Definition of the relational data model. Information structuring according to the Entity-Relationship model.

Functional dependencies and their importance for good database design. Normalization. Query languages and their underlying mathematics.

Transaction management. Overview of different models for data representation.

Laboratory assignments using experimental and commercial systems.

After passing the course, the student should be able to:

• explain the functions and structure of a database management system
• discuss the advantages and disadvantages of different database models
• model and structure data according to actual constraints
• explain the implications of different constraints on the database structure
• use a query language to formulate queries and describe the mathematical foundation for query languages
• write embedded SQL statements in a third generation programming language
• present independently acquired necessary knowledge orally and in writing.

All course information has been moved to Canvas. Please see Canvas for detailed information about e.g. learning activities, pedagogical info, etc.

No information inserted

Students at KTH with a permanent disability can get support during studies from Funka:

Funka - compensatory support for students with disabilities

A, B, C, D, E, FX, F

• HEM1 - Home assignments, 3.0 credits, Grading scale: A, B, C, D, E, FX, F
• LABA - Laboratory Assignments, 3.0 credits, Grading scale: A, B, C, D, E, FX, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

• All members of a group are responsible for the group's work.
• In any assessment, every student shall honestly disclose any help received and sources used.
• In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.