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DD228V Database Techniques 7.5 credits

Information per course offering

Course offerings are missing for current or upcoming semesters.

Course syllabus as PDF

Please note: all information from the Course syllabus is available on this page in an accessible format.

Course syllabus DD228V (Autumn 2008–)
Headings with content from the Course syllabus DD228V (Autumn 2008–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

Definition of the relation model. Information structuring according to the "Entity Relationship";-model.

Functional dependencies and what they mean for good database design. Normalization. Query languages and the mathematics behind them. Methods for storage and retrieval. Transaction handling. Assertion of security and integrity. Fourth generation development tools for design of database systems. Development of information systems. Overview of different models for data representation. Laboratory assignments using experimental and commercial systems.

Intended learning outcomes

The students will, upon completion of the course, be able to model and implement a database. Further on they will have written an application program operating a database.This implies that the students should:

  • understand the functions and architecture of a database system
  • be able to discuss advantages and disadvantages with different database models
  • be able to model and structure data according to actual constraints and be able to discuss advantages and disadvantages with different implementations of a database and its constraints
  • understand how to choose index structures and decide which index structures are usable in different situations
  • be able to use a query language to formulate queries and also to describe the mathematical foundations for data manipulation languages
  • understand and be able to explain the implications of different constraints on the database
  • fully understand the mechanisms for optimization of queries
  • fully understand the principles of concurrency and recovery handling
  • fully understand the solutions to security problems
  • be able to write embedded SQL in a 3rd generations programming language

Literature and preparations

Specific prerequisites

Single course students: 90 university credits including 45 university credits in Mathematics or Information Technology. Swedish B, or equivalent and English A or equivalent.

Literature

To be announced at course start and at the course site.

Examination and completion

Grading scale

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

Examination

  • TEN1 - Examination, 4.5 credits, grading scale: A, B, C, D, E, FX, F
  • LAB1 - Laboratory Work, 3.0 credits, grading scale: P, 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.

If the course is discontinued, students may request to be examined during the following two academic years.

Other requirements for final grade

The students participating in the course are expected to take part in all activities on the course with a particular emphasis on the exercises and laboratories.In addition the course focuses on training:

  • acquiring knowledge
  • training oral and written presentation

Examiner

No information inserted

Ethical approach

  • 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.

Further information

Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

Education cycle

Second cycle