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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 Guest Talk: Audrey Cheng
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.