Capabilities
\
Core Courses
A. Interpret the principles of causal inference.
B. Analyze a public health problem in terms of magnitude, person, time, and place.
C. Draw appropriate inference from epidemiologic data.
D. Read, understand, and reproduce the results in statistical literature, and to find and correct common mistakes when performing statistical analyses.
E. Use graphics and tables for data representation, and to understand, describe, and conduct different statistical procedures.
F. Accomplish research design regarding a research topic, to appropriately conduct statistical analyses, to do oral presentation, and to communicate the analysis results with experts in other fields and general public.
G. Equip with the research ability (design and conduct a study, data analysis, preventive method and outcome evaluation).
H. Establish the concept of preventive medicine (levels of preventive measures) and utilize biostatistics, epidemiology, disease prevention and various public health knowledge for research design and decision analysis.
I. Understand the role and contents of various disciplines in preventive medicine.
J. Develop evidence-based preventive medicine (include screening and health promotion) to evaluate and promote community health care.
K. Understand human right and ethical issues related to preventive medicine strategies and research.
V. Professional knowledge of public health
W. Health concept of human rights
[A] [B] [C] [D] [E] [F] [G] [H] [I] [J] [K] [V] [W]
Seminar on Epidemiologic Research (Ⅰ)                  
Seminar on Epidemiologic Research (Ⅱ)                  
Thesis (M.S.)      
Study Design of Epidemiology              
Case Study in Epidemiologic Research              
Special Topics in Epidemiology                      
Principles of Epidemiology                
Quantitative Science      
Biomedical Statistics (i-1)                      
Biomedical Statistics M (i-2)                      
Capabilities
\
Core Courses
A. Interpret the principles of causal inference.
B. Analyze a public health problem in terms of magnitude, person, time, and place.
C. Draw appropriate inference from epidemiologic data.
D. Read, understand, and reproduce the results in statistical literature, and to find and correct common mistakes when performing statistical analyses.
E. Use graphics and tables for data representation, and to understand, describe, and conduct different statistical procedures.
F. Accomplish research design regarding a research topic, to appropriately conduct statistical analyses, to do oral presentation, and to communicate the analysis results with experts in other fields and general public.
G. Equip with the research ability (design and conduct a study, data analysis, preventive method and outcome evaluation).
H. Establish the concept of preventive medicine (levels of preventive measures) and utilize biostatistics, epidemiology, disease prevention and various public health knowledge for research design and decision analysis.
I. Understand the role and contents of various disciplines in preventive medicine.
J. Develop evidence-based preventive medicine (include screening and health promotion) to evaluate and promote community health care.
K. Understand human right and ethical issues related to preventive medicine strategies and research.
V. Professional knowledge of public health
W. Health concept of human rights
[A] [B] [C] [D] [E] [F] [G] [H] [I] [J] [K] [V] [W]
Biomedical Statistical Consultation M (1)                      
Biomedical Statistical Consultation M (2)                      
Biomedical Statistical Consultation M (3)                      
Seminar on Biomedical Statistics M (1)                      
Seminar on Biomedical Statistics M (2)                      
Seminar on Biomedical Statistics M (3)                      
Seminar on Biomedical Statistics M (4)                      
Methodology of Preventive Medicine (Ⅰ)                    
Practice in Preventive Medicine                  
Seminar on Preventive Medicine Methods                  
Capabilities
\
Core Courses
A. Interpret the principles of causal inference.
B. Analyze a public health problem in terms of magnitude, person, time, and place.
C. Draw appropriate inference from epidemiologic data.
D. Read, understand, and reproduce the results in statistical literature, and to find and correct common mistakes when performing statistical analyses.
E. Use graphics and tables for data representation, and to understand, describe, and conduct different statistical procedures.
F. Accomplish research design regarding a research topic, to appropriately conduct statistical analyses, to do oral presentation, and to communicate the analysis results with experts in other fields and general public.
G. Equip with the research ability (design and conduct a study, data analysis, preventive method and outcome evaluation).
H. Establish the concept of preventive medicine (levels of preventive measures) and utilize biostatistics, epidemiology, disease prevention and various public health knowledge for research design and decision analysis.
I. Understand the role and contents of various disciplines in preventive medicine.
J. Develop evidence-based preventive medicine (include screening and health promotion) to evaluate and promote community health care.
K. Understand human right and ethical issues related to preventive medicine strategies and research.
V. Professional knowledge of public health
W. Health concept of human rights
[A] [B] [C] [D] [E] [F] [G] [H] [I] [J] [K] [V] [W]
Thesis Writing on Preventive Medicine                  
Introduction to Preventive Medicine                  
Seminar on Practice of Preventive Medicine                  
Principle of Genetic Epidemiology                    
Seminar in Psychiatric Epidemiology                    
Advanced Epidemiology of Infectious Disease                    
Cancer Epidemiology                  
Environment and Tropical Diseases                    
Molecular Biology of Cancer                    
Psychiatric Disorders and Psychopathology                    
Capabilities
\
Core Courses
A. Interpret the principles of causal inference.
B. Analyze a public health problem in terms of magnitude, person, time, and place.
C. Draw appropriate inference from epidemiologic data.
D. Read, understand, and reproduce the results in statistical literature, and to find and correct common mistakes when performing statistical analyses.
E. Use graphics and tables for data representation, and to understand, describe, and conduct different statistical procedures.
F. Accomplish research design regarding a research topic, to appropriately conduct statistical analyses, to do oral presentation, and to communicate the analysis results with experts in other fields and general public.
G. Equip with the research ability (design and conduct a study, data analysis, preventive method and outcome evaluation).
H. Establish the concept of preventive medicine (levels of preventive measures) and utilize biostatistics, epidemiology, disease prevention and various public health knowledge for research design and decision analysis.
I. Understand the role and contents of various disciplines in preventive medicine.
J. Develop evidence-based preventive medicine (include screening and health promotion) to evaluate and promote community health care.
K. Understand human right and ethical issues related to preventive medicine strategies and research.
V. Professional knowledge of public health
W. Health concept of human rights
[A] [B] [C] [D] [E] [F] [G] [H] [I] [J] [K] [V] [W]
Event History Analysis                    
Epidemiology of Emerging Infectious Disease and Control Strategies                    
Biostatistics in Research Method                      
Qualitative Research and Disease Prevention                  
Special Topics in Preventive Medicine                  
Special Topics in Preventive Medicine                  
Special Topics in Preventive Medicine                  
Special Topics in Preventive Medicine                  
Pharmacoepidemiology                      
Community Medicine and Primary Health Care                    
Capabilities
\
Core Courses
A. Interpret the principles of causal inference.
B. Analyze a public health problem in terms of magnitude, person, time, and place.
C. Draw appropriate inference from epidemiologic data.
D. Read, understand, and reproduce the results in statistical literature, and to find and correct common mistakes when performing statistical analyses.
E. Use graphics and tables for data representation, and to understand, describe, and conduct different statistical procedures.
F. Accomplish research design regarding a research topic, to appropriately conduct statistical analyses, to do oral presentation, and to communicate the analysis results with experts in other fields and general public.
G. Equip with the research ability (design and conduct a study, data analysis, preventive method and outcome evaluation).
H. Establish the concept of preventive medicine (levels of preventive measures) and utilize biostatistics, epidemiology, disease prevention and various public health knowledge for research design and decision analysis.
I. Understand the role and contents of various disciplines in preventive medicine.
J. Develop evidence-based preventive medicine (include screening and health promotion) to evaluate and promote community health care.
K. Understand human right and ethical issues related to preventive medicine strategies and research.
V. Professional knowledge of public health
W. Health concept of human rights
[A] [B] [C] [D] [E] [F] [G] [H] [I] [J] [K] [V] [W]
Emergency Medical Services and Disaster Response Systems                    
Clinical Trial                    
Complementary Alternative Medicine in Preventive Medicine                    
Seminar on Community Medicine                  
Quantitative Method of Genomic Research                    
Preventive Medicine of Cardiovascular Disease                  
Preventive Medicine of Chronic Disease                  
Principles of Epidemiology: Practice of Data Analysis                    
Special Topics in Genomic Studies                      
Genetic Statistics                      
Capabilities
\
Core Courses
A. Interpret the principles of causal inference.
B. Analyze a public health problem in terms of magnitude, person, time, and place.
C. Draw appropriate inference from epidemiologic data.
D. Read, understand, and reproduce the results in statistical literature, and to find and correct common mistakes when performing statistical analyses.
E. Use graphics and tables for data representation, and to understand, describe, and conduct different statistical procedures.
F. Accomplish research design regarding a research topic, to appropriately conduct statistical analyses, to do oral presentation, and to communicate the analysis results with experts in other fields and general public.
G. Equip with the research ability (design and conduct a study, data analysis, preventive method and outcome evaluation).
H. Establish the concept of preventive medicine (levels of preventive measures) and utilize biostatistics, epidemiology, disease prevention and various public health knowledge for research design and decision analysis.
I. Understand the role and contents of various disciplines in preventive medicine.
J. Develop evidence-based preventive medicine (include screening and health promotion) to evaluate and promote community health care.
K. Understand human right and ethical issues related to preventive medicine strategies and research.
V. Professional knowledge of public health
W. Health concept of human rights
[A] [B] [C] [D] [E] [F] [G] [H] [I] [J] [K] [V] [W]
Survival Analysis                      
Advanced Biostatistical Methods                      
Seminar on Chronic Infectious Diseases Control                    
Advanced Genetic Statistics                      
Statistics in Disease Screening                      
Epidemiologic Study of Aging and the Elderly                      
Time Series Analysis                      
Review of Contemporary Public Health Events in Taiwan                    
Public Health Leadership and Entrepreneurship                          
Applied Biostatistics (A)                    
Capabilities
\
Core Courses
A. Interpret the principles of causal inference.
B. Analyze a public health problem in terms of magnitude, person, time, and place.
C. Draw appropriate inference from epidemiologic data.
D. Read, understand, and reproduce the results in statistical literature, and to find and correct common mistakes when performing statistical analyses.
E. Use graphics and tables for data representation, and to understand, describe, and conduct different statistical procedures.
F. Accomplish research design regarding a research topic, to appropriately conduct statistical analyses, to do oral presentation, and to communicate the analysis results with experts in other fields and general public.
G. Equip with the research ability (design and conduct a study, data analysis, preventive method and outcome evaluation).
H. Establish the concept of preventive medicine (levels of preventive measures) and utilize biostatistics, epidemiology, disease prevention and various public health knowledge for research design and decision analysis.
I. Understand the role and contents of various disciplines in preventive medicine.
J. Develop evidence-based preventive medicine (include screening and health promotion) to evaluate and promote community health care.
K. Understand human right and ethical issues related to preventive medicine strategies and research.
V. Professional knowledge of public health
W. Health concept of human rights
[A] [B] [C] [D] [E] [F] [G] [H] [I] [J] [K] [V] [W]
Practice and Case Studies in Quantitative Global Health                      
Contemporary addiction problems in Taiwan                        
Introduction to Public Health                
Applied Bayesian Statistical Methods                  
Advanced Theory of Preventive Medicine                      
Statistical and Machine Learning                  
Critical Appraisal of Preventive Medicine Methods                  
Advanced Aanalytical Methods for Meta-analysis                  
Causal Inference                      
Seminar on Epidemiology            
Capabilities
\
Core Courses
A. Interpret the principles of causal inference.
B. Analyze a public health problem in terms of magnitude, person, time, and place.
C. Draw appropriate inference from epidemiologic data.
D. Read, understand, and reproduce the results in statistical literature, and to find and correct common mistakes when performing statistical analyses.
E. Use graphics and tables for data representation, and to understand, describe, and conduct different statistical procedures.
F. Accomplish research design regarding a research topic, to appropriately conduct statistical analyses, to do oral presentation, and to communicate the analysis results with experts in other fields and general public.
G. Equip with the research ability (design and conduct a study, data analysis, preventive method and outcome evaluation).
H. Establish the concept of preventive medicine (levels of preventive measures) and utilize biostatistics, epidemiology, disease prevention and various public health knowledge for research design and decision analysis.
I. Understand the role and contents of various disciplines in preventive medicine.
J. Develop evidence-based preventive medicine (include screening and health promotion) to evaluate and promote community health care.
K. Understand human right and ethical issues related to preventive medicine strategies and research.
V. Professional knowledge of public health
W. Health concept of human rights
[A] [B] [C] [D] [E] [F] [G] [H] [I] [J] [K] [V] [W]
Seminar on Epidemiologic Research                  
Special Seminar on Preventive Medicine (Ⅰ)              
Special Seminar on Preventive Medicine (Ⅱ)      
Applied Biostatistics                      
Substance Use and Public Health                      
Contemporary Research Topics in Epidemiology                    
Case Studies in Infectious Disease Control                      
Nutritional Epidemiology                      
Biostatistics (Ⅰ)                      
Biostatistics (Ⅱ)                      
Capabilities
\
Core Courses
A. Interpret the principles of causal inference.
B. Analyze a public health problem in terms of magnitude, person, time, and place.
C. Draw appropriate inference from epidemiologic data.
D. Read, understand, and reproduce the results in statistical literature, and to find and correct common mistakes when performing statistical analyses.
E. Use graphics and tables for data representation, and to understand, describe, and conduct different statistical procedures.
F. Accomplish research design regarding a research topic, to appropriately conduct statistical analyses, to do oral presentation, and to communicate the analysis results with experts in other fields and general public.
G. Equip with the research ability (design and conduct a study, data analysis, preventive method and outcome evaluation).
H. Establish the concept of preventive medicine (levels of preventive measures) and utilize biostatistics, epidemiology, disease prevention and various public health knowledge for research design and decision analysis.
I. Understand the role and contents of various disciplines in preventive medicine.
J. Develop evidence-based preventive medicine (include screening and health promotion) to evaluate and promote community health care.
K. Understand human right and ethical issues related to preventive medicine strategies and research.
V. Professional knowledge of public health
W. Health concept of human rights
[A] [B] [C] [D] [E] [F] [G] [H] [I] [J] [K] [V] [W]
Control Strategies for Infectious Disease in Taiwan                      
Methods in Descriptive Epidemiology                      
Special Topics in Case Control Methodology                      
Clinical Epidemiology                  
Introduction to Mental Health                      
Seminar on New Emerging Vector-borne and Zoonotic Diseases                      
Laboratory Diagnosis of Reportable Diseases in Taiwan                      
Modeling of Infectious Diseases Epidemiology                      
Applied Multivariate Quantitative Methods                      
Applied Bayesian Statistical Analysis                      
Capabilities
\
Core Courses
A. Interpret the principles of causal inference.
B. Analyze a public health problem in terms of magnitude, person, time, and place.
C. Draw appropriate inference from epidemiologic data.
D. Read, understand, and reproduce the results in statistical literature, and to find and correct common mistakes when performing statistical analyses.
E. Use graphics and tables for data representation, and to understand, describe, and conduct different statistical procedures.
F. Accomplish research design regarding a research topic, to appropriately conduct statistical analyses, to do oral presentation, and to communicate the analysis results with experts in other fields and general public.
G. Equip with the research ability (design and conduct a study, data analysis, preventive method and outcome evaluation).
H. Establish the concept of preventive medicine (levels of preventive measures) and utilize biostatistics, epidemiology, disease prevention and various public health knowledge for research design and decision analysis.
I. Understand the role and contents of various disciplines in preventive medicine.
J. Develop evidence-based preventive medicine (include screening and health promotion) to evaluate and promote community health care.
K. Understand human right and ethical issues related to preventive medicine strategies and research.
V. Professional knowledge of public health
W. Health concept of human rights
[A] [B] [C] [D] [E] [F] [G] [H] [I] [J] [K] [V] [W]
Issues in Epidemiological Research on Affective Disorders                      
Principles of Statistics                      
Epidemiology in Children’s Health                      
Fundamentals of English Writing                        
Secondary Health Data-Application and Practice                      
Computing in Epidemiology and Biostatistics                      
Statistical Analysis for Repeated Measurements                      
Categorical Data Analysis                      
Nutrition and Health                      
Epidemiology:An Introduction                      
Capabilities
\
Core Courses
A. Interpret the principles of causal inference.
B. Analyze a public health problem in terms of magnitude, person, time, and place.
C. Draw appropriate inference from epidemiologic data.
D. Read, understand, and reproduce the results in statistical literature, and to find and correct common mistakes when performing statistical analyses.
E. Use graphics and tables for data representation, and to understand, describe, and conduct different statistical procedures.
F. Accomplish research design regarding a research topic, to appropriately conduct statistical analyses, to do oral presentation, and to communicate the analysis results with experts in other fields and general public.
G. Equip with the research ability (design and conduct a study, data analysis, preventive method and outcome evaluation).
H. Establish the concept of preventive medicine (levels of preventive measures) and utilize biostatistics, epidemiology, disease prevention and various public health knowledge for research design and decision analysis.
I. Understand the role and contents of various disciplines in preventive medicine.
J. Develop evidence-based preventive medicine (include screening and health promotion) to evaluate and promote community health care.
K. Understand human right and ethical issues related to preventive medicine strategies and research.
V. Professional knowledge of public health
W. Health concept of human rights
[A] [B] [C] [D] [E] [F] [G] [H] [I] [J] [K] [V] [W]
Epidemiology of Chronic Disease                  
Introduction and Application of Computational Biology Methods                      
Geriatric Healthcare                      
Health Data and Application Software                      
Public Health Leadership and Entrepreneurship                        
Communicable disease control and prevention: Ethics and Regulations                      
Communicable disease control and prevention: Ethics and Regulations II                        
Applied Biostatistics (B)                    
Application and Analysis in Biostatistics - R                        
Mood Disorders and Public Health        
Capabilities
\
Core Courses
A. Interpret the principles of causal inference.
B. Analyze a public health problem in terms of magnitude, person, time, and place.
C. Draw appropriate inference from epidemiologic data.
D. Read, understand, and reproduce the results in statistical literature, and to find and correct common mistakes when performing statistical analyses.
E. Use graphics and tables for data representation, and to understand, describe, and conduct different statistical procedures.
F. Accomplish research design regarding a research topic, to appropriately conduct statistical analyses, to do oral presentation, and to communicate the analysis results with experts in other fields and general public.
G. Equip with the research ability (design and conduct a study, data analysis, preventive method and outcome evaluation).
H. Establish the concept of preventive medicine (levels of preventive measures) and utilize biostatistics, epidemiology, disease prevention and various public health knowledge for research design and decision analysis.
I. Understand the role and contents of various disciplines in preventive medicine.
J. Develop evidence-based preventive medicine (include screening and health promotion) to evaluate and promote community health care.
K. Understand human right and ethical issues related to preventive medicine strategies and research.
V. Professional knowledge of public health
W. Health concept of human rights
[A] [B] [C] [D] [E] [F] [G] [H] [I] [J] [K] [V] [W]
Measuring burden of disease: methods and applications                  
Statistical Analysis of Genetic Data              
Epidemiologic Study of Aging and the Elderly              
Cancer Registration and Cancer Statistics                  
Evidence-based Public Health Nutrition      
High-Dimensional Statistical Methods              
Molecular Epidemiology in Infectious Diseases                  
Introduction to Meta-analysis                    
Vaccinology                  
Genetics and Medicine in Population Health                    
Capabilities
\
Core Courses
A. Interpret the principles of causal inference.
B. Analyze a public health problem in terms of magnitude, person, time, and place.
C. Draw appropriate inference from epidemiologic data.
D. Read, understand, and reproduce the results in statistical literature, and to find and correct common mistakes when performing statistical analyses.
E. Use graphics and tables for data representation, and to understand, describe, and conduct different statistical procedures.
F. Accomplish research design regarding a research topic, to appropriately conduct statistical analyses, to do oral presentation, and to communicate the analysis results with experts in other fields and general public.
G. Equip with the research ability (design and conduct a study, data analysis, preventive method and outcome evaluation).
H. Establish the concept of preventive medicine (levels of preventive measures) and utilize biostatistics, epidemiology, disease prevention and various public health knowledge for research design and decision analysis.
I. Understand the role and contents of various disciplines in preventive medicine.
J. Develop evidence-based preventive medicine (include screening and health promotion) to evaluate and promote community health care.
K. Understand human right and ethical issues related to preventive medicine strategies and research.
V. Professional knowledge of public health
W. Health concept of human rights
[A] [B] [C] [D] [E] [F] [G] [H] [I] [J] [K] [V] [W]
Infectious Disease Control Policy: Challenges for Taiwan and the World                  
Vaccine Policy and Immunization Practices                      
Analysis And Software Practice For Health Database                  
R programming and application to Public Health data                
Scientific Attitude-Social Responsibility To Face Challeges Of Epidemics                      
Core Capabilities A
Interpret the principles of causal inference.
B
Analyze a public health problem in terms of magnitude, person, time, and place.
C
Draw appropriate inference from epidemiologic data.
D
Read, understand, and reproduce the results in statistical literature, and to find and correct common mistakes when performing statistical analyses.
E
Use graphics and tables for data representation, and to understand, describe, and conduct different statistical procedures.
F
Accomplish research design regarding a research topic, to appropriately conduct statistical analyses, to do oral presentation, and to communicate the analysis results with experts in other fields and general public.
G
Equip with the research ability (design and conduct a study, data analysis, preventive method and outcome evaluation).
H
Establish the concept of preventive medicine (levels of preventive measures) and utilize biostatistics, epidemiology, disease prevention and various public health knowledge for research design and decision analysis.
I
Understand the role and contents of various disciplines in preventive medicine.
J
Develop evidence-based preventive medicine (include screening and health promotion) to evaluate and promote community health care.
K
Understand human right and ethical issues related to preventive medicine strategies and research.
V
Professional knowledge of public health
W
Health concept of human rights
Number of Core Courses
(Number of All Courses: 125)
37 28 63 52 52 59 17 27 22 22 19 2 0