课程信息

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第 2 门课程(共 5 门)

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初级

完成时间大约为18 小时

建议:4 weeks of study, 2-5 hours/week...

英语(English)

字幕:英语(English)

您将学到的内容有

  • Define and discuss big data opportunities and limitations.

  • Work with IBM Watson and analyze a personality through Natural Language Programming (NLP).

  • Examine how AI is used through case studies.

  • Examine and discuss the roles ethics play in AI and big data.

100% 在线

立即开始,按照自己的计划学习。

第 2 门课程(共 5 门)

可灵活调整截止日期

根据您的日程表重置截止日期。

初级

完成时间大约为18 小时

建议:4 weeks of study, 2-5 hours/week...

英语(English)

字幕:英语(English)

提供方

加州大学戴维斯分校 徽标

加州大学戴维斯分校

教学大纲 - 您将从这门课程中学到什么

1

1

完成时间为 3 小时

Getting Started and Big Data Opportunities

完成时间为 3 小时
10 个视频 (总计 94 分钟), 3 个阅读材料, 1 个测验
10 个视频
Course Introduction6分钟
Big Data Overview2分钟
What is "Big Data"?14分钟
Digital Footprint5分钟
Political Data-fusion and No-Sampling (Part 1)14分钟
Political Data-fusion and No-Sampling (Part 2)3分钟
Real-time11分钟
Machine Learning5分钟
Machine Learning Recommender Systems11分钟
3 个阅读材料
About UCCSS10分钟
A Note From UC Davis10分钟
Optional/Complementary10分钟
1 个练习
Module 1 Quiz30分钟
2

2

完成时间为 3 小时

Big Data Limitations

完成时间为 3 小时
8 个视频 (总计 52 分钟), 1 个阅读材料, 3 个测验
8 个视频
Big Data Limitations2分钟
Footprint ≠ Representativeness10分钟
Data ≠ Reality6分钟
Meaning ≠ Meaningful4分钟
Discrimination ≠ Personalization8分钟
Correlation ≠ Causation6分钟
Past ≠ Future10分钟
1 个阅读材料
Welcome to Peer Review Assignments!10分钟
2 个练习
Natural Language Processing (NLP) Assignment Task5分钟
Module 2 Quiz30分钟
3

3

完成时间为 3 小时

Artificial Intelligence

完成时间为 3 小时
15 个视频 (总计 105 分钟), 1 个阅读材料, 1 个测验
15 个视频
A Short History of AI9分钟
State of the Art5分钟
The Most Intelligent Gamer4分钟
Search and Robotics7分钟
Vision and Machine Learning6分钟
AI Challenges3分钟
Moral Frames7分钟
Predictions From Morals6分钟
Moral Brain Signatures6分钟
Computational fMRI11分钟
(A Personal) History of Dialogue Systems6分钟
The Art of Dialogue10分钟
Making Conversations10分钟
AI Telling Stories7分钟
1 个阅读材料
Optional/Complementary10分钟
1 个练习
Module 3 Quiz30分钟
4

4

完成时间为 2 小时

Research Ethics

完成时间为 2 小时
13 个视频 (总计 105 分钟), 1 个阅读材料, 1 个测验
13 个视频
Origins: Unethical Medical Research8分钟
Unethical Social Research10分钟
Taking Responsibility12分钟
The Common Rule8分钟
Ethical Computational Social Science10分钟
Concerns of an AI Pioneer5分钟
Walker on Ethics10分钟
Shelton on Ethics7分钟
Language Acquisition (Complementary)6分钟
Modeling Framework (Complementary)9分钟
Computational Model (Complementary)6分钟
Lessons Learned (Complementary)6分钟
1 个阅读材料
Slaughterbots10分钟
1 个练习
Module 4 Quiz30分钟

关于 Computational Social Science 专项课程

For more information please view the Computational Social Science Trailer Digital technology has not only revolutionized society, but also the way we can study it. Currently, this is taken advantage of by the most valuable companies in Silicon Valley, the most powerful governmental agencies, and the most influential social movements. What they have in common is that they use computational tools to understand, and ultimately influence human behavior and social dynamics. An increasing part of human interaction leaves a massive digital footprint behind. Studying it allows us to gain unprecedented insights into what society is and how it works, including its intricate social networks that had long been obscure. Computational power allows us to detect hidden patterns through analytical tools like machine learning and to natural language processing. Finally, computer simulations enable us to explore hypothetical situations that may not even exist in reality, but that we would like to exist: a better world. This specialization serves as a multidisciplinary, multi-perspective, and multi-method guide on how to better understand society and human behavior with modern research tools. This specialization gives you easy access to some of the exciting new possibilities of how to study society and human behavior. It is the first online specialization collectively taught by Professors from all 10 University of California campuses....
Computational Social Science

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