Cloud computing and architecture 2 (5cr)

Evaluation scale

H-5

Content scheduling

Online: Self study package 2.3.2020 - 6.3.2020
On campus: 13.05.2020 - 22.05.2020

Objective

This module provides you the advanced practical knowledge about cloud computing solutions. You will learn how to design and implement cloud computing solutions for data analytics.

Content

Tieto puuttuu

Location and time

Self study. Off Campus, independent: 2.3. - 6.3.
On campus: 13.05.2020 - 22.05.2020

Materials

For self studies material will be updated before end of 2019.

Teaching methods

Group work and individual assignment. 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 techniques 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.

Employer connections

Software industry conventions may be used when applicable, while doing the group work.

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 of following elements:
Independent teamwork + supervised 81h
Self study 58h (self study package)

Assessment criteria, satisfactory (1)

Evaluation target: You can design and implement a cloud computing solution for data analytics

Satisfactory
You are able to implement a cloud computing solution with supervision and guidance.

Assessment criteria, good (3)

Good
You are able to design an implementable cloud computing solution. You are able to implement your solution.

Assessment criteria, excellent (5)

Excellent
You are able to design an efficient and implementable cloud computing solution for a specific need. You are able to implement your solution in an effective way.

Qualifications

NULL

Further information

2 points of self study must be completed before on campus session begin. Advised period is as early as possible, ending to spring self study week: 2.3.2020 - 6.3.2020.
The self study package will be published latest 22.2.2020.
When the on campus studies start, there may be a seminar held about the self study results.