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521283S Massadatan käsittely ja soveltaminen, 5 op 
Tunniste 521283S  Voimassaolo 01.08.2015 -
Nimi Massadatan käsittely ja soveltaminen  Lyhenne Massadatan käsi 
Laajuus5 op   
OpiskelumuotoSyventävät opinnot Oppiaine4307 Tietotekniikka 
LajiOpintojakso   
  Arvostelu1 - 5, hyv, hyl 
 
   
Vastuuyksikkö Tietotekniikan ala 

Opettajat
Nimi
Ekaterina Gilman 

Kuvaus
Laajuus 

5 ECTS credits

 
Opetuskieli 

English

 
Ajoitus 

Period IV. It is recommended that the course is taken on the fourth year Spring.

 
Osaamistavoitteet 

Upon completion of the course, the student :

  1. is able to explain the big data phenomenon, its challenges and opportunities.
  2. is able to explain the requirements and common principles for data intensive systems design and implementation, and evaluate the benefits, risks and restrictions of available solutions.
  3. can explain the principles of big data management and processing technologies and utilize them on a basic level.
 
Sisältö 

General introduction into big data, namely: big data fundatmenals, data storage, batch and stream data processing, data analysis, privacy and security, big data use cases.

 
Järjestämistapa 

Face-to-face teaching, independent and group work

 
Toteutustavat 

Lectures, exercises, seminars, independent and group work

 
Kohderyhmä 
M.Sc. students (computer science and engineering) and other Students of the University of Oulu

 

 
Esitietovaatimukset 

The Bachelor level studies of Computer science and engineering study programmes or respective knowledge.

 
Yhteydet muihin opintojaksoihin 

Finishing 521290S Distributed Systems, 521497S Pattern recognition and neural networks, and 521286A Computer Systems is beneficial.

 
Oppimateriaali 

Lecture slides and exercise material will be provided. Each lecture will include the refernce list for recommended reading. Instructions to necessary installations will be given.

 
Suoritustavat ja arviointikriteerit 

This course assesses students continuously by the completion of small project work, seminar presentations and short reports on a selected topic (group work). Answering two quizzes during the course is optional and provides additional points for final grade. To pass the course, it is enough to get 50 % of available points. No exam.

Read more about assessment criteria at the University of Oulu webpage.

 

 
Arviointiasteikko 

The course utilizes a numerical grading scale 1-5. In the numerical scale zero stands for a fail.

 

 
Vastuuhenkilö 

Ekaterina Gilman

 
Työelämäyhteistyö 

The course includes also invited lectures from industry.

 
Lisätiedot 

Course is in Moodle.

 


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ilmoittautumisaika ei ole alkanut Massadatan käsittely ja soveltaminen  Opintojakso  Ekaterina Gilman  15.03.21 -05.05.21

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