Education Objectives
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To recruit and develop talents for translational research and management.
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To promote translational research for the development of industrial biotechnology and conducting clinical trials on the global stage.
Require
1. Research ethics
- Syllabus：
- To introduce basic knowledge of research ethics.
- To understand humanity and social issues of research ethics.
- To develop critical thinking about research ethics issues.
- To apply ideas and principles of research ethics to personal work or research.
- Credits：0
- Language： English
- Others：Required to complete Research ethics course once before graduation.
2. Seminar
- Syllabus：
- Each week, a student should make an oral presentation which is related to the previous lecture. There is 40 minutes for presentation and 10 minutes for discussion.
- We will invite the teachers in our program to join the seminar (a teacher from Academia Sinica and a teacher of National Taiwan University or Kaohsiung Medical University invited by presented student) to serve as committees. Papers/references will be provided by teachers in this course.
- The committees and other students will give a scores based on the performance of presented student in oral presentation and discussion.
- Credits：4
- Semester：Each semester 1 credit in Grade 1 and 2
- Language：English
3. Principle of translational science
- Syllabus：
- This course provides topics on the principles and updated information of drug development, as well as application of biological drugs.
- Our goal is to bring the current studies and development on different kinds of drugs in one lecture.
- Credits：2
- Semester：Grade 1, First Semester
- Language：English
4. Cell biology & artificial intelligence in biomedical informatics
- Syllabus：This course is designed to provide opportunities for graduate students learning and familiarizing more about “cell biology and artificial intelligence in biomedical informatics”.
- Credits：2
- Semester：Grade 1, Second Semester
- Language：English
5. Advanced Techniques for Translational Research
- Syllabus：This course aims to introduce techniques which play important roles in the current translational research to students.
- Credits：2
- Semester：Grade 1, Second Semester
- Language：English
6. Special topics in processing & translational research of medical science & technology
- Syllabus：We will provide the students the latest findings in biotechnology and translational medicine, enabling students to understand how to integrate the clinical medical needs and basic research.
- Credits：2
- Semester：Grade 2, First Semester
- Language：English
7. Dissertation
- Syllabus：based on individual guidance professor.
- Credits：12
- Language：English
- Other： Need to take the course in the graduation semester
Elective
1. Experimental design & research methods
- Syllabus：
- The purpose of this course is to provide a series of basic yet essential lectures (1)describing how to design a research project and (2)introducing commonly used research methods and techniques to perform the experiments required in projects of different fields of studies.
- Assessment method: 30% of attendance rate , 70% of oral report or written report.
- Credits：2
- Semester：Grade 1, First Semester
- Language：English
2. Animal models of disease research
- Syllabus：
- The students will learn the induction abilities and surgery methods in disease animal model. The neurological animal model will include spinal cord injury, Parkinson”s disease, traumatic brain injury and seizure.
- Multiple assessment: instrument operation, oral and literal expression.
- Credits：2
- Semester：Grade 1, First Semester
- Language：English
3. Epigeneticsle Title
- Syllabus：
- Epigenetics is a discipline of biology related to genetic changes in gene expression or cellular phenotype. It refers to functionally relevantmodifications to the genome involving in gene expression, regulation, and genetics in cancer biology, immunology, and other disease.
- This class encourages students to familiar with the concepts and methods of epigenetics, and develops students” ability to apply this novel science to research.
- Assessment method: Attendance rate 30%,Individual report 70%.
- Credits：2
- Semester：Grade 1, First Semester
- Language：English
4. Medical decision support
- Syllabus：
- Paper discussion on issues related to clinical decision support systems and project presentations.
- Assessment method: Attendance rate 20%,Individual report 40%, group report 40%.
- Credits：2
- Semester：Grade 1, First Semester
- Language：English
5. Bioinformatics in precision medicine
- Syllabus：
- This course is to establish and familiarise graduates fundamental knowledge in bioinformatics.
- It includes genomics, proteomoics, transcriptomics, informatics, databases and high throughput data, such as microarray, GWAS and next generation sequencing.
- After one semester studies in this course, the students will gain the basic bioinformatics domain knowledge and appreciate the significant meaning what rapidly progressing biotechnologies have brought to us and shaped our life.
- Assessment method: Attendance rate 30%,Individual report 30%, Quiz 20%, Other-performance, discussion in the class 20%
- Credits：2
- Semester：Grade 1, First Semester
- Language：English
6. Stem cell translational research & therapeuticsTitle
- Syllabus：
- This course provides insights into both basic stem cell biology and clinical applications of stem cell-based cell replacement therapies for a variety of human diseases, including cardiovascular diseases, neurological disorders, and liver degeneration.
- It also covers novel technologies for the culture and differentiation of both human embryonic stem cells and adult tissue stem cells.
- In class lectures will be followed by student presentations of papers assigned by lecturer.
- Assessment method: Attendance rate 10%,Individual report 50%, Final exam 40%
- Credits：2
- Semester：Grade 1, First Semester
- Language：English
7. Applied biostatistics
- Syllabus：
- The purpose of this course is to introduce the concept of statistics in health service research.
- Upon completion of this course, the student will be able to 1. Organize, summarize, and describe data in a scientific manner. 2. Understand basic probability concepts. 3. Differentiate between descriptive and inferential statistics. 4. Estimate parameters and use statistical inference techniques for means and proportions. 5. Recognize when advanced multivariate statistics are required. 6. Criticize analytic procedures in a medical article. 7. Analyze real data in a practical situati
- Assessment method: Attendance rate 30%, Mid-term exam 35%, Final exam 40%
- Credits：2
- Semester：Grade 1, Second Semester
- Language：English
8. Machine learning & deep learning
- Syllabus：
- The course is divided into three parts: I. Introduce data analysis and statistics. II. Introduce MATLAB about operating and editing. III. Explain the concept about Machine learning and Deep learning, and related clinical application.
- Assessment method: Attendance rate 10%, Individual report 40%, Home-work 40%, Other 10%
- Credits：2
- Semester：Grade 1, Second Semester
- Language：English
Master’s Program
Requirements for Master Degree Program in the Graduate Institute of Biomedical Informatics
Master Degree – List of Courses
Graduation Requirements
– Take a minimum of 30 credits of lecture courses and an additional 6 credits of thesis.
– Pass proposal defense.
– Publish 1 international conference paper or 1 journal paper.
– Pass thesis defense.
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