AI courses

2430 Courses

新媒体与社会

这个课程提供的媒介社会学与新媒体研究,将深入探讨新媒体概论、媒介与社会以及新媒体批判等领域。通过这些延伸课程,将帮助学员更好地理解新媒体在现代社会中的角色和影响。 结合网络与新媒体以及互联网研究的基础课程,提供了一个扎实的专业基础。这些课程曾经是英美流行的主流课程,但随着时代变化,现在逐步分化和进化,以适应现代教育的需求。 立足于中国新文科发展的.
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大数据技术与应用

本课程以一系列大数据讲座为主线,突出实战性,激发学生学习兴趣和动力,促进学生理论与实践相结合,启发学生技术创新。注重结合应用实例融会贯通大数据中的理论方法和系统知识(平台、模块、工具),体会运用大数据技术解决实际问题的思路和效果。本课程兼顾信息类和非信息类学生。
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智能医学:新医科与新工科的天合之作

人类大脑虽仅重三磅(约1.5kg),但其复杂性堪比宇宙,故被称为“三磅宇宙”。本次讲座将带领同学们了解大脑的组织与结构,探究其高级认知功能,尤其是大脑与言语等通识知识。此外,还将探讨大脑与机器的交互新技术,如脑机接口及智能医学影像等前沿技术。
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设计思维与方法

Embark on a transformative journey with our course, focused on nurturing and sharpening design thinking skills. This program is meticulously crafted to enhance your capability in tackling complex professional challenges. It equips you with the ability to strategically plan, execute, and accomplish tasks with high quality and precision, aligning you.
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拥抱科技:面向未来的艺术与创新

本课程的构建,主要包含虚拟数字人、VR、XR和AIGC等技术在艺术和设计领域的创作应用。每个板块的内容都围绕这些技术展开探索,讨论技术如何拓展艺术和设计的边界、重塑创作景观,以及它们在实际应用中面临的挑战。
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人工智能基础

本课程全面介绍了人工智能的基础原理,涵盖四大方面:搜索与问题求解、知识与推理、学习与发现以及具体应用领域。搜索与问题求解涉及问题解决的基本原理、策略与图搜索以及博弈;知识与推理涵盖谓词逻辑、归结原理与确定性推理;学习与发现部分涉及机器学习知识,包括分类、回归和聚类算法;深度学习入门涉及图像识别、卷积神经网络、自然语言处理及循环神经网络。 通过本课程.
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人工智能基础

本课程专为电气信息类专业本科生设计,重点介绍人工智能的前沿技术及其应用基础。课程内容覆盖广泛,通过系统的知识讲解和丰富的研究案例,学生将拓宽视野,增进科学素养,并优化知识结构。结合最新的人工智能技术讨论,配以视频资料和文献,激发学生对各研究领域的兴趣,提高学习热情,掌握创新方法,培养将理论与实际相结合的能力,以及问题解决能力。与类似课程相比,本课程.
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管理信息系统-大数据赋能与模式创新

课程教学设计 本课程的教学设计系统且完备,围绕“用好系统”和“造好系统”两个核心主题,分为十章,回答了管理信息系统的“是什么”(第1、2章)、“技术基础是什么”(第3-5章)、“有什么用”(第6章)、及“怎么用”(第9-10章)等问题。从管理和业务人员的视角,探讨如何建设系统(第7-8章),引入了管理信息系统与区块链、元宇宙的结合以及算法在数据洞察中的应用等新颖观点和技.
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大数据与智能管理

本课程是MEM专业硕士的一项核心课程,专注于如何通过大数据与智能管理技术为企业管理实践中的数据要素赋能。课程内容兼具高水平的理论和解决复杂工程实践问题的实际应用能力,适合希望提升数字化管理能力的学习者。 提供者: XuetangX 课程类别: 人工智能课程, 大数据课程, 数字化转型课程, 预测分析课程, 数据挖掘课程, 文本挖掘课程, 数据建模课程, 决策支持系统课程, 分.
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高级工程造价管理

工程造价管理课程深入探讨工程建设项目的造价构成、计价原理及全寿命期造价管理。近年来,数字化和智能化技术推动了建筑行业的变革,造价管理融合了BIM、大数据、人工智能及区块链技术,形成了新的管理模式。 课程以工程造价管理基础知识为依托,聚焦行业热点和前沿。着眼于数字化、市场化、国际化、产业化和绿色低碳发展趋势。本课程涵盖六个主要部分:工程造价管理概.
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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!