- Introduction to databases, data storage and information administration
- The relational model and normalisation
- Conceptual modelling and logical database modeling
- Query language
- Memory management and handling of persistent storage
IV1351 Data Storage Paradigms 7.5 credits
The course introduces the area of databases/data storage. The following subjects ar covered:
- Introduction to databases, data storage and information administration
- The relational model and normalisation
- Conceptual modelling and logical database modeling
- Query language
- Memory management and handling of persistent storage
Information per course offering
Choose semester and course offering to see current information and more about the course, such as course syllabus, study period, and application information.
Information for Autumn 2025 Start 27 Oct 2025 programme students
- Course location
KTH Campus
- Duration
- 27 Oct 2025 - 12 Jan 2026
- Periods
- P2 (7.5 hp)
- Pace of study
50%
- Application code
50273
- Form of study
Normal Daytime
- Language of instruction
English
- Course memo
- Course memo is not published
- Number of places
Places are not limited
- Target group
Open to all programmes as long as it can be included in your programme.
- Planned modular schedule
- [object Object]
- Schedule
- Schedule is not published
- Part of programme
Bachelor's Programme in Information and Communication Technology, åk 2, Recommended
Bachelor's Programme in Information and Communication Technology, åk 3, Recommended
Degree Programme in Computer Engineering, åk 2, Mandatory
Degree Programme in Electronics and Computer Engineering, åk 3, Recommended
Degree Programme in Information and Communication Technology, åk 2, Conditionally Elective
Degree Programme in Information and Communication Technology, åk 3, Conditionally Elective
Contact
Course syllabus as PDF
Please note: all information from the Course syllabus is available on this page in an accessible format.
Course syllabus IV1351 (Autumn 2021–)Content and learning outcomes
Course contents
Intended learning outcomes
After passing the course, the student shall be able to
- describe and explain basic concepts, principles and theories in the area of data/databases/data storage and in information administration and database design
- model needs for information based on an organisational description and convert the model to a functioning database
- use relational databases and query languages
- describe how a programme can access a database and write such a programme.
Literature and preparations
Specific prerequisites
Knowledge and skills in programming, 7.5 higher education credits, equivalent to completed course ID1018.
Active participation in a course offering where the final examination is not yet reported in LADOK is considered equivalent to completion of the course.
Registering for a course is counted as active participation.
The term 'final examination' encompasses both the regular examination and the first re-examination.
Equipment
Literature
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
Examination
- LAB1 - Laboratory Works and Project, 4.5 credits, grading scale: A, B, C, D, E, FX, F
- TEN1 - Examination, 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.
Opportunity to complete the requirements via supplementary examination
Opportunity to raise an approved grade via renewed examination
Examiner
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
Offered by
Main field of study
Education cycle
Add-on studies
IV1023 Advanced Information Handling with XML
IV2013 Relational database design
IV2014 Data Warehousing
Supplementary information
In this course, the EECS code of honor applies, see: http://www.kth.se/en/eecs/utbildning/hederskodex.