| Course title | |||||
| 実践生物統計学 [Practical Biostatistics] | |||||
| Course category | courses for the doctral program | Requirement | Credit | 2 | |
| Department | Graduate School of Bio-Applications and Systems Engineering | Year | ～ | Semester | 1st |
| Course type | 1st | Course code | 148320 | ||
| Instructor(s) | |||||
| 田中 あかね, 佐藤 俊幸 [TANAKA Akane, SATO Toshiyuki] | |||||
| Facility affiliation | Faculty of Agriculture | Office | afjgxte/L1151 | Email address | |
| Course description |
| The course is intended to enable students to understand the fundamental way of thinking and methodology of biostatistical techniques, appropriately analyze information contained in data obtained from biome and evaluate the significance of bio-experimental data. More specifically, they will be taught how to prepare and read frequency analysis charts for data, which constitute the basis of practical statistical analyses frequently used in biological experiments, and about averages, variances, standard deviations, standard errors, coefficients of variation, analysis of variance, hypothesis testing, correlation, linear regression analysis, multiple regression analysis and curvilinear regression analysis. |
| Expected Learning |
|
Corresponding criteria in the Diploma policy: See the curriculum maps. https://www.tuat.ac.jp/campuslife_career/campuslife/policy/ |
| Course schedule |
|
1st: Introduction to biostatistics 2nd: Research design and statistical analaysis 3rd: Preparation and reading of data frequency charts (non-permanent instructor) 4th: Average and variance (non-permanent instructor) 5th: Standard deviation, standard error, and coefficient of variation (non-permanent instructor) 6th: Variance analysis (non-permanent instructor) 7th: Hypothesis testing (non-permanent instructor) 8th: Correlation (non-permanent instructor) 9th: Regression (non-permanent instructor) 10th: Hypothesis testing (non-permanent instructor) 11th: Experiment protocol preparation and statistical processing (1) (non-permanent instructor) 12th: Experiment protocol preparation and statistical processing (2) (non-permanent instructor) 13th: Application of biostatistical method (1) (non-permanent instructor) 14th: Application of biostatistical method (2) (non-permanent instructor) 15th: Sum-up (non-permanent instructor) |
| Prerequisites |
| Other than 30 hours in a school hour, you need preparation and review for lessons to fill the standard time of the lesson. |
| Required Text(s) and Materials |
| You can download the text from google classroom |
| References |
| Assessment/Grading |
|
Evaluation by reports presented |
| Message from instructor(s) |
| Course keywords |
| Biological experiment, significant difference, comparison |
| Office hours |
| Remarks 1 |
| Remarks 2 |
| Related URL |
| Lecture Language |
| Japanese |
| Language Subject |
| Last update |
| 3/12/2021 1:49:19 PM |