NCHU Course Outline
Course Name (中) 植病與資訊(6223)
(Eng.) Plant Disease and Information
Offering Dept Department of Plant Pathology
Course Type Elective Credits 2 Teacher CHANG,PI-FANG LINDA
Department Department of Plant Pathology/Graduate Language English Semester 2025-FALL
Course Description 中文: 電腦資訊等分析工具在植物病理學研究之應用
英文: Application of computer and information analytical tools on plant pathology research
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
To let students familiar with the application of computer and information analytical tools on plant pathology research
1.Knowledge and technology related to plant pathology and plant health inspection and quarantine
2.Knowledge of plant pathogenic microorganisms
40
60
Lecturing
Discussion
Exercises
Networking/Distance Education
Assignment
Oral Presentation
Attendance
Other
Course Content and Homework/Schedule/Tests Schedule
Week Course Content
Week 1 Course introduction
Week 2 Cisco Webex or Google Meet practice
Week 3 Introduction of Bioinformatics
Week 4 Introduction of Molecular Biology
Week 5 Data gathering and library resources
Week 6 Genome sequencing and assembling; 1st, 2nd, and 3rd Generation Genome Sequencing Technologies
Week 7 NCBI: BLAST (only Web BLAST, not including “Specialized Searches” in BLAST)
Week 8 Application of MEGA (Molecular Evolutionary Genetics Analysis)
Week 9 Mid-term Exam Week (Discussion)
Week 10 Bioinformatic tools for PCR
Week 11 Websites for Vectors / Specialized Searches in BLAST
Week 12 Annotation of genome & Tools for gene analysis (ORF finder, GENSCAN, KEGG, STRING, SMART)
Week 13 2D & 3D Domains & Structure of biomolecules
Week 14 Application of gene databases
Week 15 Bioinformatics for evolution and taxonomy & Experimental design & Statistics applications
Week 16 The American Phytopathological Society (APS) website Application of R Final Exam Week (hang in the revised report PPT files including the Q&A and homework)
self-directed
learning

Evaluation
(1) Oral report 50%; (2) Participation 10%; (3) Discussion 10%; (4) Homework and revised oral PPT file 30%
Textbook & other References
Websites related to library, plant pathology, molecular biology, bioinformatics, and statistics etc.
Teaching Aids & Teacher's Website

Office Hours
Make appointment with the lecturer
Sustainable Development Goals, SDGs(Link URL)
include experience courses:N
Please respect the intellectual property rights and use the materials legally.Please respect gender equality.
Update Date, year/month/day:None Printed Date, year/month/day:2025 / 6 / 18
The second-hand book website:http://www.myub.com.tw/