CHDH Teaching
Recommended courses
The psychology classes most closely allied with the Hub are:
- Cognitive Psychology (PSYC20007)
- Perception, Memory and Cognition (PSYC30017)
- Research Methods for Human Inquiry (PSYC30013)
- Computational Behavioral Science (PSCY30023)
- Models of Psychological Processes (PSYC40012)
We recommend that Psychology majors with Hub-related interests take this entire sequence.
Students from other related areas (e.g. neuroscience, computer science, mathematics, statistics, and linguistics) are also welcome to take these classes. We especially recommend:
- Cognitive Psychology (PSYC20007)
- Perception, Memory and Cognition (PSYC30017)
- Computational Behavioral Science (PSCY30023)
Other classes on campus that connect with our research include:
- Critical Thinking With Data (UNIB10006)
- Logic: Language and Information (UNIB10002)
- AI, Ethics and the Law (LAWS10009)
- Real and Artificial Neural Networks (NEUR30006)
- Machine Learning (COMP30027)
- Artificial Intelligence (COMP30024)
- Behavioural Economics (ECON30019)
Learning through research
Another way to learn more about computational behavioral science is to get involved with our research. Hub members can supervise:
- Science Research Project (SCIE30001)
You can also fill out the link here if you'd like to get involved in a research project.
Summer school
The CHDH regularly organizes a summer school that teaches some of the skills required to develop computational analyses of human behavior. Materials from previous years are available here.