Project (5 cr)
Code: DA00DG84-3002
General information
- Enrollment
-
16.12.2019 - 10.01.2020
Registration for the implementation has ended.
- Timing
-
01.01.2020 - 30.04.2020
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 3 cr
- Virtual portion
- 2 cr
- RDI portion
- 2 cr
- Mode of delivery
- Blended learning
- Unit
- Liiketalouden koulutusyksikkö, Kouvola (vanhennettu)
- Campus
- Kouvola Campus
- Teaching languages
- Finnish
- Seats
- 20 - 35
- Degree programmes
- Degree Programme in Business Data Analytics and Visualisation
Objective
You are able to plan, define and plan business projects.
You know the project management methods and are able to use the tools needed in project work.
You are able to act as a member of project groups and coordinate projects.
You know project stages and can work successfully in different stages.
You know different roles and ways of working in project and team work.
You are able to prepare for meetings and work successfully at meetings.
Content
What are the main project management methods and tools?
How to produce project plans?
How to carry out projects and control project progress?
What roles, ways of working and meeting and negotiation practices do projects involve?
Course material
Opintojakson sivut Learnissa Projektiosaaminen (avain MSProject)
Study forms and methods
Scheduled track:
Contact teaching.
Independent track:
Project and presentation of that project.
Exam of project basics (Nina).
Blended track:
Previous course from previous DA-group.
Student workload
1 credit = 27 hours work.
Further information
Opintojakso jakautuu kahteen osaan: Projektiperusteet (Ninan osuus) ja Data-analytiikan projekti (Päivin osuus).
Projektiperusteissa tutustutaan projektinhallinnan teoriaan.
Data-analytiikan projektissa tehdään suunnitelma ja ohjataan Datan hankinta 1 ja Data-analyysi 1 -opintojaksoilla toteutettavaa projektia. Data-analytiikan projektissa harjoitellaan MS-Project-ohjelman käyttöä.
Evaluation scale
1-5
Assessment methods and criteria
Projektiperusteiden tentti (Nina).
Data-analytiikan projektissa arviointi:
Projektisuunnitelma 40%
Ohjausseminaari ja vertaiskehittäminen 20%
Oppimispäiväkirja 10%
Projektinhallinnan oppimistehtävä 30%