The nineteenth session of the LSSTC DSFP was hosted by Drexel University in September 2023 and the curriculum covered Machine Learning.
The guest instructors for the S19 were:
Viviana Acquaviva
John Wu
Niharika Sravan
Vicki Toy-Edens [:octocat:]
Additional lectures were given by the DSFP leadership team:
Bryan Scott
Adam Miller
Lucianne Walkowicz
"The future ain't what it used to be."
~ Yogi Berra
Two orientation lectures are provided asynchronously, these are:
- A Brief Introduction to git/GitHub; B Scott
- Building Visualizations Via Principles of Design ; A Miller
Saturday, Sep 9, 2023
- 10:30 AM - 11:00 AM Registration & Introductions,
- 11:00 AM - 11:30 AM Incoming Student Survey
- 11:30 AM - 12:15 PM Introduction to the Vera C Rubin Observatory and Legacy Survey of Space & Time; L. Walkowicz
- 12:15 PM - 12:30 PM Goals of the DSFP; B. Scott
- 12:30 PM - 01:30 PM LUNCH (provided) & Discussion of the Code of Conduct; B. Scott
- 01:30 PM - 02:45 PM Probability and Data Solutions; A. Miller
- 02:45 PM - 04:00 PM Introduction to Bayesian Statistics Solutions; B. Scott
- 04:00 PM - ??? Break
"42."
~ Deep Thought on the answer to life, the universe, and everything (The Hitchhiker's Guide to the Galaxy).
Sunday, Sep 10, 2023
- 09:00 AM – 09:30 AM o Introduction of Cohort 7 and the new instructors
- 09:30 AM – 09:45 AM o Introduction to Hack Sessions
- 09:45 AM – 10:30 AM o Lecture I – Introduction to Machine Learning; B. Scott
- 10:30 AM – 11:00 AM o BREAK
- 11:00 AM – 12:15 PM o Problem | Solutions I – Introduction to ML; B. Scott
- 12:15 PM – 01:45 PM o LUNCH
- 01:45 PM – 02:30 PM o Lecture II – Introduction to Unsupervised Learning; A. Miller
- 02:30 PM – 03:30 PM o Problem II – Introduction to Unsupervised Learning; A. Miller
- 03:30 PM – 03:40 PM o BREAK
- 04:00 PM – 05:00 PM o Lecture III – Introduction to Dimensionality Reduction; B. Scott
- 05:00 PM - 06:00 PM o Problem | Solutions III – Introduction to Dimensionality Reduction; B. Scott
"I have an infinite capacity for knowledge, and even I'm not sure what is going on outside..."
~GladOS (Portal)
Monday, Sep 11, 2023
- 09:00 AM – 10:30 AM o Lecture IV – Introduction to Supervised Machine Learning; V. Acquaviva
- 10:30 AM – 11:00 AM o BREAK
- 11:00 AM – 12:00 PM o Problem – Introduction to Supervised Machine Learning; V. Acquaviva
- 12:00 PM - 01:30 PM o LUNCH
- 01:30 PM – 02:30 PM o Lecture V – Tree & Ensemble Methods; V. Acquaviva
- 02:30 PM – 03:30 PM o Problem: Tree & Ensemble Methods; V. Acquaviva
- 03:30 PM - 04:00 PM o BREAK
- 04:00 PM - 05:30 PM o Lecture VI – Building Perceptrons for Classification; A. Miller
- 06:00 PM - ??:?? PM o Group dinner
"I am capable of distinguishing over one hundred and fifty simultaneous compositions. But in order to analyze the aesthetics, I try to keep it to ten or less."
~ Lt. Cmdr. Data (Star Trek: The Next Generation)
Tuesday, Sep 12, 2023
- 09:00 AM - 10:00 AM o Lecture VII – Convolutional Neural Networks, J. Wu
- 10:00 AM - 10:30 AM o BREAK
- 10:30 AM - 12:00 PM o Problem: Convolutional Neural Networks J. Wu
- 12:00 PM - ??:?? PM o BREAK
"It seems you feel our work is not of benefit to the public."
~ Rachael (Blade Runner)
Wednesday, Sep 13, 2023
- 09:00 AM – 10:00 AM o Lecture VIII – Graph Neural Networks; J. Wu
- 10:00 AM – 10:30 AM o BREAK
- 10:30 AM – 12:00 PM o Problem: Graph Neural Networks; J. Wu
- 12:00 PM – 01:30 PM o LUNCH
- 01:30 PM – 02:30 PM o Lecture IX – Introduction to Reinforcement Learning and The Upper Confidence Bound; A. Sravan
- 02:30 PM – 04:00 PM o Problem: The Upper Confidence Bound; A. Sravan
- 04:00 PM – 04:30 PM o BREAK
- 04:30 PM – 05:00 PM o Hack Pitch Session
"The 9000 series is the most reliable computer ever made. No 9000 computer has ever made a mistake or distorted information. We are all, by any practical definition of the words, foolproof and incapable of error."
~ HAL 9000 (2001: A Space Odyssey)
Thursday, Sep 14, 2023
- 9:00 AM - 10:00 AM o Lecture X – Thompson Sampling; A. Sravan
- 09:45 AM – 10:45 AM o Problem: Thompson Sampling; A. Sravan
- 10:45 AM – 11:00 AM o BREAK
- 11:00 AM – 12:00 PM o Lecture XI – Professional Development: CV Workshop; V. Toy-Edens
- 12:00 PM – 01:00 PM o LUNCH
- 01:00 PM – 04:30 PM o Hack Session;
- 04:30 PM – 05:00 PM o Hack tag–up & Meeting wrap up