
12:15 p.m. – 12:30 p.m. Live Q&A / Discussion with Ashley Villar
12:30 p.m. – 3:00 p.m. Bayesian Inference (Tom Loredo) with 10-minute in-class break. 
20-minute Break
3:20 p.m. – 3:30 p.m. Live Q&A / Discussion with Tom Loredo
3:30 p.m. – 4:00 p.m.

R session for Astronomy III (Eric Feigelson) LAB

  

June 9, 2022 (Thursday)
10:00 a.m. – 11:40 a.m. Markov Chain Monte Carlo (Murali Haran) with 10-minute in-class break. 
20-minute Break
12:00 p.m. – 12:10 p.m. Live Q&A / Discussion with Murali Haran
30-minute Break
12:40 p.m. – 2:00 p.m. Spatial Models: A Quick Overview (Murali Haran). 
10-minute Break  
2:10 p.m. – 2:20 p.m. Live Q&A / Discussion with Murali Haran
2:30 p.m. – 3:40 p.m.  Time Series Analysis (Eric Feigelson). 
10-minute Break  
3:50 p.m. – 4:00 p.m. Live Q&A / Discussion with Eric Feigelson
4:00 p.m. – 4:30 p.m. R session for Astronomy IV (Eric Feigelson) LAB 

June 10, 2022 (Friday)
10:00 a.m. – 12:50 p.m. Deep learning neural network (David Banks) with 20-min in-class break.
20-minute Break  
1:10 p.m. – 1:30 p.m. Live Q&A / Discussion with David Banks
1:30 p.m. – 3:10 p.m. Machine learning with random forest (Peter Freeman) with 10-min in-class break.
10-minute Break
3:20 p.m. – 3:30 p.m. Live Q&A / Discussion with Peter Freeman
3:30 p.m. – 4:00 p.m. R session for Astronomy V (Eric Feigelson) LAB.

 

Instructors