| Relevance of Course Objectives and Core Learning Outcomes(%) |
Teaching and Assessment Methods for Course Objectives |
| Course Objectives |
Competency Indicators |
Ratio(%) |
Teaching Methods |
Assessment Methods |
| Understand the differences among different bioinformation tools and how to select the right one to fit your task |
|
|
| topic Discussion/Production |
| Exercises |
| Discussion |
|
| Attendance |
| Oral Presentation |
| Assignment |
|
| Course Content and Homework/Schedule/Tests Schedule |
| Week |
Course Content |
| Week 1 |
Introduction |
| Week 2 |
Introduce different online databases |
| Week 3 |
The history of sequencing |
| Week 4 |
R program introduction |
| Week 5 |
Group comparisons and data cleanning |
| Week 6 |
Data visualisations in R |
| Week 7 |
Correlations |
| Week 8 |
Expression analysis |
| Week 9 |
Mid-term |
| Week 10 |
Comparing the means of more than two groups
|
| Week 11 |
Plant Image Analysis |
| Week 12 |
Variations in the arguments of analyze objects
|
| Week 13 |
RGB values for each object
|
| Week 14 |
Group report I |
| Week 15 |
Group report II |
| Week 16 |
How to analysis RNA-seq data : online learning |
| Week 17 |
How to do the SNP calling: online learning |
| Week 18 |
Final exam |
|
| Evaluation |
1. Midterm report (40%)
2. Final oral present (40%)
3. Homework (20%)
|
| Textbook & other References |
1. Plant Bioinformatics methods and protocols (Edwards, David. 2016).
2. R Bioinformatics Cookbook (Dan MacLean, 2019)
|
| Teaching Aids & Teacher's Website |
|
| Office Hours |
|
| Sustainable Development Goals, SDGs |
| | include experience courses：N |
|