ผลการค้นหา: 924
Magnetic Properties of Materials
Aims and Summary
This course aims to provide basic knowledge about polymeric biomaterials, physico-chemical properties of biomaterials, host reactions to biomaterials and their evaluation, biological testing of biomaterials and degradation of materials in biological environment, inform about current issues in biomaterials, hand-on mini-project on fabrication and characterization of a simple polymeric biomaterial. Develop entrepreneurial mindset for polymeric biomaterials.
Teaching and Learning:
This module has been designed to align with the following PLO
PLO3: Analyze materials engineering problem, design and conduct experiment, analyze the obtained data, and explain results to the desired outcome.
Module Learning Outcomes
MLO1 describe basic definition of biomaterials, classify biomaterials according to the structural properties
MLO2 identify the properties required to meet the needs of the intended biological function and describe host reactions to biomaterials
MLO3 Select material to meet requirements for a specific application or design
MLO4 Independently search and review articles related to current issues in biomaterials, write a scientific report and present to the class.
MLO5 Fabricate simple biomaterial samples and evaluate their properties by perform a series of test and characterization
MLO6 Develop a business plan for a biomaterial product (Not Applicable)
Basic Econometrics applied to transportation
This course covers the principles and research methodology for industrial and environmental industrial engineering, research planning, preparation of research proposal, literature review, research design and data analysis, presentation techniques, writing of research report, results evaluation, and research article.

Statistical characterization of data. Distributions of environmental data. Identification of environmental system changes. Outlier detection. Limit of detection and treatment of censored data. Hypothesis testing of environmental data. Correlation and regression analysis. Experimental design for environmental engineering research. Application of statistical analysis software.
Numerical Computation
- Machine learning and introduction to deep Learning I
- Machine learning and introduction to deep Learning II
- Deep learning for machine visions I
- Deep learning for machine visions II
- Deep learning deployment projects

