Fundamentals of Predictive Behavioral Analysis

Instructor: Prof. Dr. Dr. Marco Ragni and Dr. Ying-Hsang Liu

Contents: The module provides an overview of general interdisciplinary fundamentals of predictive behavioral analysis. It conveys knowledge of both psychological and statistical basics, as well as approaches to cognitive modeling. Furthermore, the module imparts an understanding of the application areas of the learned methods and knowledge about the potential dangers of these methods.

Learning Objectives: Students will understand the factors that influence behavior and know how decisions are made. They will have the ability to describe, explain, and predict behavior using statistical methods and cognitive modeling, and can explain and apply fundamental methods. Furthermore, they will be able to identify the potential and risks of these methods.

Prerequisites: None

Target Group:

• Mandatory Groups: B_MK__2


• Elective-Mandatory Groups: M_HF__2, M_HF__4

Course Link: OPAL

Lecture

  Time: Tuesday, 11:30 AM - 1:00 PM

  Location: 2/N003 (C10.006)