AI for Design and Optimization

AI for Design and Optimization

本课程是 AI for Mechanical Engineers 专项课程的一部分

位教师：Wei Lu

11,918 人已注册

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3个模块

深入了解一个主题并学习基础知识。

73 条评论

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灵活的计划

1 周在 10 小时一周

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97%

大多数学生喜欢此课程

3个模块

深入了解一个主题并学习基础知识。

73 条评论

中级等级

推荐体验

灵活的计划

1 周在 10 小时一周

自行安排学习进度

97%

大多数学生喜欢此课程

您将学到什么

Learn the fundamentals of artificial intelligence (AI) relevant to engineering design and optimization processes
Enhance engineering design creativity and optimize strategies by applying AI techniques
Learn to discern appropriate applications of AI to ensure effective integration into workflows
Learn to interpret outputs generated by AI models accurately

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作业

3 项作业

授课语言：英语（English）

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积累特定领域的专业知识

本课程是 AI for Mechanical Engineers 专项课程专项课程的一部分

在注册此课程时，您还会同时注册此专项课程。

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该课程共有3个模块

Artificial intelligence and machine learning are revolutionizing design processes, optimizing strategies, and fostering innovation across industries. "AI for Design and Optimization” offers you the knowledge to harness the power of AI to enhance your own design and optimization capabilities. Mastering key skills such as discerning appropriate AI applications, interpreting model outputs, staying abreast of AI advancements, and effectively communicating the role of AI in projects is essential to effectively leverage these technologies in your practices. You will delve into the fundamentals of AI and their practical application in design and optimization, exploring advanced techniques like generative design, evolutionary algorithms, and topology optimization. This unique curriculum provides a comprehensive introduction to utilizing AI to enhance design creativity and streamline processes.

In module 1, you will be introduced to artificial intelligence (AI) and machine learning (ML), along with the essential vocabulary necessary to effectively communicate with relevant stakeholders. You will explore various applications of AI/ML in design and optimization, and understand the challenges associated with implementing these technologies in these fields.

涵盖的内容

4个视频6篇阅读材料1个作业2个非评分实验室

4个视频总计34分钟

Introduction to Key Concepts7分钟
Machine Learning Algorithms6分钟
Deep Learning and Neural Network10分钟
Introduction of AI/ML in Design and Optimization12分钟

6篇阅读材料总计60分钟

Course Syllabus10分钟
Help Us Learn About You!10分钟
Introduction to Jupyter Labs on Coursera10分钟
K-Nearest Neighbors Implementation10分钟
DNN Implementation10分钟
Overfitting and Underfitting of ML10分钟

1个作业总计30分钟

Module 1 Assignment30分钟

2个非评分实验室总计120分钟

K-Nearest Neighbor - Programming Exercise60分钟
Neural Networks - Programming Exercise60分钟

In module 2, you will delve into the principles, tools, and applications of generative design across various industries. You will learn to unlock the power of generative design to revolutionize your approach to creativity and problem-solving. Generative design is a cutting-edge approach that harnesses the capabilities of AI and computational algorithms to explore design solutions.

涵盖的内容

3个视频1篇阅读材料1个作业1个非评分实验室

In module 3, you will explore a range of AI-driven optimization algorithms and their applications across diverse industries. You will learn how to apply AI in optimizing complex systems and processes. Optimization lies at the heart of many decision-making processes, and AI technologies offer powerful tools to enhance efficiency, effectiveness, and innovation.

涵盖的内容

5个视频6篇阅读材料1个作业2个非评分实验室

5个视频总计41分钟

Overview of Optimization Problems6分钟
Introduction to Optimization Algorithms12分钟
Introduction of Topology Optimization6分钟
ML for Topology Optimization8分钟
Case Studies9分钟

6篇阅读材料总计60分钟

Case Studies: Thermal Insulation Optimization10分钟
Thermal Insulation Optimization10分钟
Case Studies: Battery Fast-Charging Optimization10分钟
Battery Fast-Charging Optimization Implementation10分钟
End of Course Survey10分钟
References10分钟

1个作业总计30分钟

Module 3 Assignment30分钟

2个非评分实验室总计120分钟

Thermal Insulation Optimization - Programming Exercise60分钟
Battery Charging Optimization - Programming Exercise60分钟

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位教师

授课教师评分

(12个评价)

Wei Lu

University of Michigan

3 门课程17,471 名学生

提供方

University of Michigan

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学生评论

5 stars
61.64%
4 stars
24.65%
3 stars
5.47%
2 stars
4.10%
1 star
4.10%

显示 3/73 个

已于 Oct 1, 2025审阅

Nice overview of AI application for design engineers

已于 May 20, 2026审阅

Highly useful for mechanical engineering master's students

已于 Sep 18, 2025审阅

The course was perfect. It would be better to add practice labs to improve learning through hands-on application and confidence building.

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