Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

You understand the differences between correlation and causation. You learn how to conduct exploratory data analysis. You learn about designing scientific experiments and challenges with data modeling and causality.

Credits: 5

Schedule: 09.01.2023 - 15.02.2023

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Robin Welsch

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: Finnish

CONTENT, ASSESSMENT AND WORKLOAD

Content
  • valid for whole curriculum period:

    Students will create their own experiments and will participate experiments from other students in the class. Collected data will be explored and modeled.

Assessment Methods and Criteria
  • valid for whole curriculum period:

    Mandatory participation. Practical work and lectures.

Workload
  • valid for whole curriculum period:

    Practical work and lectures.

DETAILS

Substitutes for Courses
Prerequisites
SDG: Sustainable Development Goals

    3 Good Health and Well-being

    8 Decent Work and Economic Growth

    11 Sustainable Cities and Communities

FURTHER INFORMATION

Further Information
  • valid for whole curriculum period:

    Teaching Language : Finnish

    Teaching Period : 2022-2023 Spring III
    2023-2024 Spring III

    Enrollment :

    Only for Engineering psychology students.