Syllabus

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: 10.01.2024 - 09.04.2024

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: English

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

Study Material

• valid for whole curriculum period:

  Specified on the course webpages.

Substitutes for Courses

• valid for whole curriculum period:

  Substitutes for Courses

Prerequisites

• valid for whole curriculum period:

  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: English

  Teaching Period: 

  2022-2023 Spring III
  2023-2024 Spring III-IV

  Enrollment:

  Only for Engineering psychology students.

Description