Leading to a Bachelor of Arts, the study of decision making at Brown covers descriptive questions like how people, institutions, and nations make judgments and decisions; normative questions about rationality, such as what constitutes the best judgments and decisions; and prescriptive questions, such as how the process of decision making can be improved to make actual decisions closer to optimal ones. By virtue of its broad interdisciplinary nature, the study of decision making covers work found in a variety of more traditional disciplines including psychology, cognitive science, economics, philosophy, computer science, and neuroscience. Professor Steven Sloman is the concentration advisor. (David Yokum will be acting concentration advisor from January 2020 to December 2020). Upon declaring, concentrators are also encouraged to speak with the appropriate area specialist from among those listed here.
Standard Program for the AB Degree
| CLPS Classes: | ||
| CLPS 0220 | Making Decisions | 1 |
| Choose one of the following: | 1 | |
| Cognitive Neuroscience | ||
| Human Cognition | ||
| Social Psychology | ||
| Choose two of the following: | 2 | |
| Mechanisms of Motivated Decision Making | ||
| Affective Neuroscience | ||
| Psychology in Business and Economics | ||
| The Moral Brain | ||
| Distribution Requirements: | ||
| Select one Introductory Course from the following: | 1 | |
| Principles of Economics | ||
| Introduction to Scientific Computing and Problem Solving 1 | ||
or CSCI 0150 | Introduction to Object-Oriented Programming and Computer Science | |
or CSCI 0170 | Computer Science: An Integrated Introduction | |
or CSCI 0180 | Computer Science: An Integrated Introduction | |
or CSCI 0190 | Accelerated Introduction to Computer Science | |
| Select Two Advanced Courses From: | 2 | |
| Artificial Intelligence | ||
| Machine Learning | ||
| Intermediate Microeconomics | ||
or ECON 1130 | Intermediate Microeconomics (Mathematical) | |
| Big Data | ||
| Theory of Behavioral Economics | ||
| Game Theory and Applications to Economics | ||
| Philosophy of Economics | ||
| Decision Theory: Foundations and Applications | ||
| Methods Classes: | ||
| Choose One From the Following: | 1 | |
| Essential Statistics | ||
| Statistical Inference I | ||
| Statistical Methods | ||
| Data Fluency for All | ||
| Probability for Computing and Data Analysis | ||
| Introduction to Econometrics | ||
| Plus One of the Following: | 1 | |
| Laboratory in Social Cognition | ||
| Introduction to Object-Oriented Programming and Computer Science 1 | ||
| Computer Science: An Integrated Introduction 1 | ||
| Applied Research Methods for Economists | ||
| Mathematical Econometrics I | ||
| Logic | ||
| Electives: | 3 | |
| Students will choose three additional courses in consultation with a concentration advisor that will constiture an integraded specialization in some area of decision science. Such courses might include, but are not limited to: | ||
| Psychology and Cognitive Science | ||
| Introduction to programming | ||
| Introduction to Programming for the Mind, Brain and Behavior | ||
| Pragmatics | ||
| Directed Reading in Cognitive, Linguistic and Psychological Sciences | ||
| Economics: | ||
| Theory of Behavioral Economics | ||
| Game Theory and Applications to Economics | ||
| Applied Mathematics: | ||
| Introduction to Modelling | ||
| Computational Probability and Statistics | ||
| Theory of Probability II | ||
| Neural Dynamics: Theory and Modeling | ||
| Philosophy: | ||
| Moral Philosophy | ||
| Moral Theories | ||
| Epistemology | ||
| Computer Science: | ||
| Computer Vision | ||
| Computational Linguistics | ||
| Data Science | ||
| Political Science: | ||
| Polarized Politics | ||
| Prosperity: The Ethics and Economics of Wealth Creation | ||
| International Negotiation and Conflict Resolution | ||
| Public Health: | ||
PHP 1740 | Principles of Health Behavior and Health Promotion Interventions | |
| Capstone: | 1 | |
| Fall seminar in which students write an integrative paper or do a project covering their areas of study in their senior year. | ||
| Total Credits | 13 | |
| 1 | Students may not use the same course to satisfy both the Introductory and Methods course requirements. |
Students will be expected to take no more than 6 courses below the 1000-level within the concentration. Students with multiple concentrations may not apply more than 2 courses from a second concentration to the AB in Behavioral Decision Sciences. No more than 2 courses can be transferred from another institution to count toward concentration credit.
Honors
Students interested in honors should identify a faculty honor's sponsor and sign up with the concentration advisor during Semester 6. Although there is no minimum grade point average to enter the program, admission to the program is limited to students who have accumulated a strong academic record, and show evidence that they will meet the program's requirements. It is expected that honors candidates will conduct a year-long research project under the direction of a faculty sponsor culminating in a written thesis at the end of Semester 8. Honors theses can serve to satisfy the capstone requirement, although honors students are expected to attend the capstone seminar in the fall of their senior year.