CSEE W4121
COMPUTER SYSTEMS FOR DATA SCIENCE
An introduction to computer architecture and distributed systems with an emphasis on warehouse scale computing systems. Topics will include fundamental tradeoffs in computer systems, hardware and software techniques for exploiting instruction-level parallelism, data-level parallelism and task level parallelism, scheduling, caching, prefetching, network and memory architecture, latency and throughput optimizations, specialization, and an introduction to programming data center computers
Prerequisites & course information
Prerequisites: Background in Computer System Organization and good working knowledge of C/C++. CSOR W4246 Algorithms for Data Science, STAT W4203 Probability Theory, or equivalent as approved by faculty advisor.
Sources
Catalogue variants
- COMPUTER SYSTEMS FOR DATA SCIENCE · 3.00 points · University catalogue