Lecture Schedule

This schedule might change slightly during the quarter. The dates of the midterm and final exams, 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.

Week	Topic	References
1-2	Basics of Machine Resources: Computer Organization	Ch. 1, 2.1-2.3, 2.12, 4.1, and 5.1-5.5 of CompOrg Book
2-3	Basics of Machine Resources: Operating Systems	Ch. 2, 4.1-4.2, 6, 7, 13, 14.1, 18.1, 21, 22, 26, 36, 37, 39, and 40.1-40.2 of Comet Book
4	Basics of Cloud Computing	-
4-5	Parallel and Scalable Data Processing: Parallelism Basics	Ch. 9.4, 12.2, 14.1.1, 14.6, 22.1-22.3, 22.4.1, 22.8 of Cow Book; Ch. 5, 6.1, 6.3, 6.4 of MLSys Book
5	Review for midterm in discussion section, 05/09/2023
6	Midterm on 5/11/2023 in class
6-7	Parallel and Scalable Data Processing: Scalable Data Access
7	Industry Guest Talk: Jules Damji from Anyscale Discussing Ray Core on 5/18/2023
7-8	Parallel and Scalable Data Processing: Data Parallelism
8	Industry Guest Talk: Venkatesh Ravichandran from Alexa AI at Amazon Discussing Language Data Organization on 5/25/2023
9-10	Dataflow Systems	Ch. 2.2 of MLSys Book
10	ML Model Building Systems	Ch. 8-8.4 of MLSys Book
10	Final exam review in discussion section, 06/06/2023
11	Final Exam on 6/15/2023	-