| Course title | |||||
| 生態・環境情報工学 [Ecological and Environmental Informatics] | |||||
| Course category | Requirement | Credit | 2 | ||
| Department | Year | 3～ | Semester | 1st | |
| Course type | 1st | Course code | 01RN3251 | ||
| Instructor(s) | |||||
| 酒井 憲司 [SAKAI Kenshi] | |||||
| Facility affiliation | Faculty of Agriculture | Office | afjgxte/L1151 | Email address | |
| Course description |
|
【Objective】 Learn the basic principle of population ecology. This lecture is an important subject in various fields related to ecology and fields related to modeling and simulation. In particular, it is a compulsory subject in the agricultural environmental engineering program and the ecosystem conservation program, and it is a recommended course in the forest science program. 【Overview】 Population ecology is described as mathematical ecology. It is important to understand concepts such as density dependence, environmental capacity, competition, etc. as models described by differential equations. We deal with continuous system Malthus growth, logistic growth, Lotka-Volterra competition system, Lotka ・ Volterra rey-predator system, structured model, discrete system logistic model etc Learn the fundamentals of nonlinear dynamics using a discrete logistic model. Learn numerical solutions of differential equations using Matlab and Octave. Homework is numerical experiment (simulation) of each model. By doing this, students learn the principles of mathematical ecology, modeling and simulation together. All these materials are uploaded to Moodle, and lectures are done using this. |
| Expected Learning |
|
Understand the basic principle of population ecology. Understand the basic models of mathematical ecology and solve them by numerical solution methods. Understand the program code written in Matlab or Octave. Run a program written in Matlab or Octave to get a solution. Corresponding criteria in the Diploma Policy: See the Curriculum maps. URL: https://www.tuat.ac.jp/campuslife_career/campuslife/policy/ |
| Course schedule |
|
1. Outline 2. The basis of Octave (Matlab) 3. Malthus growth 4. Logistic growth 5. Lotka-Volterra competition system 6. Lotka ・ Volterra rey-predator system 7. Simulation exercise I 8. Nonlinear Dynamics I 9. Nonlinear Dynamics II 10. Structured model I 11. Structured model II 12. Model of life history 13. Meta population 14. Basics of space ecology 15. Simulation exercise II |
| Prerequisites |
| Required Text(s) and Materials |
| All material will be uploaed in TUAT Moodle. |
| References |
| Assessment/Grading |
|
70％ examination 30％ homework problems |
| Message from instructor(s) |
| I upload teaching materials such as slides of lectures, related PDFs of academic papers, simulation programs etc. to Moodle, so please use them for your self-study. |
| Course keywords |
| population ecology, mathematical ecology, density dependence, carrying capacity, modeling and simulation, Matlab |
| Office hours |
| after the class |
| Remarks 1 |
| Remarks 2 |
| Related URL |
| Moodle |
| Lecture Language |
| Japanese |
| Language Subject |
| English |
| Last update |
| 4/20/2020 10:01:14 AM |