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Databases 2 (5op)

Toteutuksen tunnus: T42D27OJ-3001

Toteutuksen perustiedot


Ilmoittautumisaika
02.12.2019 - 18.02.2020
Ilmoittautuminen toteutukselle on päättynyt.
Ajoitus
26.02.2020 - 16.04.2020
Toteutus on päättynyt.
Opintopistemäärä
5 op
Lähiosuus
5 op
Toteutustapa
Lähiopetus
Yksikkö
Tradenomikoulutus, tietojenkäsittely
Opetuskielet
suomi
Koulutus
Business Information Technology
Opettajat
Pekka Reijonen
Vastuuopettaja
Pekka Reijonen
Ryhmät
T42D19S
Business Information Technology (day time learning) Tornio autumn 2019
Opintojakso
T42D27OJ

Arviointiasteikko

H-5

Sisällön jaksotus

On campus: 26.02.2020 - 16.04.2020

Tavoitteet

This module provides you deeper knowledge on using databases as part of software development projects and data analytics. You will learn to admin databases and use complicated data structures as part of data analysis and source of data in programming.

Sisältö

Tieto puuttuu

Aika ja paikka

On campus: 26.02.2020 - 16.04.2020

Opetusmenetelmät

Problem-based learning and team based learning may be applied where applicable. Meaning students will seek knowledge and solve problems related to subject guided. Different activating vocational teaching methods will be used depending on the group taught and the facilities available. When applicable, conventions from selected areas in software industry may be used as a part of teaching. Teacher guides the learning process by short introductory lectures and/or initial subject related material to be studied before practical work. Teacher prepares the setting for learning and provides coaching for the students. Teaching sessions may take place on campus and online. The main focus will be on guided knowledge searching and practical work on it.

Harjoittelu- ja työelämäyhteistyö

Software industry conventions may be used.

Toteutuksen valinnaiset suoritustavat

Before the course starts, students may propose to the course teachers their personal implementation plan. The plan must be realistic and result in verificable development in the targeted competence(s). In addition, guidance from MIGRI and student visa must be taken into account. Course teachers accept or reject student's plan based on their own consideration.

Opiskelijan ajankäyttö ja kuormitus

The student's estimated workload of this implementation is 135 h as follows:
Roughly half of which is Independent individual and teamwork guided when needed.
Rest of hours will be mostly learning the subject with guided exercises.

Arviointikriteerit, tyydyttävä (1)

Evaluation target: You can utilize databases for data-analytics needs diversely.

Satisfactory


You can combine data queries into programming language as defined in requirements.

Arviointikriteerit, hyvä (3)

Good
You can use common data query languages and can create a database application on your own.

Arviointikriteerit, kiitettävä (5)

Excellent
You can create queries to produce data for data analysis and combine the database queries to programming languages to produce database applications.

Esitietovaatimukset

NULL

Lisätiedot

You should have basic programming skills.

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