方向：理工
专业：工程
适合人群：计算机科学,机器学习,结构工程,工程,工程学,物理,能源动力工程,工程热物理,编程语言,计算机工程,物理学,土木与环境工程,土木工程
是否可以加论文：否
项目时长及形式：英文
产出：
4周在线科研学习+3周论文辅导学习
学术报告
优秀学员获导师Reference Letter
EI/CPCI/Scopus/ProQuest/Crossref/EBSCO或同等级别索引国际会议全文投递与发表（可用于申请）
结业证书
成绩单
项目介绍：
项目内容从编程基础知识（如：Matlab/Python、基本数列、函数与绘图等）入手，引入流体力学及热力学核心知识来阐述编程与现代工程之间的关系。随后，从矩阵处理开始，探究线性代数在工程应用中的核心要点，研究如何使用静力学与动力学知识来建立和控制各种机械行为。通过项目学习，学生将能够独立使用编程的知识来解决现实生活中工程优化和控制问题，将机器学习沿用至各个工程领域，更加科学地评价工程质量和验收。
个性化研究课题参考 Suggested Research fields
热机与热力学研究：不同热机循环下碟式太阳能热发电系统热力学分析
建筑工程可靠性分析与项目决策
流体力学补偿标准伽辽金有限元及其在建筑风场中的应用
This project will introduce basic programming knowledge (such as Matlab/Python, basic sequence of numbers, functions and drawings), and introduces core knowledge of fluid mechanics and thermodynamics to illustrate the relationship between programming and modern engineering. Then, starting from matrix processing, this project will explore the core points of linear algebra in engineering applications, and analyze how to use statics and dynamics knowledge to establish and control mechanical behaviors. Through the study of this project, students will be able to independently use programming knowledge to solve real-life engineering optimization and control problems, apply machine learning to various engineering fields, evaluate engineering quality and acceptance more scientifically. At the end of this project, students should submit their project report and display their results.
Suggested Future Research Fields:
Heat engine and thermodynamics research: thermodynamic analysis of dish-type solar thermal power generation system under different heat engine cycles
Reliability analysis of construction engineering and project decision
Galerkin finite element standard for fluid mechanics compensation and its application in building wind farms
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