Day 4 - Introduction to Unix, HPC, and Linear Algebra
Working in a high-performance computing environment and applying linear algebra approaches for data analysis.
Topics
Basic Linear Algebra with R and Applications
- Basic linear algebra operations in R
- Principal Components Analysis and other dimensionality reduction methods
Working with UNIX
- Common shell commands
Working with a High-Performance Compute Cluster
- Introduction to Orchestra
- Submitting jobs
- Monitoring jobs
Materials
Notes Exercises SolutionsYou need to be logged into your GitHub account to be able to access materials hosted in the private class repository.
Logistics
Date 18 August 2016
Time 10 am to 12 pm (Instruction) / 1 pm to 2 pm (Intro to Exercises and Q&A) / 4 pm to 5 pm (Q&A)
Room Countway 403 (morning) and Countway 506 - Minot Room (afternoon)
Teaching Staff
Radhika Khetani (Guest Lecturer)
Peter Kharchenko (Course Director)
Chamith Fonseka (Teaching Assistant)