Schedule

Contents

Schedule#

Week 1#

Time

Monday

Tuesday

Wednesday

Thursday

Friday

9:30am-11:00am

Introduction to AID2E and this boot camp

Optimization theory

Evolutionary Theory

Bayesian Regression

Introduction to eic (ePIC software stack) — eic-shell

11:00am-12:00pm

Introduction to git

Multi Objective optimization

Optimization using EA

Bayesian Optimization

epic detector geometry

2:00pm-3:00pm

Introduction to slurm and bash scripting

Methods of MC integration

Hands on Multi Objective Evolutionary Algorithm

Hands on multi objective Bayesian Optimization using BoTorch and Ax

eic-recon

3:00pm-4:30pm

Hands on running hyper parameter optimization of a CNN on MNIST dataset

edm4eic data model

How to debug and find help.

Week 2#

Time

Monday

Tuesday

Wednesday

Thursday

Friday

9:30am-11:00am

Project Work

Project Work

Project Work

Project Work

Project Work

11:00am-12:00pm

Project Work

Project Work

Project Work

Project Work

Project Work

2:00pm-3:00pm

Project Work

Project Work

Project Work

Project Work

Project Work

3:00pm-4:30pm

Project Work

Project Work

Project Work

Project Work

Project Work