TDT4305 - Big Data Architecture


Examination arrangement

Examination arrangement: Aggregate score
Grade: Letter grades

Evaluation Weighting Duration Grade deviation Examination aids
Assignment 50/100
School exam 50/100 4 hours D

Course content

The course gives an overview of main aspects of Big Data. Central topics are frameworks for Big Data processing (MapReduce, Spark, Storm, etc.), mining Big Data, data streams and analysis of time series, recommender systems, and social network analysis.

Learning outcome

Knowledge: The candidate will get knowledge of: - Big Data frameworks. - Mining of Big Data. - Processing of data streams. - Analysis of time series. - Recommender systems. - Analysis of social networks. Skills: - Understand important aspects of Big Data. - Ability to apply acquired knowledge for understanding data and select suitable methods for processing and analyzing Big Data.

Learning methods and activities

Lectures, self-study and project.

Further on evaluation

The exam is given in English.

If there is a re-sit examination, the examination form may change from written to oral.

Course materials

Will be informed of at semester start.

More on the course

Version: 1
Credits:  7.5 SP
Study level: Second degree level


Term no.: 1
Teaching semester:  SPRING 2023

Language of instruction: Norwegian

Location: Trondheim

Subject area(s)
  • Informatics
  • Technological subjects
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of Computer Science


Examination arrangement: Aggregate score

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Spring ORD School exam 50/100 D 2023-05-22 09:00 INSPERA
Room Building Number of candidates
SL274 Sluppenvegen 14 1
SL110 lilla sone Sluppenvegen 14 43
SL121 Sluppenvegen 14 1
SL120 blå sone Sluppenvegen 14 3
SL110 hvit sone Sluppenvegen 14 63
Spring ORD Assignment 50/100



Room Building Number of candidates
Summer UTS School exam 50/100 D INSPERA
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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