About this course

The course is under constant development due to the nature of technology and its development. The basic topics of the course are:

  1. Introduction to databases.
  2. Raw data and data processing.
  3. Analysis and methods
  4. Query and analysis of data
  5. Datalogging from external devices.
  6. Data and security.

See the course web pages for updated information.

Learning outcome

  1. Be familiar with database handling systems and the theoretical foundation.
  2. Master methods and techniques used for structuring raw data.
  3. Be able to model and analyse data located in databases
  4. Be able to program solutions for processlng and analysis of raw data
  5. Be able to use existing analysis software and knowhow the workflow
  6. Be able to use data mining principles
  7. Be familiar with IOT (Internet Of Things)
  8. Be familiar with datalogging and on-line visualisation

  • Learning activities

    1. Lectures.
    2. Group work/exercises with teaching assistant present in selected hours.
    3. Compulsory problem-solving.
    4. Independent study.

  • Teaching support

    Assistant teachers will give professional guidance in groups.

  • Syllabus

    Will be announced at the beginning of the course.

  • Prerequisites

    INF120

  • Assessment method

    3 hour written exam. A-F.

    One written exam Karakterregel: Letter grades Hjelpemiddel: A1 No calculator, no other aids One written exam Karakterregel: Letter grades Hjelpemiddel: A1 No calculator, no other aids

  • About use of AI

    K1- No use of AI.

    The AI tools are not allowed to be used during the course assignment, compulsory submissions, and during the examination.

    Descriptions of AI-category codes.

  • Examiner scheme

    The course coordinator is primarily responsible for preparing the final examination and the compulsory assignments. An internal examiner collaborates with the course coordinator to review the final examination tasks. Grade justification and clarification are provided in accordance with the department's guidelines.

  • Mandatory activity

    Compulsory assignments will be given. The assignments will include all areas that are of importance to the study of the subject. A more elaborate exercice will be given in the last part of the course. The details will be announced at cource startup.

  • Teaching hours

    • Lectures: 2 hours per week for 13 weeks.
    • Exercises: 2 hours per week for 13 weeks.

  • Reduction of credits

    10 credits INF130

  • Admission requirements

    Special requirements in Science.