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: 08.01.2025 - 02.04.2025
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:
Prerequisites
valid for whole curriculum period:
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: 2024-2025 Spring III - IV
2025-2026 Spring III - IVRegistration:
Only for Engineering psychology students.