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AID2E-Boot-Camp-2024 - Home
  • Welcome to AID2E Boot Camp 2024

Schedule

  • Schedule
  • Introduction to AID2E Boot Camp 2024

Introduction to git

  • 1. Brief course on git
    • 1.1. Version Control System (VCS)
    • 1.2. What is Git?
    • 1.3. Configuring your git
  • 2. Exercises on git
    • 2.1. Exercise 1: Basic Git Commands
    • 2.2. Exercise 2: Commits, push and branches
    • 2.3. Advanced exercises
    • 2.4. GitHub Actions and Workflow Tutorial

Introduction to High Performance Computing (HPC)

  • 3. Introduction to High Perforamance Computing
    • 3.1. High Performance Computing
    • 3.2. SSH into a Front-End Node Using Proxy Jump
    • 3.3. William & Mary Research Computing: File Systems Tutorial
    • 3.4. Introduction to SLURM

Using VS-Code

  • Installing Visual Studio Code

Day 2 - Introduction to Optimization

  • 4. Introduction to Optimization Theory
    • Optimization Theory
    • 4.1. Concepts in MOO
    • 4.2. Montecarlo based integration methods and applications

Day 3 - Multi Objective Evolutionary Algorithm

  • Introduction to MOEA
  • 5. MOEA of a test problem
  • 10. Toy tracker problem
  • 11. MOEA

Day 4 - Bayesian Optimization

  • 12. Bayesian Optimization
    • Introduction to Bayesian Optimization
    • 12.1. Bayesian Optimization
    • 12.2. MOBO

Day 5 - Introduction EIC software framework

  • 13. Introduction to EIC Software stack.
  • 14. Prerequisities
  • 15. EIC installation and geometry
  • Repository
  • Suggest edit
  • Open issue
  • .md

  • Introduction to MOEA
  • 5. MOEA of a test problem
  • 6. Defining the problem
  • 7. Initialize an Algorithm
  • 8. Define a Termination Criterion
  • 9. Analysis of Results
  • 10. Toy tracker problem
  • 11. MOEA

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4.2. Montecarlo based integration methods and applications

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5. MOEA of a test problem

By Karthik Suresh

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AID2E Boot Camp 2024