2024 Faculty Courses School of Environment and Society Department of Social and Human Sciences Graduate major in Social and Human Sciences
Graduate Lecture in Cognition, Mathematics and Information S1A
- Academic unit or major
- Graduate major in Social and Human Sciences
- Instructor(s)
- Kimihiko Yamagishi
- Class Format
- Lecture (Face-to-face)
- Media-enhanced courses
- -
- Day of week/Period
(Classrooms) - 1-2 Tue
- Class
- -
- Course Code
- SHS.M441
- Number of credits
- 100
- Course offered
- 2024
- Offered quarter
- 1Q
- Syllabus updated
- Mar 14, 2025
- Language
- English
Syllabus
Course overview and goals
This course focuses on psychology of risk and uncertainty. For preparation of active-learning classes, the registration deadline is set at am 00:00, April 7th, 2024. Those who did not make the deadline and yet registered shall receive a dismissal notice from the instructor.
Course description and aims
The students shall cultivate mastery on standard cognitive theories pertaining to human understanding of uncertainty and probability judgment.
Keywords
Probability Judgment, Judgments under uncertainty, Cognitive Psychology
Competencies
- Specialist skills
- Intercultural skills
- Communication skills
- Critical thinking skills
- Practical and/or problem-solving skills
Class flow
Topics change in every class meeting. Basically the course goes in the mixture of conventional lecture-style and the Active Learning. Due to the necessity for Active Learning group formation, the students should adhere to the following requirements: One, register for the course by 0:00am on April 4th, 2024; Two, the class imposes a "minimal passenger count" of nine students.
Course schedule/Objectives
Course schedule | Objectives | |
---|---|---|
Class 1 | The early days in psychology of probability judgment | Understand theoretical backgrounds at the early stage of research. |
Class 2 | The 70's revolution: Heuristics and biases approach. | Understand the shift in research style that took place in the 1070s. |
Class 3 | The representativeness heuristic | Understand the processes of probability judgments by similarity assessment. |
Class 4 | The availability heuristic | Understand the processes of probability judgment relying on memory traces |
Class 5 | Anchoring and adjustment in judgments of uncertainty | Understand the processes of probability judgment relying on numerical anchoring |
Class 6 | Judgments by hindsight | Understand the functioning of "hindsight bias." |
Class 7 | Students present their understanding and the instructor evaluates each student | The lecturer and the students confirm the advance in their understanding |
Study advice (preparation and review)
To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to textbooks and other course material.
Textbook(s)
Handouts are distributed during lectures
Reference books, course materials, etc.
Handouts are distributed during lectures
Evaluation methods and criteria
In-class learning enthusiasm: 10%
Performance on the final exam: 90%
The percentage of the sum of whole activities shall make the grade point.
Related courses
- LAT.A405 : Cognitive Psychology
- SHS.M448 : Developmental Psychology
Prerequisites
For preparation of active-learning classes, the registration deadline is set at am 00:00, April 7th, 2024. Those who did not make the deadline and yet registered shall receive a dismissal notice from the instructor. To ensure active-learning style, this course requires a "minimum passenger count" of NINE registrations. The class is dismissed otherwise.
Having earned undergraduate credits of introductory psychology courses.
Contact information (e-mail and phone) Notice : Please replace from ”[at]” to ”@”(half-width character).
yamagishi.k.aa&m.titech.ac.jp (please replace the ampersand with "@")
Office hours
Office hours by appointment
Other
This course consists of the content of psychology and economics.