Opintojakson tiedot
Näytä opetus ja tentit
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 cr

 
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, the exercises do not require programming skills but they are an advantage.

 

 
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 exercises, seminar presentations and short reports on a selected topic (group work), and answering two quizzes during the course. To pass the course, it is enough to get 50% of available points for each part. No exam.

 

 
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 

-

 


Meneillään oleva ja tuleva opetus
Ei opetusta WebOodissa

Tulevat tentit
Ei tenttejä WebOodissa