Computer Science Courses

112 Courses

计算机是如何实现智能的

Join a captivating Chinese language lecture by Tsinghua University, delving into how computers achieve intelligence. This course uncovers the foundational concepts of artificial intelligence and computer intelligence, highlighting the processes of information processing, decision making, and the simulation of human cognitive functions. Learn.
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AI TIME PhD ICLR专场六

Delve into the forefront of artificial intelligence and machine learning research during the AI TIME PhD ICLR专场六 session. This expertly curated event brings together leading minds in academia and industry to explore and discuss cutting-edge topics, all delivered in Mandarin. Attendees will gain valuable insights into recent advancements in ne.
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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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Full Stack Web Development Masterclass: Bootcamp

Join the "Full Stack Web Development Masterclass: Bootcamp" on Udemy and transform your coding skills from zero to hero. Dive into the world of complete development as you master JavaScript, Python, and MySQL databases. This comprehensive course is tailored for aspiring developers and seasoned coders aiming to expand their proficiency in ful.
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清华大学计算机科学与技术系六十周年系庆学术报告(三)人工智能

六十周年系庆学术报告是清华大学计算机系建系六十周年的庆祝活动之一。组织这一系列学术报告的目的是:通过邀请国内外学术界与产业界知名的学者、专家做专题演讲,介绍国际前沿研究及产业发展动向,分享他们的战略思考与成果,实现在交流中找到差距,明确方向,从而促进清华大学计算机学科进一步向前发展。 六十周年系庆学术报告是一场学术盛宴。报告的演讲者都是各个领域的.
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C and Go: Classical and Modern Programming

Join the University of Adelaide's comprehensive specialization in programming, specifically tailored for enthusiasts and beginners alike. Dive deep into the classical language of C and embrace the modern advancements of Go. This specialization, available through Coursera, encompasses four insightful courses: two dedicated to mastering program.
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The Complete 5 Volume Series: If You Can Cook, You Can Code

Unlock the secrets of programming with the engaging course series, "If You Can Cook, You Can Code." This unique 5-in-1 bundle provides a beginner-friendly introduction to the world of computer science by drawing parallels to the art of cooking. Whether you're looking to grasp the fundamentals of programming, explore the vast realms of AI and Bi.
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Full Stack Web Development with Python and Django Course

Embark on a transformative learning journey with our Full Stack Web Development with Python and Django course on Udemy. This course is designed for everyone who aspires to become a proficient web developer. Gain hands-on experience in building dynamic websites and powerful web applications using modern technologies such as HTML, CSS, Bootstra.
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5-in-1 Mega Course: Python, Javascript, React JS, CSS, AI

Embark on a transformative learning journey with the 5-in-1 Mega Course: Python, Javascript, React JS, CSS, and AI, offered by Udemy. This all-encompassing course equips you with essential web development skills while guiding you to create your own AI Assistant. Dive deep into Python, leverage machine learning, and harness the power of ChatGPT.
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What kind of career can you pursue with a Computer Science degree?

Computer Science, or CS, is the science of the methods and processes of collecting, storing, processing, transmitting, analysing and evaluating information using computer technology to enable its application to decision-making.

Introduction to Computer Science AI

There are similar fields, such as data science or software engineering. Some of them can be considered part of Computer Science, but there is still a difference in terms: Computer Science is a broader concept. They study computer technology and information representation as a whole, rather than separate areas such as development. To understand Computer Science in depth, you need a good mathematical apparatus. Unlike many IT applications, this field is strongly related to maths. Computer Science can be studied in higher education institutions in technical specialities dedicated to information technology. But you can also master them on your own with computer science artificial intelligence courses.

Learning Outcomes and Skills

Computer Science is very broad, so we cannot give a complete list of the fields it includes. Let us give examples of theoretical and practical disciplines related to it at computer science ai courses.

Mathematics

Mathematical analysis, linear algebra and other disciplines are also important, but the discipline with the greatest connection to computer science is discrete mathematics. It studies "discontinuous", finite, that is, discrete structures. There are a huge number of algorithms based on this maths, which are used in various branches of IT. Discrete mathematics includes graph theory, finite automata, combinatorics and many other areas.

Theoretical Computer Science

This is the fundamental science that deals with information: how it is represented, stored, and transmitted. Theoretical computer science works with abstract concepts and theories. The term "fundamental" means that this science does not involve creating something in practice: it may describe a new approach to storing information, but not realise a machine that stores it that way. To theoretical computer science we can refer information theory and coding theory - the latter is devoted to the transformation of information into codes. The study of algorithms and the structure of programming languages also belongs to this area.

Programming languages

Computer science is not the same as programming, although the spheres are related. CS studies not so much the peculiarities of languages and the ability to apply them, but their internal structure in general. It is how programming languages are arranged, what their structure is, how they are implemented and what they are based on. Designing programming languages, their classification, analyses belong to computer science.

Career Opportunities and Enrollment Details

If you have studied at an artificial intelligence course for computer science, you will have learnt many technical and non-technical skills that are highly valued by employers, from leadership to programming. The increasing use of computer science means you have a wide range of choices in a wide range of highly specialised fields. With computer technology playing an ever-increasing role in all aspects of modern life, you are likely to find your computing skills in demand in many different industries. These include: financial organisations, management consulting firms, software development firms, communications companies, data warehouses, multinational companies (IT related, financial services and others), government agencies, universities and hospitals. However, it is not surprising that most graduates of the computer science with ai course hold positions in the computer industry!