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California Institute of Technology XuetangX

认知智能：来自心理学，脑科学和人工智能的交叉学科

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California Institute of Technology XuetangX

职业素质英语

《职业素质英语》课程于2021年5月入选教育部课程思政示范课程。本课程针对高职学生自身特点，在教学中加入职场知识和课程思政两项重要内容，使学生具有职业素养的同时树立正确的人生观、世界观、价值观。 课程坚持问题导向、行动导向、成果导向，结合教学实践，不断革新教法，并总结出7C思维培养理念和5A教学设计理念。通过探索符合国家战略发展、学校办学定位及学生学情.
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California Institute of Technology XuetangX

跨境电商实务

《跨境电商实务》是一门专为电子商务、国际贸易及相关专业学生设计的核心课程，旨在为学生搭建起理论与实践的桥梁，深入探索跨境电商的广阔领域。 本课程全面覆盖了跨境电商的各个环节，从市场研究、产品选品、平台运营、营销推广，到跨境物流、支付解决方案、客户服务及数据分析等，力求使学生全面掌握跨境电商的运营流程与关键技能。 课程注重实战操作，通过模拟实训.
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California Institute of Technology XuetangX

教育数字化全球对话2024：人工智能赋能高等教育

加入我们，参与教育数字化全球对话2024，探索如何通过人工智能推动高等教育的变革。专家们将深入讨论AI技术如何在全球范围内革新大学的教学方法、学习体验以及机构运营。这将是一次充满远见卓识的网络研讨会，不容错过。
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California Institute of Technology XuetangX

2024清华高等教育论坛——“可能性的边界：人工智能赋能高等教育”

Visit XuetangX for more information Discover the exciting prospects at the 2024 Tsinghua Higher Education Forum, where experts will dive into the expansive role of artificial intelligence in transforming higher education. Engage in stimulating discussions that aim to redefine educational boundaries, elevate teaching methods, and revolutionize l.
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California Institute of Technology XuetangX

数字医疗概论

国家高度重视医疗信息化人才的培养。《数字医疗概论》课程为学生提供全面了解医疗信息化建设的机会，是医学信息工程专业的核心课程。课程内容涵盖数字化医疗软件、硬件、标准、人员素养、信息技术、基础设施、安全等八个部分。 通过这门课程，学生将了解到数字化医疗领域的应用现状以及相关技术和方法，系统反映数字医疗的特点。课程还引入计算机前沿技术，并探讨数字医疗.
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California Institute of Technology XuetangX

数字经济创新创业

Institution: XuetangX Categories: Artificial Intelligence Courses Fintech Courses Generative AI Courses Cybersecurity Courses Entrepreneurship Courses Blockchain Development Courses Data Analytics Courses Digital Economy Courses
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California Institute of Technology XuetangX

趣味可拓创新思维训练

人工智能技术的飞速发展正在快速改变着学习与工作的生活方式。在这个数智化时代，单纯掌握知识已经远远不够，更为重要的是知识的创新应用能力。创意无价，生成创意解决难题正成为社会急需的核心能力。灵感虽然珍贵，面对各种复杂难题，你是愿意用30年时间沉淀经验，还是用2天时间顿悟其奥秘？ 基于中国原创学科可拓学设计研发的这门创新思维训练课程，将集合论、哲学、人工.
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California Institute of Technology XuetangX

金融科技模式与创新

本课程提供对金融科技领域最新模式和创新技术的深入理解，涵盖区块链技术、人工智能在金融服务中的应用、数字支付系统及大数据分析等前沿话题。学生通过案例分析，实现理论与实践结合，掌握金融科技的实际应用和发展趋势。非常适合对金融科技有兴趣的学生，助力在领域内取得突破和发展。 开课平台：XuetangX 分类：人工智能课程, 机器学习课程, 大数据课程, 金融科技课程,.
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California Institute of Technology XuetangX

大学计算机基础

1. 注重思维和能力的培养：课程以培养学生的思维和应用能力为目标，以计算思维为切入点，以问题求解为目的，锻炼学生利用计算机的基础理论和工具分析问题、解决问题的能力。 2. 问题导入模式：以问题导入的方式开启各章的内容讲解。采用二维动画和故事性的叙事方式，引出该章所涉及的知识点，并明确该部分内容在利用计算思维求解问题过程中的作用。 3. 知识结构重组：课.
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Artificial intelligence is the ability of a machine to imitate human thinking. This is the name of modern technology with the help of which electronic devices, programs and robots can solve various problems using given algorithms. We tell you where to start studying AI course and why it is needed.

What is AI course and why is it so interesting?

The topic of artificial intelligence course and machine thinking interested scientists even before the invention of computers, and after the advent of computers it reached a new level. In the 1950s and 60s, issues related to the creation and use of artificial intelligence began to be widely discussed in society.

The answer to this question is also difficult to find because there are no clear criteria for the intelligence of a machine. If this is the ability to make logical conclusions, then the computer has long surpassed humans. When it comes to flexibility and originality of thinking, humans are still superior to even the most modern intelligent devices.

AI is actively used in a variety of fields, the list of which is expanding every year, and not only techies, but also humanists—specialists in project management, advertising and PR, psychologists, economists, and linguists—can find their place in this area.

What can artificial intelligence course programs do?

Modern artificial intelligence technologies make it possible to create devices and programs that:

find the maximum possible solutions to one situation; machine intelligence can quickly analyze all options and calculate which one will be the cheapest, safest, and most effective. The machine’s responses will depend on what task a person has given it. For example, AI courses online can show how to calculate which model or product is more profitable to produce based on data on the cost of consumables and sales volumes.

can answer any questions integrated into their system; at the same time, the machine can not only find a ready-made answer in the database, but also search for it using intermediate leading questions that gradually narrow the search area.

collect and process large amounts of information, analyze it, combine unrelated pieces of information; This is how, for example, the image search system works in Google.

Artificial intelligence is a technology not only of the present, but also of the future, and specialists in this field will not have problems finding employment in the next few decades. Huge investments are already being attracted to this area, which means there will be no problems with remuneration for workers involved in the development, production and implementation of the best AI courses technologies from AI Eeducation.

Contribution to science and culture

Artificial intelligence and the creation of intelligent programs and devices is an area in which new discoveries are constantly being made. By working on artificial intelligence, scientists and engineers are at the forefront of world science, moving humanity forward. In addition, the development of artificial intelligence and its introduction into our lives gives rise to many ethical and philosophical questions, the resolution of which requires not a machine mind, but a human mind capable of creative thinking.

Creation

In the field of creating AI, not only software developers are in great demand, but also people with creative thinking who are able to come up with and promote new ideas. To work in this field, it is important to be able to think outside the box. A separate promising area that a creative person can take up is teaching a machine to create works of art. Already today computers draw pictures, write music and poetry. In the near future, perhaps they will take over the creation of books, films and cartoons.

Mastering new skills

To work in the field of artificial intelligence, you need a good knowledge of mathematics and basic programming. For the study of AI, the two most important branches of mathematics are linear algebra and probability theory. The most popular programming language in this area is Python, followed by R and Lua. Knowledge of the English language will also be useful - the most modern scientific data, articles, reports on achievements and experiments are usually published in English!