The use of artificial intelligence in psychology WF-PS-UAIP-ER
1. Basic information about artificial intelligence algorithms
2. Decision tree algorithms
3. Quinlan's algorithm and its use in psychology - research examples
4. The regression tree algorithm and its use in psychology - research examples
5. classification trees algorithm and its use in psychology - research examples
6. Artificial neural networks
7. Artificial neural networks and their use in psychology - research examples part. 1
8. Artificial neural networks and their use in psychology - research examples part. 2
9. Other methods of machine learning - support vector machine - research example
10. The apriori algorithm, Market Basket Analysis - an example of use in psychology
11. Text mining algorithms and their use for text analysis
13. Text mining algorithms and their use in psychology - research example of personality traits parents shape in their children
14. Social Network Analysis - application, implementation and use in psychology. Combining SNA with text mining algorithms (on the example of personality traits shaped by parents).
15. colloquium
E-Learning
Grupa przedmiotów ogólnouczenianych
W cyklu 2021/22_Z: nie dotyczy | W cyklu 2022/23_Z: PO - przedmioty ogólnouczelniane (bez obszaru) |
Poziom przedmiotu
Symbol/Symbole kierunkowe efektów uczenia się
Typ przedmiotu
Koordynatorzy przedmiotu
W cyklu 2022/23_Z: | W cyklu 2021/22_Z: |
Efekty kształcenia
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).
Więcej informacji
Dodatkowe informacje (np. o kalendarzu rejestracji, prowadzących zajęcia, lokalizacji i terminach zajęć) mogą być dostępne w serwisie USOSweb: