Design of data analytics services (5op)

Arviointiasteikko

H-5

Sisällön jaksotus

Contact sessions in AC

Tavoitteet

This module is focusing on providing you practical experience in designing and implementing Data Analytics service based on a real task from the working life. The module is implemented through a problem-based learning approach. Teachers coach the learning process, lecture, guide the practical work, organize workshops, and provide consultancy to the students. The prerequisite for this course is the possession of the solid and comprehensive subject matter knowledge and skills in Statistics, Machine Learning, Data and Business Analytics, Data infrastructure, and Digital Service models.

Sisältö

Tieto puuttuu

Aika ja paikka

8.11.2021 - 26.11.2021

Oppimateriaalit

announced later in the beginning of the course.

Opetusmenetelmät

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.

Harjoittelu- ja työelämäyhteistyö

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.

Toteutuksen valinnaiset suoritustavat

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.

Opiskelijan ajankäyttö ja kuormitus

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.

Arviointikriteerit, tyydyttävä (1)

Evaluation target: You can define the requirements and, based on these, to design and implement Data Analytics services.

Satisfactory
You describe the most important elements of Data Analytics service. You can do service ideation, design, and select implementation methods with supervision and guidance.

Arviointikriteerit, hyvä (3)

Good
You implement typical Data Analytics service according to the requirements, and you can solve related challenges independently.

Arviointikriteerit, kiitettävä (5)

Excellent
You produce complex and efficient implementations of Data Analytics service independently and according to the requirements. You can also choose the appropriate tools and justify your choice.

Esitietovaatimukset

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