Course Plan and Lecture Slides Notes

Course Plan

Introduction (1/22 Slides)
Unix and Python (1/24 Slides) (1/28 Slides)(1/24 Notebook)
Linear Algebra (1/29 Slides)(1/29 Notebook)
Numpy (1/31 Notebook)
Probability Theory (2/7 Notes) (2/12 Notes)(2/14 Notes) (2/7, 2/12, 2/14 Slides)
History of Particles (2/19)
Why HEP? (2/21 Slides) (2/26 Slides)
Feb 28- Particle Interactions. Lab 3 (LArTPC Handscan) Intro. ( 2/28 Notes, 2/28 Slides
March 5- Canceled due to power failure.
March 7- Lab Day (focus on Lab 3)
March 19- Particle Detection (Lab 2 Due) (3/19 Notes, [3/19 Slides],(https://www.dropbox.com/s/bbaquldo2wjtvpc/Lecture-14-Slides.pdf?dl=0), 3/19 Slides 2)
March 21- Test Statistics / Performance metrics (3/21 Notes, 3/21 Slides, 3/21 Slides 2)
March 26- Data Modeling. Lab 4 (SUSY with ScikitLearn) Intro. (Lab 3 Due)
March 28- Searching for SUSY or Higgs. HEP Problems and Problem Formulation. Project I Assigned.
April 2- HEP Fundamentals. (Lab 4 Due). Exam 1 Assigned.
April 4 - Deep Learning
April 9 - Deep Learning. Exam 1 Due. Lab 5 (Deep Learning) Intro.
April 11- Lab day.
April 16- Project I Due. Project II Assigned.
April 18- Feature Learning.
April 23- Recurrent Neural Nets. April 25- Generative Models. Lab 5 Due. Exam 2 Assigned. April 30- Adversarial Techniques May 2- Project Deep Dive. Exam 2 Due. May 4 - Project Deep Dive. Final: Project II Presentations