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Edistynyt tiedonhallinta (5 op)

Toteutuksen tunnus: R504D105-3001

Toteutuksen perustiedot


Ilmoittautumisaika
18.03.2024 - 01.09.2024
Ilmoittautuminen toteutukselle on päättynyt.
Ajoitus
02.09.2024 - 03.11.2024
Toteutus on päättynyt.
Opintopistemäärä
5 op
Lähiosuus
5 op
Toteutustapa
Lähiopetus
Yksikkö
Insinöörikoulutus, tieto- ja viestintätekniikka
Opetuskielet
englanti
Paikat
0 - 30
Opettajat
Aku Kesti
Vastuuopettaja
Aku Kesti
Ryhmät
R54D22S
Bachelor of Engineering, Machine Learning and Data Engineering (full time studies), 2022
Opintojakso
R504D105

Arviointiasteikko

H-5

Sisällön jaksotus

Database design
NoSQL databases
Authentication and authorization
Big data, aggregations and indexes
Perfomance and data quality
Filtering data, python

Tavoitteet

The student knows how to choose, design and apply a suitable data management system (SQL and/or NoSQL) for their software project. The student is able to use advanced data management techniques based on authentication, authorization and, for example, handling complex large datasets efficiently.

Sisältö

- Design and implementation of the chosen data management system
- Implementing the authentication and authorization
- Managing large complex datasets (e.g. aggregation and indexing, etc.)
- Maintaining system performance and quality of data
- Data filtering
- Analytics

Aika ja paikka

Lectures will be kept in Lapland UAS, Rovaniemi. We will use computer rooms at Rantavitikka campus

Oppimateriaalit

Study material will be distributed in moodle.


Opetusmenetelmät

There will be about 40 hours lectures. During the lectures we study the course topics and also get knowledge how to compile the course works.

Also a semester project will be part of the course and evaluation criteria.

Opiskelijan ajankäyttö ja kuormitus

Course is 5 credits and requires 125 hours student work which is splitted approximately:
40 hours lectures
20 hours self studying
20 hours project work
45 hours assignments

Arviointikriteerit, tyydyttävä (1)

The student is able to implement SQL- and/or NoSQL-based data management applications acknowledging basic level of information security under guidance.

Arviointikriteerit, hyvä (3)

The student is able to implement SQL- and/or NoSQL-based data management applications acknowledging basic level of information security independently. The student is also able to apply some advanced filtering techniques as well as monitor and manage the system performance in their data management system.

Arviointikriteerit, kiitettävä (5)

The student is able to implement SQL- and/or NoSQL-based data management applications and apply advanced level of information security independently. The student is also able to proactively apply advanced filtering techniques as well as monitor and manage the system performance in their data management system based on their own consideration.

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