| Research Ethics (Required) |
Focuses on experimental and animal ethics, copyright ethics,
and research note management ethics. |
2 |
| Medical Science Communication (Required) |
Covers English academic paper writing, presentation
preparation, and delivery techniques. |
2 |
| Applied Medical Research Methodology (Required) |
Aims to cultivate research capabilities by teaching scientific
methodologies in medicine. Specifically, it provides tools for planning and
conducting various types of research (e.g., descriptive, risk factor, genetic
analysis, diagnostic evaluation, clinical trials, and health service research)
while addressing methodological challenges. |
2 |
| AI Programming for Convergence Research (Required) |
A practice-oriented course for understanding AI technology and
programming machine learning/deep learning models. It covers data processing,
neural networks, and optimization techniques, focusing on AI algorithms
applicable to convergence research in bio, medicine, and engineering. |
3 |
| Bio-Medical Informatics (Required) |
Explores biomedical informatics, including EMR-based
pharmacoepidemiology, clinical database construction, bioinformatics-based
disease mechanism research (e.g., cancer), diagnosis/prognosis prediction, and
drug repositioning. |
3 |
| Structure and Function of the Human Body (Required) |
Provides an understanding of the macroscopic structure of the
human body, organ systems, and functional relationships, while exploring the
connection between physiological functions and the pathology of diseases. |
3 |
| Integrated Digital Biomedical Science |
Covers trends in digital-based biomedical research, including
bio big data analysis, AI-based precision medicine, and digital healthcare.
Practice includes genomic/proteomic data integration, medical imaging analysis,
and bio-simulation. |
3 |
| Telemedicine and Biotechnology |
Explores the fusion of telemedicine systems and biotechnology,
covering AI-based diagnosis, wearable sensors, and remote monitoring. Includes
practical exercises on the latest telemedicine platforms and bio-data
processing. |
3 |
| Biomedical Artificial Intelligence |
Teaches bio and medical data analysis using AI (ML/DL-based
diagnosis, drug discovery, etc.) with genomics, medical imaging, and clinical
data. Cultivates practical skills for the bio-health industry by exploring
medical AI principles. |
3 |
| Medical Big Data and Digital Transformation |
Focuses on medical big data analysis and the latest digital
transformation technologies. Analyzes EMR, genomic data, and wearable health
data to study applications for precision medicine and smart healthcare. |
3 |