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Data management and data platformsLaajuus (5 op)

Tunnus: AL00CJ24

Laajuus

5 op

Opetuskieli

  • englanti

Osaamistavoitteet

The student is able to
- find solutions to business data management, data storages and data sharing in various platforms
- work in the process to model an Entity Relationship diagram
- use data management system services and understands their purpose of use
- master relational database concepts and design
- use basic Structural Query Language, SQL commands
- create a simple relational database based on specified requirements

Ilmoittautumisaika

06.05.2024 - 30.08.2024

Ajoitus

30.09.2024 - 29.11.2024

Opintopistemäärä

5 op

Virtuaaliosuus

5 op

Toteutustapa

Etäopetus

Yksikkö

Liiketoiminta (LAB)

Toimipiste

Verkkokampus

Opetuskielet
  • Englanti
Paikat

20 - 100

Koulutus
  • Complementary competence, Bachelor's
Opettaja
  • Vesa Alatalo
  • Jaana Tanhuanpää
Opetusryhmät
  • Itsenäinen opiskelu verkossa (Koko: 0. Avoin AMK: 0.)
  • Verkkoluento 1 (Koko: 0. Avoin AMK: 0.)
Ryhmät
  • LLABTO23-24E
    Complementary competence (Bachelor's) 2023-2024, Faculty of Business and Hospitality Management
  • LLTIEX24S1
    Saapuvat vaihto-opiskelijat 24S, pitkät vaihdot, liiketalous, Lahti
  • LLTIEX24S2
    Saapuvat vaihto-opiskelijat 24S, pitkät vaihdot, tietojenkäsittely, Lahti
  • LLABTOIT
    Täydentävä osaaminen (AMK), Liiketoimintayksikkö, Tietojenkäsittely
  • LLPREX24SIB
    Saapuvat vaihto-opiskelijat 24S, pitkät vaihdot, liiketalous, Lappeenranta
  • LLPREX24SH
    Saapuvat vaihto-opiskelijat 24S, pitkät vaihdot, hotelli- ja ravintola-ala, Lappeenranta
  • LLABTO24-25E
    Complementary competence (Bachelor's) 2024-2025, Faculty of Business and Hospitality Management
Pienryhmät
  • Itsenäinen opiskelu verkossa
  • Verkkoluento 1

Osaamistavoitteet

The student is able to
- find solutions to business data management, data storages and data sharing in various platforms
- work in the process to model an Entity Relationship diagram
- use data management system services and understands their purpose of use
- master relational database concepts and design
- use basic Structural Query Language, SQL commands
- create a simple relational database based on specified requirements

Toteutustapa ja opetusmenetelmät

Join this course to learn more about data management, business intelligence, and relational database management. The course has 3 online lectures. Students complete most of the course independently on the Moodle learning platform.

Ajoitus ja läsnäolo

The course starts at the end of September and ends in November 2024. During this time, students participate in 3 online lectures. The rest of the time, the student studies independently according to his/her own schedule.

Oppimateriaali ja suositeltava kirjallisuus

Material is given on Moodle learning platform + course book. In addition, students are supposed to search for information individually from different sources.

Course book:
It's All Analytics: The Foundations of Al, Big Data and Data Science Landscape for Professionals in Healthcare, Business, and Government
Burk, Scott ; Miner, Gary D. 2020
Available from LAB Primo: https://ebookcentral.proquest.com/lib/lab-ebooks/detail.action?docID=6209045&pq-origsite=primo

Toteutuksen valinnaiset suoritustavat

None.

Työelämäyhteistyö

Examples from real working life are given.

Oppimisympäristö

Moodle e-learning platform.

Opiskelijan ajankäyttö ja kuormitus

The 5 ECTS course requires about 130 hours of work.

Sisältö

Relational database management system concepts and relational database structure. Overview of NoSQL databases. Data warehousing alternative technologies.
Structural Query Language (SQL) fundamentals. SQL commands to create, read, update, and delete data (CRUD). Focus on querying data for your specified needs from a relational database. SQL SELECT statement in detail.

Basics of knowledge management.
Business intelligence, data analytics, and AI.

Arviointimenetelmät

The course is graded on an approved/failed basis. A minimum of 50% of the maximum points needed for an approved task/exercise/test.

Arviointiasteikko

Hyväksytty/Hylätty

Arviointikriteerit: arviointiasteikko hyväksytty/hylätty

Minimum of 50% of maximum points needed for an approved task/exercise/test.