Course title
生物統計学   [Biostatistics]
Course category   Requirement   Credit 2 
Department   Year 3  Semester 3rd 
Course type 3rd  Course code 01AN3107
Instructor(s)
大川 泰一郎, 岩田 洋佳, 大森 宏   [OKAWA Taiichiro, IWATA Hiroyoshi, OHMORI Hiroshi]
Facility affiliation Faculty of Agriculture Office afjgxte/L1151  Email address

Course description
Acquisition of basic and applied statistical knowledge required for biological science. Acquisition of data analysis technology using statistical package R.
Expected Learning
Acquisition of basic and applied statistical knowledge. Acquisition of data analysis techniques for using statistical package R.

Corresponding criteria in the Diploma Policy:
See the Curriculum maps.
URL: https://www.tuat.ac.jp/campuslife_career/campuslife/policy/
Course schedule
1. Basic statistics required for biochemistry
2. Basic statistics required for biochemistry
3. Basic statistics required for biochemistry
4. Practical analysis method using statistical package R①
5. Practical analysis method using statistical package R②
6. Practical analysis method using statistical package R③
7. Practical analysis method using statistical package R④
8. Summary of basic statistics
9. QTL analysis (applied statistics)
10. QTL analysis (applied statistics)
11. Genome-wide association analysis (applied statistics)
12. Genome-wide association analysis (applied statistics)
13. Quantitative genetics techniques such as genome selection (applied statistics)
14. Quantitative genetics techniques such as genome selection (applied statistics)
15. Summary of applied statistics
Prerequisites
Students are recommended to spend the standard amount of time as specified by the University
Required Text(s) and Materials
Handouts will be provided in class
References
Will be introduced in class if necessary.
Assessment/Grading
Class participation 30%, comprehensive evaluation by small report 30% and final report for each lecture 40%
Message from instructor(s)
Please experience how interesting biological statistics is through actual data analysis
Course keywords
Office hours
Make an appointment before or after each lecture.
Remarks 1
Remarks 2
Related URL
Lecture Language
Japanese
Language Subject
Last update
9/30/2020 10:48:44 AM