国际学生入学条件
Steps to Completion,
Complete and submit the Application for Graduation through the Student Information System (SIS) by the posted deadline for the term.
Submit the Notification for Scheduling the Final Oral Exam Form to the School of Graduate Studies at least three weeks prior to your defense date.
Submit copies of your dissertation to the members of your defense committee at least two weeks prior to your defense date.
Have all committee members sign the Final Certification for the PhD Degree Form at the conclusion of your successful defense.
Submit a completed copy of your dissertation as a .PDF file to the School of Graduate Studies (etdsubmit@case.edu) for a format check.
After your format check is complete, upload the final, approved copy of the completed dissertation as a .PDF file to OhioLINK. **Choose:** 1) Copyright: Copyright, all rights reserved. and 2) Proquest Permission: Upload my paper to Proquest...
Final Materials,
Final Certification Form with all appropriate signatures
ETD Document Approval Form
One printed copy of your dissertation's Title Page
Online Survey of Earned Doctorates printed certificate
Waiver of Registration Form, if applicable
Your completed ETD uploaded to OhioLINK - only AFTER it has been approved by your committee AND by Graduate Studies.
IELTS: 7, TOEFL: 90 IBT, TOEFL PBT 577 , PTE Academic: 61
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雅思考试总分
7.0
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雅思考试指南
- 雅思总分:7
- 托福网考总分:90
- 托福笔试总分:577
- 其他语言考试:Pearson Test of English (PTE-Academic) is accepted with a minimum score of 61.
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申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
Our research strengths in looking at the temporal aspects of lifetime data offer a unique perspective that can be used for everything from materials discovery to lifetime performance. Data analysis can be combined with microstructure characterization to understand how either initial processing or evolution during performance results in material properties. Incorporating data science can advance alloy developmentby looking at 30 years of data with steel alloys, for example, we can model what type of alloy will best meet a specific set of needs. Through data, we can follow the degradation pathways of polymers in packaging, as well as conduct time-series analyses of power plant performance with regard to energy efficiency.<br><br>In the realm of machine learning, were applying AI to imagery to better assess everything from the characterization of surfaces to the makeup of super alloys to failure mechanisms. At this interface of statistics, big data and materials science, we analyze, evaluate and enhance materials in smart and strategic ways to fully realize the capabilities of materials systems.
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