Course - Big Data Architecture - TDT4305
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.
Recommended previous knowledge
TDT4120 Algorithms and Data Structures and TDT4145 Data Modelling, Databases and Database Management Systems, or equivalent.
Course materials
Will be informed of at semester start.
Version: 1
Credits:
7.5 SP
Study level: Second degree level
Term no.: 1
Teaching semester: SPRING 2025
Language of instruction: -
Location: Trondheim
- Informatics
- Technological subjects
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.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"