NCHU Course Outline
Course Name (中) 進階作物學研究法(6141)
(Eng.) Advance Research Methods in Crop Science
Offering Dept Department of Agronomy
Course Type Elective Credits 3 Teacher SHUYUN CHEN
Department International Master Program in Agriculture/Graduate Language English Semester 2026-SPRING
Course Description This course combines Wet Lab (Biotechnology) and Dry Lab (Data Analysis) training. Starting with DNA extraction and NGS library preparation (ddRAD), the course progresses to R programming, Linux basics, and image analysis. It aims to equip students with interdisciplinary skills in both genomics and bioinformatics for agriculture.
Prerequisites
self-directed learning in the course Y
Relevance of Course Objectives and Core Learning Outcomes(%) Teaching and Assessment Methods for Course Objectives
Course Objectives Competency Indicators Ratio(%) Teaching Methods Assessment Methods
The primary objective of this course is to equip students with integrated skills in agricultural genomics and bioinformatics. Students will master the complete research workflow, beginning with wet-lab techniques (DNA extraction, PCR, and ddRAD library construction) and transitioning to computational analysis using R statistics, Linux, and image phenotyping tools. Through this dual training, students will develop the ability to generate, analyze, and interpret biological data, culminating in the effective communication of scientific findings.
1.Professional agricultural knowledge
2.Master Thesis
3.Logic/ data collection and analysis
70
20
10
topic Discussion/Production
Exercises
Discussion
Practicum
Lecturing
Oral Presentation
Study Outcome
Course Content and Homework/Schedule/Tests Schedule
Week Course Content
Week 1 Holiday
Week 2 Course Introduction:
Overview of course objectives, grading policy, and laboratory safety guidelines.
Week 3 Genomic DNA Extraction:
Principles and protocols for extracting high-quality DNA from plant tissues.
Week 4 DNA Quality Control (PCR & Gel Electrophoresis):
Assessing DNA integrity and quantity using PCR amplification and agarose gel electrophoresis.
Week 5 ddRAD Library Construction I:
Digestion & Ligation: Restriction enzyme digestion of genomic DNA and adapter ligation for reduced representation sequencing.
Week 6 Holiday
Week 7 ddRAD Library Construction II:
Amplification & Purification: PCR amplification of the library fragments and final size selection/purification for sequencing.
Week 8 Introduction to Linux:
Installation of Linux environment (e.g., WSL) and essential command-line operations for bioinformatics.
Week 9 Introduction to R & RStudio:
Setting up the R environment; learning basic syntax, data structures, and package management.
Week 10 Holiday
Week 11 Statistical Analysis in R (ANOVA):
Performing Analysis of Variance (ANOVA) to test hypotheses on biological datasets.
Week 12 Data Visualization in R:
transforming raw data into high-quality scientific figures
Week 13 Image Analysis I (Phenotyping):
Introduction to digital image processing tools for identifying plant leaf traits.
Week 14 Image Analysis II (Phenotyping):
Advanced quantification of phenotypic traits and data export for downstream analysis.
Week 15 Literature Review Presentation I:
Individual presentations on recent advancements in agricultural genomics and biotechnology.
Week 16 Literature Review Presentation II:
Individual presentations on recent advancements in agricultural genomics and biotechnology.
self-directed
learning
   01.Participation in professional forums, lectures, and corporate sharing sessions related to industry-government-academia-research exchange activities.
   02.Viewing multimedia materials related to industry and academia.
   03.Preparing presentations or reports related to industry and academia.
   05.Participation in various workshops organized by different departments of NCHU.

Evaluation

Textbook & other References

Teaching Aids & Teacher's Website

Office Hours

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Update Date, year/month/day:2026/02/09 20:11:20 Printed Date, year/month/day:2026 / 3 / 30
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