Study Guide

Learning outcomes

The student is able to
- recognize the consumer behavior offline and online (per main demographics)
- plan data collection pointsand methods online
- analyze data (e.g. aggregation, trends, comparison)
- visualize results (e.g. dashboards)
- plan consumer activation methods based on data

Teaching methods

WANT TO UPGRADE YOUR DIGITAL ANALYTICS SKILLS?

The amount of data is growing rapidly in the world, in any field of business. This requires deeper understanding the consumer/user behavior, data analytics skills and understanding of big data and artificial intelligence (AI).

This is an experimental sprint week in August, week 33, 14-20.8.2023. It requires FULL TIME PARTICIPATION from students 9-17, Monday to Friday.

Students will be RANDOMLY divided into two groups. First group will do the project & team work ONLINE and the other group will be doing the same FACE-TO-FACE at Laurea Leppävaara -campus (at Digital Living Lab/009). The content and facilitation for both methods is the same and coaches are available all the time. Students will know their group during June 2023.

The students of this study unit will participate in the research about learning. The permission will be asked from all the students for collecting, analyzing and publishing the data (anonymously). The research will be conducted by main coach, Asko Mononen, who is currently doing his PhD studies at the National Defence University of Finland related to pedagogics and AI. The pre-and post questionnaires will be conducted to find out the student’s attitudes and experiences, and they do not require any preparation, nor affect the grading. The grading for this study unit is passed/failed, so all actively participating students will pass the course.

Location and time

Depending on the group, a) online or b) at Laurea Leppävaara-campus, Digital Living Lab 009.

Students will be informed in June 2023 which group they belong to.

Learning materials and recommended literature

All the necessary materials will be shared before the week.

Alternative completion methods of implementation

Not available for this course. The will be later 2023-2024 separate online courses for this (to be confirmed).

Co-operation with working life and/or RDI

We will experiment and utilize open data from opendata.fi.

Important dates

Week 33, 2023. From Monday 14.8.2023 - Friday 18.8.2023. Participation required 8 hours every day, 9-17.

Forms of internationality

Exchange students are welcome to this course.

Students workload

Note! This intensive week requires the daily participation into design spring during one week (8 hours per day, 9-17). The remote option is not possible. There will be later online version of the same course.

Grading scale

Approved/Failed

Evaluation methods and criteria

For the intensive week, the grading is Approved/Failed. All who participate actively during the week without absences, will pass the course.

Evaluation criteria, approved/failed

Full time active participation to intensive week.

Evaluation criteria, fail (0)

Not actively participating to intensive week or absences during the week.