國立中興大學教學大綱
課程名稱 (中) 進階作物學研究法(6141)
(Eng.) Advance Research Methods in Crop Science
開課單位 農藝系
課程類別 選修 學分 3 授課教師 鄭舒允
選課單位 國農學程 / 碩士班 授課使用語言 英文 開課學期 1142
課程簡述 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.
先修課程名稱
課程與核心能力關聯配比(%) 課程目標之教學方法與評量方法
課程目標 核心能力 配比(%) 教學方法 評量方法
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.農業專業能力 Professional agricultural knowledge
2.論文研究 Master Thesis
3.邏輯組織以及資料統整與分析 Logic/ data collection and analysis
70
20
10
專題探討/製作
習作
討論
實習
講授
口頭報告
作品
授課內容(單元名稱與內容、習作/每週授課、考試進度-共16週加自主學習)
週次 授課內容
第1週 Holiday
第2週 Course Introduction:
Overview of course objectives, grading policy, and laboratory safety guidelines.
第3週 Genomic DNA Extraction:
Principles and protocols for extracting high-quality DNA from plant tissues.
第4週 DNA Quality Control (PCR & Gel Electrophoresis):
Assessing DNA integrity and quantity using PCR amplification and agarose gel electrophoresis.
第5週 ddRAD Library Construction I:
Digestion & Ligation: Restriction enzyme digestion of genomic DNA and adapter ligation for reduced representation sequencing.
第6週 Holiday
第7週 ddRAD Library Construction II:
Amplification & Purification: PCR amplification of the library fragments and final size selection/purification for sequencing.
第8週 Introduction to Linux:
Installation of Linux environment (e.g., WSL) and essential command-line operations for bioinformatics.
第9週 Introduction to R & RStudio:
Setting up the R environment; learning basic syntax, data structures, and package management.
第10週 Holiday
第11週 Statistical Analysis in R (ANOVA):
Performing Analysis of Variance (ANOVA) to test hypotheses on biological datasets.
第12週 Data Visualization in R:
transforming raw data into high-quality scientific figures
第13週 Image Analysis I (Phenotyping):
Introduction to digital image processing tools for identifying plant leaf traits.
第14週 Image Analysis II (Phenotyping):
Advanced quantification of phenotypic traits and data export for downstream analysis.
第15週 Literature Review Presentation I:
Individual presentations on recent advancements in agricultural genomics and biotechnology.
第16週 Literature Review Presentation II:
Individual presentations on recent advancements in agricultural genomics and biotechnology.
自主學習
內容
   01.參與專業論壇、講座、企業分享等產官學研相關交流活動
   02.閱覽產業及學術相關多媒體資料
   03.製作專題報告
   05.參與本校各單位舉辦之各類工作坊活動

學習評量方式
Presentation
教科書&參考書目(書名、作者、書局、代理商、說明)
Handout
課程教材(教師個人網址請列在本校內之網址)
Handout
課程輔導時間
Mon AM 8-10
聯合國全球永續發展目標(連結網址)
03.健康與福祉   04.教育品質   09.工業、創新基礎建設提供體驗課程:N
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更新日期 西元年/月/日:2026/04/14 15:53:10 列印日期 西元年/月/日:2026 / 5 / 06
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