Database Modeling and Theory Fundamentals
Master database design principles with Stanford's course covering relational algebra, dependency theory, and UML modeling for robust database systems.
Master database design principles with Stanford's course covering relational algebra, dependency theory, and UML modeling for robust database systems.
Delve into the theoretical foundations and design principles of database systems with Stanford's comprehensive course. This program explores the formal underpinnings of relational databases, covering essential concepts in relational algebra, dependency theory, and the Unified Modeling Language (UML). Students learn the algebraic foundations of SQL, master database normalization principles, and understand how to translate UML diagrams into effective relational schemas. Part of Stanford's renowned database series, this course provides crucial knowledge for developing well-structured, efficient database systems.
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What you'll learn
Master relational algebra and its connection to SQL queries
Understand dependency theory and database normalization principles
Apply UML modeling techniques to database design
Translate UML diagrams into effective relational schemas
Implement proper database design methodologies
Evaluate and optimize database schemas using formal theory
Skills you'll gain
This course includes:
PreRecorded video
Quizzes, Interactive exercises, Graded assignments
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Limited Access access
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Module Description
This course focuses on the theoretical foundations and modeling aspects of database systems. It covers three main areas: relational algebra as the formal foundation of SQL, dependency theory and normal forms for optimal database design, and UML data modeling with practical applications in schema design. The curriculum emphasizes understanding the principles behind effective database design and implementation, providing students with the theoretical knowledge needed to create robust database systems.
Fee Structure
Instructor
5 Courses
A Pioneering Leader in Computer Science and Engineering Education
Jennifer Widom, born in 1960/1961, has shaped the landscape of computer science through her groundbreaking work in database systems and data management. As the Frederick Emmons Terman Dean of Stanford's School of Engineering since 2017, she brings a unique blend of musical training and technical expertise, having earned her BS in trumpet performance before pursuing computer science. Her career trajectory includes significant research at IBM Almaden Research Center before joining Stanford in 1993, where she has served in various leadership roles including Computer Science Department Chair and Senior Associate Dean. Widom's contributions to semi-structured data management and database systems have earned her numerous accolades, including ACM Fellowship, membership in the National Academy of Engineering, and the prestigious ACM SIGMOD Edgar F. Codd Innovations Award. She pioneered one of Stanford's first MOOCs in 2011, reaching over 100,000 students worldwide, and has co-authored four influential database textbooks. Beyond her academic achievements, she maintains strong family ties in academia - her father Harold Widom is a mathematician, and she is married to Alex Aiken, former chair of Stanford's computer science department, with whom she has two children
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