| Course title | |||||
| バイオ統計学・アドバンスドバイオインフォマティクス [Bio-statistics and Advanced Bioinformatics] | |||||
| Course category | technology speciality courses | Requirement | Credit | 2 | |
| Department | Year | 2～4 | Semester | 3rd | |
| Course type | 3rd | Course code | 022152 | ||
| Instructor(s) | |||||
| 川野 竜司 [KAWANO Ryuji] | |||||
| Facility affiliation | Faculty of Engineering | Office | afjgxte/L1151 | Email address | |
| Course description |
| Although we have already learned mathematical statistics, we will learn practical biostatistical methods and bioinformatics methods that are required for actual research. |
| Expected Learning |
| When biochemical experiments are conducted, practical biostatistical methods are acquired so that they can perform statistical analysis on their own. Students will also acquire the state-of-the-art on bioinformatics. |
| Course schedule |
|
Lectures, and exercises, and tests. 1st What is Biostatistics? 2nd Basics of Descriptive Statistics 3rd Basics of Estimated Statistics 4th Characteristics of sample distribution 5th Probability and Probability Distribution 6th Parametric Test 7th Nonparametric Test 8th Correlation Analysis 1 9th Correlation Analysis 2 10th Basics of Bioinformatics 11th Modeling The T12 Regression Analysis 13th Multivariate Analysis 1 14th Multivariate Analysis 2 15th Final Exam. |
| Prerequisites |
| Related Topics: Statistics, Instrumental Analysis |
| Required Text(s) and Materials |
| はじめての統計学 鳥井恭彦著 |
| References |
| Assessment/Grading |
| Evaluate grades with term-end test scores.The grade evaluation in this online class is premised on all attendances, and comprehensively evaluates the attitude to learn, quizzes, report, and online tests. Standard study time set by the our university is required to get the grade. The rate of evaluation is as follows: Normal score: 30%, quizzes and assignment test, and online test: 70%. Grade will be given according to the following criteria by comprehensive evaluation: S: 90 points or more, A: 80 or more and less than 90 points, B: 70 or more and less than 80 points, C: 60 or more and less than 70 points. |
| Message from instructor(s) |
| This is a class that is useful for experiments that You actually do after entering the laboratory. |
| Course keywords |
| Statistics, Analytics, Bioinformatics, Machine Learning |
| Office hours |
| Remarks 1 |
| Remarks 2 |
| Related URL |
| Lecture Language |
| Japanese |
| Language Subject |
| Last update |
| 4/21/2020 5:06:25 PM |