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Study module, curriculum year 2019–2020
CBDAST

Advanced Studies in Big Data Analytics, 85 cr

Tampere University
Description

Compulsory courses and courses in Methods of Computational and Statistical Data-Analytics.
Objectives

The advanced studies in Computational Big Data Analytics make the student familiar with statistical and computational methods suitable for big data analytics, so that the student can choose suitable data analysis methods for each analysis task at hand, apply these methods to analyze the data, and use efficient computational and statistical methods to manage and analyze big data.

The available advanced studies include teaching computational and statistical analysis methods for several kinds of data and several analysis tasks, methods that are necessary for integrating data from different data sources during data preprocessing and/or analysis, and methods for visualizing the data / analysis results.

Study module code
CBDAST
Language of instruction
English
Academic year
2019–2020
Level of study
Advanced studies
Fields of study
Natural Sciences
Maximum credits
85
Persons responsible
Responsible teacher:
Jaakko Peltonen
Responsible teacher:
Martti Juhola
Studies that include this module
Study module code
CBDAST
Language of instruction
English
Academic year
2019–2020
Level of study
Advanced studies
Fields of study
Natural Sciences
Maximum credits
85
Persons responsible
Responsible teacher:
Jaakko Peltonen
Responsible teacher:
Martti Juhola