| Course title | |||||
| 農学実験計画法および統計解析演習Ⅰ [Exercise for Methods of Agricultural Experimental design and Statistical Analysis I] | |||||
| Course category | Requirement | Credit | 1 | ||
| Department | Year | 1～ | Semester | 1st | |
| Course type | 1st | Course code | 05ce0001a | ||
| Instructor(s) | |||||
| 深野 祐也 [FUKANO Yuya] | |||||
| Facility affiliation | Graduate School 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 |
| Methods of data description and analysis using R: descriptive statistics, graphical presentation, hypothesis testing, generalized linear model; emphasis on learning statistical methods for ecology and agriculture and concepts through hands-on experience with test data. |
| Prerequisites |
| Time of study required for completing this course applies to the standard time of study in TUAT.In completing this course, students will spend the standard amount of time as specified by the University.Practice and review should be conducted with reference materials and handouts.Students need to preview and review for an amount of time as indicated in the student guidelines of TUAT, in addition to the attendance of lecture (15hours). |
| Required Text(s) and Materials |
| Prepare based on the necessity |
| References |
| Introduce based on the necessity |
| Assessment/Grading |
| The grade is evaluated by attending atittude (50%) the result of exercise (50%). |
| Message from instructor(s) |
| Statistical literacy will enrich your life. |
| Course keywords |
| Statistical analysis, Data interpretation, Generalized Linear Models |
| Office hours |
| By the demand. E-mail: yuya.fukano@gmail.com |
| Remarks 1 |
|
Please bring your laptop. Please install the R software on your laptop. https://cran.r-project.org/bin/windows/base/ |
| Remarks 2 |
| Related URL |
| Lecture Language |
| Japanese |
| Language Subject |
| Last update |
| 3/4/2020 10:21:25 AM |