course-details-portlet

TDT4305 - Big Data Architecture

About

Examination arrangement

Examination arrangement: School exam
Grade: Letter grades

Evaluation Weighting Duration Grade deviation Examination aids
School exam 100/100 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, 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 - 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 and exercises.

Compulsory assignments

  • Exercises

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
Facts

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

Coursework

Term no.: 1
Teaching semester:  SPRING 2025

Language of instruction: -

Location: Trondheim

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

Department with academic responsibility
Department of Computer Science

Examination

Examination arrangement: School exam

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Spring ORD School exam 100/100 D INSPERA
Room Building Number of candidates
Summer UTS School exam 100/100 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.
Examination

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

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