| Course title | |||||
| 寄生虫学実習 [Practice in Veterinary Parasitology] | |||||
| Course category | Requirement | Credit | 1 | ||
| Department | Year | 1～1 | Semester | Fall | |
| Course type | Fall | Course code | 05EC0110c | ||
| Instructor(s) | |||||
| 白井 淳資, オブライエン 悠木子 [SHIRAI Junsuke, SASSA Yukiko] | |||||
| Facility affiliation | Organization for the Advancement of Education and Global Learning | Office | Email address | ||
| Course description |
|
Aims: Students will learn the theory and research methods for ecosystem conservation based on vegetation science, biodiversity conservation, landscape ecology, and hydrosphere ecology. Outline: IWAI class Lectures and practical exercises of mathematical biology, especially on metamorphosing strategy. Students are required to well prepare for the class by working on end-of-chapter exercises. |
| Expected Learning |
|
Students are required to gain knowledge of vegetation science, biodiversity conservation, landscape ecology, and hydrosphere ecology. And you need to gain ability to apply it to actual conservation planning. Corresponding criteria in the Diploma policy: See the curriculum maps. http://www.tuat.ac.jp/campuslife_career/campuslife/policy/ |
| Course schedule |
|
IWAI class 1. Introduction, choosing a chapter from textbook. 2. Lecture and exercises of one or two chapters. 3. Lecture on previous metamorphosing model 4. Lecture on previous metamorphosing model 5. Construction of new metamorphosing model 6. Improvement of the model 7. Presentation 1 8. Presentation 2 |
| Prerequisites |
|
This lecture is an elective subject, and is one of the specialized subjects. The students are required to have basic knowledge of ecology, vegetation science, biodiversity conservation, and landscape ecology. Students need to use software R and have high-schoo-educated math ability. Knowledge on genetic algorithm is preferable. 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 (30 ours). Akasaka class: students are required to have basic knowledge on generalized linear models. Ordination analyses, and programming in R environment. Students are required to take ‘Exercise for Methods of Agricultural Experimental design and Statistical Analysis I’ which is offered in the same semester. This class is partially intensive, participants must attend the first lecture (introduction). IWAI class: Mathematical skill equivalent to high school level |
| Required Text(s) and Materials |
| IWAI class: “Introduction to mathematical biology” Kyo-ritu Shuppan |
| References |
| IWAI class: “Introduction to mathematical biology” Kyo-ritu Shuppan |
| Assessment/Grading |
|
IWAI class: Performance on presentation and assignments 50%, Report 50% |
| Message from instructor(s) |
| Course keywords |
| Field data analysis |
| Office hours |
| Please make an appointment by e-mail. |
| Remarks 1 |
| Remarks 2 |
| Related URL |
| Lecture Language |
| Japanese |
| Language Subject |
| Last update |
| 1/5/2023 2:13:08 PM |