Cognitive Convergence Science
The Cognitive Convergence Science Program is an interdisciplinary curriculum designed to cultivate next-generation convergence experts. Grounded in a scientific understanding of the human brain, mind, and behavior, the program embraces a multidisciplinary approach that spans the humanities, psychology, engineering, medicine, data science, and artificial intelligence.
Serving as a future-oriented educational paradigm to lead the era of advanced brain engineering and AI, this program is expected to become a cradle for nurturing industry-ready, global convergence professionals who will spearhead various sectors of society, including the medical, healthcare, artificial intelligence, and brain-cognitive industries.Grounded in diverse engineering disciplines—such as biosignals, medical imaging, artificial intelligence, and materials engineering—the program focuses on designing and implementing innovative solutions for disease diagnosis and treatment. Through a curriculum centered on theory, hands-on practice, and design, we provide students with practical experience in developing technologies that can be directly applied to real-world clinical environments.
Beyond simple data processing or artificial intelligence utilization, this major aims to cultivate next-generation convergence talents who can precisely define and creatively solve complex problems. This is achieved through a scientific understanding of human intelligence and a convergent design capacity for cutting-edge technologies.
| Year | Semester | Course Name | Note |
|---|---|---|---|
| 2nd | 1 | An introduction to the Cognitive Science | |
| HUMAN PSYCHOLOGY | |||
| Structure and Function of the Brain | |||
| Imaging Data Analysis in Cognitive Science | |||
| Introduction to Probability and Statistics | |||
| CrossDisciplinary Project (CDP) |
Required for primary major. Must be completed at least once during the academic year (1st or 2nd semester). Included in the primary major credit requirement. | ||
| 2 | Theory of Mind and functional Magnetic resonance imaging | ||
| Thinking Errors and Cognitive Treatment | |||
| The use of artificial intelligence | |||
| Neurosicence and Learning Design | |||
| CrossDisciplinary Project (CDP) |
Required for primary major. Must be completed at least once during the academic year (1st or 2nd semester). Included in the primary major credit requirement. | ||
| 3rd | 1 | Big Data Analysis and Medical Statistics | |
| Computational Cognitive | |||
| Sensory Augmentation and Cognitive Science | |||
| Deep Learning and Artificial Intelligence | |||
| InterDisciplinary Project (IDP) |
Required for primary major. Must be completed at least once during the academic year (1st or 2nd semester). Included in the primary major credit requirement. | ||
| 2 | Groups and Psychotherapy | ||
| Applications of the Brain and Sensory Cognition | |||
| Cognitive Development and Neuroscience | |||
| Cognitive Science and AI Convergence: Cognitive Bias and AI Ethics | |||
| Career Development II (Portfolio and Business model Creation) |
Required for primary major, but excluded from the primary major credit requirement. | ||
| InterDisciplinary Project (IDP) |
Required for primary major. Must be completed at least once during the academic year (1st or 2nd semester). Included in the primary major credit requirement. | ||
| 4th | 1 | AI-Intergrated Cognitive Clinical Science | |
| Mind and Machine: The Future of AI-powered Cognitive Systems | |||
| TransDisciplinary Project (TDP) |
Required for primary major (both 1st and 2nd semesters), but excluded from the major credit requirement. | ||
| 2 | HCI & Cognitive Convergence Design | ||
| Computational Cognition and Behavior Analyses |
A minimum of 6 credits from 400-level courses is required.
| Curriculum | Primary Major | Multiple Major | Minor |
|---|---|---|---|
| 2024-2027 | 48 Credits | 36 Credits | 24 Credits |
| Name | Department | Title | |
|---|---|---|---|
| Lee, Hyun Ju | Pediatrics and Adolescent | Professor | blesslee77@hanyang.ac.kr |