Course Plan and Lecture Slides Notes

Course Plan

• Introduction (1/22 Slides)
• Unix and Python (1/24 Slides)
• Linear Algebra
• Numpy
• Probability Theory
• Model Building
• Data Analysis
• History of Particles
• Why HEP?
• HEP Fundamentals
• Higgs Search
• Calorimetry and TPCs
• Deep Learning
• Deep and Convolutional Neutral Nets
• Recurrent Neutral Nets
• Generative Models