Capabilities
\
Core Courses
A. Demonstration of the abilities in understanding key concepts and solving problems in agronomy-related sub-disciplines: crop breeding, crop physiology and cultivation, crop biotechnology, biometrics and bioinfomatics.
B. Laboratory and field practices and data analysis.
C. Understanding the relationship between agronomy and related disciplines such as biochemistry, environmental science, ecology, information science
D. Demonstration of the ability in integreting previous studies in advanced classes.
E. Ability in literature review and paper writing.
F. Knowledge and skills in the curriculum used in research and innovation
G. Communication of ideas in oral presentation and in writing.
H. Team work
[A] [B] [C] [D] [E] [F] [G] [H]
Thesis (M.S.) ◎ ◎ ◎ ◎ ◎ ◎ ◎  
Research ◎ ◎ ◎ ◎ ◎ ◎ ◎ ◎
Seminar ◎ ◎ ◎ ◎ ◎ ◎ ◎ ◎
Advanced Crop Science ◎   ◎ ◎ ◎ ◎ ◎  
Advanced Crop Physiology ◎   ◎ ◎ ◎   ◎  
Advanced Plant Breeding ◎ ◎   ◎       ◎
Research Method in Crop Breeding ◎ ◎ ◎ ◎ ◎ ◎   ◎
Crop Dna Manipulation Lab.   ◎         ◎ ◎
Statistical Theory (Ⅰ) ◎     ◎   ◎    
Nonparametric Statistics ◎ ◎ ◎ ◎ ◎ ◎ ◎ ◎
Capabilities
\
Core Courses
A. Demonstration of the abilities in understanding key concepts and solving problems in agronomy-related sub-disciplines: crop breeding, crop physiology and cultivation, crop biotechnology, biometrics and bioinfomatics.
B. Laboratory and field practices and data analysis.
C. Understanding the relationship between agronomy and related disciplines such as biochemistry, environmental science, ecology, information science
D. Demonstration of the ability in integreting previous studies in advanced classes.
E. Ability in literature review and paper writing.
F. Knowledge and skills in the curriculum used in research and innovation
G. Communication of ideas in oral presentation and in writing.
H. Team work
[A] [B] [C] [D] [E] [F] [G] [H]
Advanced Experimental Design ◎     ◎        
Advanced Experimental Design Lab. ◎     ◎        
Linear Models ◎ ◎ ◎ ◎        
Statistical Theory (Ⅱ) ◎     ◎   ◎    
Statistical Computing ◎   ◎ ◎ ◎ ◎    
Research Methodology of Crop Physiology ◎ ◎ ◎ ◎ ◎ ◎    
Advanced Plant Genomics ◎     ◎ ◎   ◎ ◎
Bioinformatics ◎     ◎   ◎ ◎  
Advanced Genetics       ◎        
Method of Advanced Biometrics (Ⅰ) ◎     ◎        
Capabilities
\
Core Courses
A. Demonstration of the abilities in understanding key concepts and solving problems in agronomy-related sub-disciplines: crop breeding, crop physiology and cultivation, crop biotechnology, biometrics and bioinfomatics.
B. Laboratory and field practices and data analysis.
C. Understanding the relationship between agronomy and related disciplines such as biochemistry, environmental science, ecology, information science
D. Demonstration of the ability in integreting previous studies in advanced classes.
E. Ability in literature review and paper writing.
F. Knowledge and skills in the curriculum used in research and innovation
G. Communication of ideas in oral presentation and in writing.
H. Team work
[A] [B] [C] [D] [E] [F] [G] [H]
Method of Advanced Biometrics (Ⅱ) ◎     ◎        
Crop Growth and Development ◎   ◎ ◎ ◎   ◎  
Quantitative Genetics ◎ ◎   ◎        
Plant Breeding for Disease Resistance ◎   ◎ ◎ ◎ ◎ ◎  
Molecular Genetics ◎   ◎ ◎   ◎    
Data Analysis for Plant Breeding Experiments ◎ ◎   ◎        
Plant Molecular Breeding       ◎ ◎     ◎
Statistical Consulting (Ⅰ) ◎ ◎ ◎ ◎ ◎ ◎ ◎ ◎
Statistical Methods in Biological Assay ◎ ◎ ◎ ◎ ◎ ◎ ◎ ◎
Plant Cell and Tissue Culture ◎   ◎ ◎   ◎    
Capabilities
\
Core Courses
A. Demonstration of the abilities in understanding key concepts and solving problems in agronomy-related sub-disciplines: crop breeding, crop physiology and cultivation, crop biotechnology, biometrics and bioinfomatics.
B. Laboratory and field practices and data analysis.
C. Understanding the relationship between agronomy and related disciplines such as biochemistry, environmental science, ecology, information science
D. Demonstration of the ability in integreting previous studies in advanced classes.
E. Ability in literature review and paper writing.
F. Knowledge and skills in the curriculum used in research and innovation
G. Communication of ideas in oral presentation and in writing.
H. Team work
[A] [B] [C] [D] [E] [F] [G] [H]
Plant Cell and Tissue Culture Lab.   ◎ ◎ ◎   ◎ ◎ ◎
Aromatic & Spice Plants ◎             ◎
Turfgrass Physiology ◎   ◎   ◎      
Management of Biotechnologcially Modified Plants ◎   ◎ ◎ ◎ ◎ ◎ ◎
Introductory Crop Functional Genomics ◎   ◎ ◎ ◎   ◎  
Plant Photo-physiological Ecology ◎   ◎       ◎  
Coffee Culture ◎ ◎ ◎ ◎   ◎ ◎ ◎
Sampling Methods ◎              
Statistical Computations and Analysis   ◎         ◎  
Statistical Method for Biotechmolgy Product (Ⅱ) ◎ ◎ ◎ ◎ ◎ ◎ ◎ ◎
Capabilities
\
Core Courses
A. Demonstration of the abilities in understanding key concepts and solving problems in agronomy-related sub-disciplines: crop breeding, crop physiology and cultivation, crop biotechnology, biometrics and bioinfomatics.
B. Laboratory and field practices and data analysis.
C. Understanding the relationship between agronomy and related disciplines such as biochemistry, environmental science, ecology, information science
D. Demonstration of the ability in integreting previous studies in advanced classes.
E. Ability in literature review and paper writing.
F. Knowledge and skills in the curriculum used in research and innovation
G. Communication of ideas in oral presentation and in writing.
H. Team work
[A] [B] [C] [D] [E] [F] [G] [H]
Statistical Analysis for Genomic Data ◎ ◎ ◎ ◎ ◎ ◎ ◎  
Introduction to Bioinformatics ◎           ◎ ◎
Rice Culture ◎   ◎          
Plant Genomics ◎   ◎ ◎ ◎ ◎ ◎ ◎
Applied Multivariate Statistical Methods ◎ ◎ ◎ ◎ ◎ ◎ ◎ ◎
Devepolmehtal Genetics of Plants ◎   ◎ ◎ ◎ ◎ ◎  
Introduction to Computational Biology ◎ ◎ ◎ ◎ ◎ ◎ ◎  
Management and Practice of Organic Agriculture   ◎           ◎
Cell Biology ◎   ◎     ◎    
Fundamental Statistical Methods and Data Analysis ◎ ◎     ◎ ◎ ◎ ◎
Capabilities
\
Core Courses
A. Demonstration of the abilities in understanding key concepts and solving problems in agronomy-related sub-disciplines: crop breeding, crop physiology and cultivation, crop biotechnology, biometrics and bioinfomatics.
B. Laboratory and field practices and data analysis.
C. Understanding the relationship between agronomy and related disciplines such as biochemistry, environmental science, ecology, information science
D. Demonstration of the ability in integreting previous studies in advanced classes.
E. Ability in literature review and paper writing.
F. Knowledge and skills in the curriculum used in research and innovation
G. Communication of ideas in oral presentation and in writing.
H. Team work
[A] [B] [C] [D] [E] [F] [G] [H]
Crop Genetic Engineering ◎   ◎ ◎   ◎    
Introduction of Recreation Beverage Crops ◎ ◎ ◎ ◎   ◎ ◎ ◎
Special Topics in Food and Agriculture     ◎       ◎ ◎
Statistical Methods for Agronomists ◎ ◎ ◎ ◎        
Design and Analysis of Factorial Experiments ◎ ◎ ◎ ◎ ◎ ◎ ◎  
Contemporary Organic Agriculture ◎              
Weed Management ◎ ◎            
Introduction to Green Industry     ◎          
Applied Linear Statistical Models (I) ◎ ◎ ◎ ◎ ◎ ◎    
Applied Linear Statistical Models (II) ◎              
Capabilities
\
Core Courses
A. Demonstration of the abilities in understanding key concepts and solving problems in agronomy-related sub-disciplines: crop breeding, crop physiology and cultivation, crop biotechnology, biometrics and bioinfomatics.
B. Laboratory and field practices and data analysis.
C. Understanding the relationship between agronomy and related disciplines such as biochemistry, environmental science, ecology, information science
D. Demonstration of the ability in integreting previous studies in advanced classes.
E. Ability in literature review and paper writing.
F. Knowledge and skills in the curriculum used in research and innovation
G. Communication of ideas in oral presentation and in writing.
H. Team work
[A] [B] [C] [D] [E] [F] [G] [H]
Crop-Insect Interactions ◎   ◎ ◎ ◎ ◎ ◎  
Ecological Statistics in Agriculture ◎   ◎   ◎   ◎ ◎
Population Genetics ◎ ◎ ◎ ◎ ◎ ◎ ◎  
Crop Modeling ◎ ◎   ◎ ◎ ◎ ◎  
How Agronomy can Address the Great Challenge of our Era ◎   ◎ ◎ ◎ ◎ ◎  
Statistical Learning ◎ ◎ ◎ ◎   ◎    
Plant Breeding for Disease Resistance on-the-Scene ◎ ◎   ◎   ◎ ◎  
Core Capabilities A
Demonstration of the abilities in understanding key concepts and solving problems in agronomy-related sub-disciplines: crop breeding, crop physiology and cultivation, crop biotechnology, biometrics and bioinfomatics.		 B
Laboratory and field practices and data analysis.		 C
Understanding the relationship between agronomy and related disciplines such as biochemistry, environmental science, ecology, information science		 D
Demonstration of the ability in integreting previous studies in advanced classes.		 E
Ability in literature review and paper writing.		 F
Knowledge and skills in the curriculum used in research and innovation		 G
Communication of ideas in oral presentation and in writing.		 H
Team work
Number of Core Courses
（Number of All Courses: 67）		 59 31 42 50 32 37 36 23