AI courses

2015 Courses

走进电世界

《走进电世界》是一门专为非电类专业大学生和中学生开设的通识课程。其核心目的是让学生了解电子技术相关专业及课程的特点,机器人和智能汽车的基本理念及其最新发展状况,人工智能的基础知识,以及电子学与典型应用电路。在课程内容上,首先带领学生认识国内外电子类专业的特色、课程体系,并指导如何从高中阶段过渡到大学的电子专业学习。通过课程地图,学生可以清晰了解.
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脑科学与认知

大脑作为人类思维的中枢,是接受外界信号、形成意识和发出指令的核心机构。尽管脑科学已取得显著进展,仍有许多未解的谜团。作为21世纪的前沿科学之一,脑科学为我们理解自然和自身提供了深刻的视角。 《脑科学与认知》课程为生物医学工程、智能医学工程及人工智能专业的学生提供了探索脑与认知科学的理论和应用平台。本课程从基础到应用,全面概述脑科学和认知科学的基本.
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人工智能与创新

一场关于未来的革命正在悄然上演,创新已成为人工智能时代的主旋律。“人工智能与创新”课程基于POT-OBE和5E的育人理念和方法,面向所有非人工智能专业学生以及任何有兴趣驾驭AI去创新的学习者。课程目标在于培养能驾驭AI去创新的高手,而非AI专业人才,希望学习者能在这个飞速发展的时代中,主动拥抱AI,与之同行。 课程的第一部分为AI基础层,包括第1章和第2章,为学生推.
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研究生课程思政示范课

为强化研究生课程立德树人功能,北京理工大学研究生院要求授课教师在课程中明确德育职责,结合业务知识开展思政教育,挖掘教育元素以增强学生的家国情怀和责任感。通过结合学科特点及国防军工优势,将爱国情、强国志和报国行变为研究生的自觉行动。为了启发教师在教学中融入思政元素,课程思政案例被实际使用,评选出100门示范课并制作在线课程,展示学校在课程思政工作中.
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自然辩证法概论

想成为在科技创新领域的翘楚,掌握科技,并成为高层次的创新达人和领军人才吗?这不仅需要学习具体的创新技巧,还需要理解抽象的创新理念。要掌握这种理念,您可以通过学习《自然辩证法概论》这门课程来实现。虽然课程带有“哲学”色彩,因此显得“深奥”,但其坚持马克思主义立场,同时又极具科学性。 本课程首先从哲学的高度探讨人、自然与科技三者的互动之道,帮助学生辩.
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科技与社会

本课程以科技哲学和科学社会学交叉的视野思审视科学技术,特别是在马克思主义指导下,分析现代科技的本质特征和体系结构。同时,总结并概括科技发展的内在动力和发展模式,探索科技的社会功能,反思运行条件,以及社会治理关键问题。 通过学习本课程,学生将实现以下目标: 深刻理解科技发展与个人、社会、人类发展的紧密关联,全面认识科技的正面和负面影响。 初步掌握.
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现代西方哲学认知智慧

《现代西方哲学认知智慧》课程涵盖自19世纪中叶以来的主要西方哲学流派。这些流派涉及现代科技与人文学科,对未来哲学思维影响深远。课程通过四个板块——人文哲学、分析哲学、社会哲学及认知哲学——系统研究现代西方哲学。 课程适合哲学专业学生及对哲学、文化、历史感兴趣的人,帮助哲学本科生和研究生深入理解哲学基本理论。另外,课程也为非哲学专业学生提供了全面的人文素.
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智能社会中的知识产权法

在新文科建设背景下,本课程提供了一个独特的法学学习机会,以人工智能和法律为基础,专注于知识产权法。课程内容紧密跟随智能科技和社会的发展,通过理论与实践的结合,深入探讨智能社会对知识产权法的挑战和变革,同时回应社会热点问题和技术争议。 课程细分为八个章节:包括知识产权法视角下的人工智能、智能社会中的知识产权挑战、著作权法、商业秘密制度、专利法、.
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知识产权法专题

Join the cutting-edge MOOC offered by the Beijing Institute of Technology's School of Law. Taught by experienced researchers like Guo Dezhong, Yang Huaquan, and Pei Yi, the course provides valuable insights into Intellectual Property and Competition Law. The course specializes in: Leveraging interdisciplinary advantages: Focus on AI development.
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第四次工业革命与社会发展

第四次工业革命,简称“工业4.0”,自2013年德国汉诺威工业博览会提出以来,标志着工业和制造业的又一次重大变革。 由西安思源学院面向全校本科生推出的这门公共选修课,通过探讨第四次工业革命的概念、发展历程、相关技术及实际应用,以及其对社会发展的影响,帮助学生理解工业进步如何积极影响我们的生活和生态文明,并体验科技的力量。这门课程的授课对象为大二到大四的本科.
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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!