Database Systems

Description from DukeHub

Principles and techniques for making intelligent use of the massive amounts of data generated in commerce, industry, science, and society. Topics include basic concepts in databases (SQL, relational algebra), indexing and hashing, query processing and optimization, transactions (concurrency control and recovery), parallel and distributed data processing, and selected advanced topics (e.g., Datalog, database theory, data cleaning and integration, stream processing, vector databases). Recommended prerequisites: Computer Science 201; Computer Science 210 or 250 or an introductory database course; or equivalent of the preceding courses or consent of instructor.

Skills

• programmingdescription: "sql" and 2 more

AI-resilient: 0 of 5 0/5

• No: Physical, lab or field work
• No: Live work with people
• No: Judgment someone is accountable for
• No: A craft you practice with your hands or body
• No: Small, in-person format

The checks lean on Microsoft Research, Working with AI (2025), which found generative AI applies least to physical work and hands-on work with people. A signal, not a promise. How the score works

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