The use of artificial intelligence in psychology WPS-PS-UAIP-ER
1. Big Data and Artificial Intelligence: Foundations for Psychological Research
2. Data Acquisition: From Sources to Intelligent Systems
3. Exploring the Web: How Crawlers Discover Data
4. Extracting Data from the Web: Web Scraping in Practice
5. From Text to Data: Discovering Patterns in Language
6. Inside the Transformer: How Modern AI Processes Information
7. GPT Models: How Generative AI Understands and Produces Language
8. Decision Trees: How AI Learns to Classify
9. Regression Trees: How AI Predicts Continuous Outcomes
10. Support Vector Machines: How AI Finds the Best Decision Boundary
11. Support Vector Regression: How AI Predicts Continuous Values
12. Neural Networks for Classification: From the Perceptron to AI
13. Neural Networks for Regression: How AI Predicts Continuous Values
14. Social Network Analysis: Understanding the Structure of Connections
15. Social Network Analysis: How to Interpret Network Structure
Grupa przedmiotów ogólnouczenianych
Koordynatorzy przedmiotu
Poziom przedmiotu
Symbol/Symbole kierunkowe efektów uczenia się
Typ przedmiotu
Efekty uczenia się
KNOWLEDGE:
- have knowledge of some research in psychology that was carried out with the use of algorithms, e.g. regarding personality profiles drawn on the basis of activity in post-social networks such as facebook, etc.
SKILLS:
- students correctly use the terminology of data mining methods,
COMPETENCES:
understand the principle of their use to analyze data in science
Description of ECTS credits
Participation in classes: 30 hours
Preparation for classes and a test, reading the literature: 30 hours
Kryteria oceniania
The basis for completing the course is a test of the knowledge acquired during the lecture
Literatura
Basic literature:
Elder, J., Hill, T., Miner, G., Nisbet, B., Delen, D., & Fast, A. (2012). Practical Text Mining and Statistical Analysis for Nono-structured Text Data Application. Oxford: Elsevier.
Nisbet, R., Elder, J., & Miner, G. (2009). Handbook of statistical analysis and data mining applications. Burlington, MA: Academic Press (Elsevier).
Szymańska, A. (2026). Mathematical Modeling in Psychology Using Artificial Intelligence. UKSW Press.
Więcej informacji
Dodatkowe informacje (np. o kalendarzu rejestracji, prowadzących zajęcia, lokalizacji i terminach zajęć) mogą być dostępne w serwisie USOSweb: