Course materials for: The Computer Science of Data Science. Course content is licensed CC-BY-SA.

• Syllabus [src | pdf]
• Assignment 1 [src | pdf]

• Lecture 1 - Introduction [src | pdf]
• Lecture 2 - Overview of HPC and the Cloud [src | pdf]
• Lecture 3 - Introduction to Remote Computing [src | pdf]
• Lecture 4 - Introduction to Containers [src | pdf]
  • Handout 1 - Docker Handout [src | pdf]
• Lecture 5 - Introduction to ISAAC [src | pdf]
• Lecture 6 - MPI and Singularity [src | pdf]
• Assignment 2 [src | pdf]

• Lecture 7 - Introduction to Performance Optimization [src | pdf]
• Lecture 8 - High Level Language Optimizations [src | pdf]
• Lecture 9 - Computational Linear Algebra Part 1 [src | pdf]
• Lecture 10 - Computational Linear Algebra Part 2 [src | pdf]
• Lecture 11 - GPGPU (The Easy Parts) Part 1 [src | pdf]
• Lecture 12 - GPGPU (The Easy Parts) Part 2 [src | pdf]
• Lecture 13 - Utilizing Compiled Code [src | pdf]
• Lecture 14 - I/O and Out-of-Core Methods [src | pdf]