Data infrastructure (5cr)

Evaluation scale

H-5

Content scheduling

Contact sessions in AC

Objective

In this module, you learn about the recent frameworks, tools, and methods of providing a data infrastructure for data analytics in companies and organizations. The content of the module is covering principles and tools for different stages of the data lifecycle. The prerequisite for this course is a successful completion of Data lifecycle management and solid knowledge in Data Analytics methods and tools.

Content

Tieto puuttuu

Location and time

20.9.2021-8.10.2021

Materials

To be announced in the beginning of the course.

Teaching methods

Problem-based and team based learning may be applied where applicable. Students will seek information and solve problems related to subject presented. 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 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 can define and implement the technical infrastructure for information and data management in organizations and the business environment.

Satisfactory
You describe the most important elements, models and tools for data infrastructure.

Assessment criteria, good (3)

Good
You specify the data infrastructure according to the given requirements and can choose appropriate tools and methods.

Assessment criteria, excellent (5)

Excellent
You understand different aspects of data infrastructure and can implement it independently. You can also evaluate different alternatives and can recommend an effective solution according to the organizational objectives and requirements.

Qualifications

NULL