Tentative Lecture Schedule
- This schedule might change slightly during the quarter. The dates of the exam, however, will not change.
- Slides will be uploaded to the course home page, typically before each lecture. The lectures themselves might deviate significantly from the textbooks. Thus, it is necessary to attend a lecture live or view its video asynchronously to keep up with course content.
- The industry guest lectures are not included in the syllabus for the exams. But they will be the focus of the extra credit activities.
- Some topics may take a few weeks to cover.
Week | Topic |
---|---|
1-2 | Basics: Computer Organization, Operating systems, Storage |
3 | Basics of Cloud Computing |
4 | Cloud Storage |
5 | Parallel and Scalable Data Processing: Parallelism Basics |
6 | Big Data: Data encoding, query languages, etc. |
7 | Big Data: MapReduce, Spark, batch and streaming processing |
7-8 | Guest Talk: TBD |
8 | MLSYS: machine learning, Autodiff, Dataflow graphs, GPUs, ML frameworks |
8 | Guest Talk: TBD |
9 | MLSYS: ML compilation, graph optimizaiton, ML parallelisms |
9 | Guest Talk: TBD |
10 | MLSYS: ML parallelisms, LLMs, scaling law, training, serving |
10 | Final exam reviews |
11 | Final exam on Dec 10, 11:30am - 2:30pm. |