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HU Credits:
4
Degree/Cycle:
1st degree (Bachelor)
Responsible Department:
psychology
Semester:
Yearly
Teaching Languages:
Hebrew
Campus:
Mt. Scopus
Course/Module Coordinator:
Ruth Mayo
Coordinator Office Hours:
בתיאום מראש
By appointment
Teaching Staff:
Dr. Ruth Mayo
Course/Module description:
At the social-cognitive lab, the main idea is that our cognition is context dependent and as people are social creatures, the main context is other people. The course will deal with two main research topics:
1. Trust and Distrust. One of the basic feelings in our life is trust and distrust. We are used to thinking of distrust as a negative thing. However, research suggests that distrust has some advantages. In a distrust mindset people think more creatively, are less stereotypical in their thought and know how to cope with compacted information and situations. We will explore other aspects and effects of dis/trust in other people, in our self and in the information we receive.
2. Public- awareness and Self-awareness. How does the social context affect the way we make decisions and judgments? Does the feeling of being looked at affects the way we process information? How do the cameras around us (in the streets, on our laptop, on our phone) affect our cognitive processes?
During the year the students will be involved in several projects testing these questions. The students will spend 4 hours weekly in the lab. In this time the students will take part in the planning, testing and running of studies. The students will participate in a weekly lab meeting. In these meetings we will discuss papers, research ideas, planning experiments, analyzing data and more. The students will write their seminar paper as part of this course.
Course/Module aims:
The aim of the course is to enable experimental experience in lab in all research steps – from the stage of thinking of the research questions, preparing the right experiment, conducting the experiment, analyzing the data and reaching conclusions.
Learning outcomes - On successful completion of this module, students should be able to:
Raise experimental questions, plan and conduce experiments. Perform data analysis. Critically discuss main hypotheses and predictions.
Attendance requirements(%):
100%
Teaching arrangement and method of instruction:
The course combines group discussions and running the experiments.
Course/Module Content:
Topics are determined according to the research question selected.
Required Reading:
Required Reading:
The required reading is determined every year according the research topic selected – the experiments and findings.
Additional Reading Material:
Course/Module evaluation:
End of year written/oral examination 0 %
Presentation 0 %
Participation in Tutorials 50 %
Project work 0 %
Assignments 0 %
Reports 0 %
Research project 50 %
Quizzes 0 %
Other 0 %
Additional information:
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