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Course Plan and Lecture Slides Notes
afarbin edited this page Apr 13, 2018
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- 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, 3/19 Slides 2)
- March 21- Test Statistics / Performance metrics (3/21 Notes, 3/21 Slides, 3/21 Slides 2)
- March 26- HEP Data Analysis / Lab 4 Intro (3/26 Slides)
- March 28- Machine Learning Techniques (3/28 Notes) (3/28 Slides)
- April 2- Deep Learning (4/2 Slides)
- April 4 - Deep Learning Tour + Projects (4/3 Slides)
- April 9 - Practicing Deep Learning (Keras) (4/9 Slides)
- April 11- Recurrent, Generative, and Adversarial NNs. (4/11 Slides)
- 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