Data lifecycle management (5cr)

Evaluation scale

H-5

Content scheduling

Contact sessions in AC: 05.04.2021 - 23.04.2021

Objective

In this module, you learn the main principles and frameworks for data lifecycle management. You learn about the processes that help organizations manage the flow of data throughout its lifecycle from creation, to use, to sharing, archive and deletion. Teachers coach your learning process, lecture, guide the practical work and organize workshops.

Content

Tieto puuttuu

Teaching methods

Problem-based and team based learning may be applied where applicable. Students will seek information and solve problems related to subject guided. Different activating vocational teaching methods will be used depending on the group taught and the facilities available. If 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.

Employer connections

Software industry conventions are used. This course may include a case company selected by the university. In addition, students are able to propose your own case companies, whose business information and data analytics they would like to develop. Students must provide a free form commission agreement from their own case companies.

Completion alternatives

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.

Student workload

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 practical and knowledge seeking exercises.

Assessment criteria, satisfactory (1)

Evaluation target: You know the Data lifecycle management (DLM) practices and are able to apply them.

Satisfactory
You describe typical activities and practices of DLM.

Assessment criteria, good (3)

Good
You explain the general purpose, content and benefits of DLM in the organizational context. Additionally you know some recent DLM solutions.

Assessment criteria, excellent (5)

Excellent
You analyse different requirements and organizational factors and give recommendations on DLM and appropriate solutions with proper justification.

Qualifications

NULL