In Graduation Research 2 in the Material Strength Laboratory, research is conducted on material strength, especially on assessments
of strength and property on mechanical fastening technology. Research contents are set individually, and research with novelty
and originality is performed.
The purpose of Graduation Research 2 in the Material Strength Laboratory is to develop problem-solving skills through research.
Specifically, we discover and set issues and problems that arise in conducting research, examine methods to solve them, and
design and manufacture equipment as needed. In addition, the ability to solve problems is cultivated by logically analyzing
and analyzing the acquired experimental results.
- To be able to find and set issues and problems that arise in research.
- To be able to find problems to solve problems and problems that arise in research, and design and manufacture equipment as needed.
- To be able to solve the problem by analyzing and analyzing the experimental results logically.
You can choose either one or both of two themes below.
1. Study of statistical or material physics by computational simulations.
Construct a model Hamiltonian which consists of essential interactions in a real material, and execute computational simulations of the model Hamiltonian to explain a mechanism of interesting phenomena.
2. Development or modification of computational simulations.
Computational times have been drastically shortened by a significant development in computer hardware. But practically they deeply depend on implementations or selected algorithms. In this research, we learn algorithms for computational statistical physics, and we develop or modify the algorithms in consideration of computer architecture.
1. Study of statistical or material physics by computational simulations.
Construct a model Hamiltonian which consists of essential interactions in a real material, and execute computational simulations of the model Hamiltonian to explain a mechanism of interesting phenomena.
2. Development or modification of computational simulations.
Computational times have been drastically shortened by a significant development in computer hardware. But practically they deeply depend on implementations or selected algorithms. In this research, we learn algorithms for computational statistical physics, and we develop or modify the algorithms in consideration of computer architecture.
| Research Ability | Research capability | Analytical ability | Achievement ability | Active performance | Total. | |
|---|---|---|---|---|---|---|
| 1. | 20% | 20% | 20% | 20% | 20% | 100% |
| 2. | 0% | |||||
| 3. | 0% | |||||
| 4. | 0% | |||||
| 5. | 0% | |||||
| Total. | 20% | 20% | 20% | 20% | 20% | - |
Students are evaluated at the level described in the rubric in graduation research 2.
- Course that cultivates an ability for utilizing knowledge
- Course that cultivates a basic interpersonal skills
- Course that cultivates a basic self-management skills
- Course that cultivates a basic problem-solving skills
| Work experience | Work experience and relevance to the course content if applicatable |
|---|---|
| N/A | N/A |
- 4.QUALITY EDUCATION
- 9.INDUSTRY, INNOVATION AND INFRASTRUCTURE
- 12.RESPONSIBLE CONSUMPTION & PRODUCTION
Last modified : Sun Mar 22 04:07:47 JST 2020