What: CompSci316 (Spring 2019), Duke University
When: TTh 3:05PM – 4:20PM
Where: Rubenstein Hall 151
Instructor: Sudeepa Roy
Graduate TAs: Zhengjie Miao
Undergraduate TAs: Elliott Bolzan, Sarah Cogan

We intend this course to give you a solid background in database systems as well as data management in general. Topics include data modeling, database design theory, data definition and manipulation languages, storage and indexing techniques, query processing and optimization, concurrency control and recovery, and database programming interfaces. Besides relational and semi-structured (e.g., XML and JSON) data, this course also samples a number of other topics related to data management, such as Web search, data warehousing, data mining, and “big data.” Programming projects are required.

Prerequisites: CompSci 201 or equivalent, or consent of the instructor. At the minimum, you will need CompSci 101, and familiarity (or ability to quickly become familiar) with the Unix command line (such as “Terminal” in Mac OS).



The lecture slides and material have been prepared by Prof. Jun Yang (and are used with some small updates in this class).

Special thanks to Google for their support of Google Cloud credits for this course!