Artificial intelligence (AI) is a branch of computer science concerned with building smart machines capable of performing tasks that normally necessitate human intelligence. In other words, students of AI learn how to develop artificial intelligence applications that are inspired by the ways people learn, reason, and make decisions. \n
Students study advanced mathematics, engineering, computing, programming, and data structures to envision and create the AI technologies and systems that continue to transform so many areas of our lives \u2013 from agriculture, construction, and transportation to healthcare, human resources, manufacturing, marketing, and more.
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Once the subject matter of science fiction, artificial intelligence is no longer an alien concept. Today it is commonplace, streamlining business processes and enhancing consumer experiences.
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Health informatics allows clinicians to use electronic medical records to coordinate care and share information with other clinicians. Business informatics facilitates analysis and optimization of operational processes. Animal informatics focuses on designing technology that can help us understand how animals interact with their environment. These are just a few examples of the important role played by informatics specialists or \u2018informaticists.\u2019
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Degree programs in informatics prepare students to enter this growing and multi-faceted field. It has been said that data is the most important raw material of the 21st century. If this is true \u2013 and there is no reason to believe that it is not \u2013 then informatics may be among the century\u2019s most exciting fields.
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计算机和信息科学是一个由以下公共学位组成的学位类别：
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人工智能（AI）是计算机科学的一个分支，涉及构建能够执行通常需要人类智能的任务的智能机器。换句话说，AI的学生学习如何开发受人们学习，推理和做出决定的方式启发的人工智能应用程序。
学生研究高级数学，工程，计算，编程和数据结构，以设想和创建AI技术和系统，这些技术和系统将继续改变我们生活的许多领域 - 从农业，建筑和运输到医疗保健，人力资源，制造，制造，市场营销， 和更多。
一旦科幻小说的主题，人工智能不再是一个陌生的概念。如今，它是司空见惯的，简化业务流程并增强消费者的体验。
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健康信息学使临床医生可以使用电子病历来协调护理并与其他临床医生共享信息。业务信息学促进了运营过程的分析和优化。动物信息学重点是设计技术，可以帮助我们了解动物如何与环境互动。这些只是信息学专家或“信息主义者”的重要作用的一些示例。
信息学学位课程使学生准备进入这个成长中的多方面领域。据说数据是21世纪最重要的原材料。如果这是真的 - 没有理由相信它不是 - 那么信息学可能是本世纪最激动人心的领域之一。
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