| Course title | |||||
| 農学実験計画法および統計解析演習Ⅱ [Exercise for Methods of Agricultural Experimental design and Statistical Analysis Ⅱ] | |||||
| Course category | Requirement | Credit | 1 | ||
| Department | Year | 1～1 | Semester | 3rd | |
| Course type | 3rd | Course code | 05ce0002 | ||
| Instructor(s) | |||||
| 佐藤 俊幸, 阿部 真人 [SATO Toshiyuki, ABE Masato] | |||||
| Facility affiliation | Faculty of Agriculture | Office | afjgxte/L1151 | Email address | |
| Course description |
| Students obtain basic knowledge of statistical processing necessary for reading experiments related to agriculture and related fields. Students then improve ability for laboratory experiment, field survey, and reading papers. Especially, topics such as agricultural science, applied life science, ecology can be included. Planning and designing experiments and monitoring were also included in this class. Applications of specific statistical software will be demonstrated in this class. |
| Expected Learning |
|
Understand the basics of statistics as basic subjects necessary for conducting research in agriculture and related fields, understand the processing of data using interpretive statistical methods, and the interpretation method of results. The following three points are the reaching criteria. 1. Understand the basics of statistics 2. Methods that can statistically process phenomena related to agriculture and related fields 3. Evaluation of judgment and validity of contents obtained by analysis result Corresponding criteria in the Diploma policy: See the curriculum maps. https://www.tuat.ac.jp/campuslife_career/campuslife/policy/ |
| Course schedule |
|
1. What's statistics? Introduction to statistics, basic probability theory and preparation for R and Excel 2. Basic statistics 3. Statistical test 4. Test for independence and multiple comparison 5. ANOVA and rank sum test 6. Correlation and regression analysis 7. General linear model and interaction 8. Principal component analysis, Bayesian statistics |
| Prerequisites |
|
Related to subjects of the thesis, it is a required compulsory subject which is divided into special research A group. Subjects of special study group A open for April enrollment students, enrollees for October should take subjects of special study group B. In completing this course, students will spend the standard amount of time as specified by the University. |
| Required Text(s) and Materials |
| Prepare based on the necessity |
| References |
| Prepare based on the necessity |
| Assessment/Grading |
| Practice during the class (50%) and reports (50%)。 |
| Message from instructor(s) |
| Statistics is essential when studying life science. So, let’s study statistics. |
| Course keywords |
| Statistical analysis, Data interpretation, Data visualization |
| Office hours |
| By the demand |
| Remarks 1 |
| Remarks 2 |
| Related URL |
| Lecture Language |
| English |
| Language Subject |
| Last update |
| 3/4/2019 8:28:53 PM |