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	Introduction
2-3	Basics: Computer Organization, Operating systems, Storage
4	Basics of Cloud Computing
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	Guest Talk: Eugene Wu
8	Veterans Day Holiday
8	Guest Talk: Shreya Shankar
9	MLSYS: machine learning, Autodiff, Dataflow graphs, GPUs, ML frameworks
9	Guest Talk: Junchen Jiang
10	MLSYS: ML compilation, graph optimizaiton, ML parallelisms
11	MLSYS: ML parallelisms, LLMs, scaling law, training, serving
11	Final exam reviews
12	Final exam on Dec 10, 11:30am - 2:30pm.