Search result for Theoretical computer science Online Courses & Certifications
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Intro to Theoretical Computer Science
by Sebastian Wernicke , Sean Bennett , Sarah Norell- 0.0
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Approx. 2 months
At the end of this course, you will have a solid understanding of theoretical computer science. Learn the basic concepts in theoretical computer science. lesson 7 Ultimate Limits Problems that no computer can ever solve....
Free
Computing: Art, Magic, Science
by Bertrand Meyer , Nadia Polikarpova , Marco Piccioni- 0.0
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4 Weeks
Learn the basics of Information Technology and how to write quality programs in this introductory computer science course. Beyond programming, you will also get a glimpse at theoretical computer science, the set of mathematical techniques that underlie computation and makes today’s IT-based world possible. A glimpse of theoretical computer science...
$49
Complete Python Based Image Processing and Computer Vision
by Minerva Singh- 3.9
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5.5 hours on-demand video
Computer Vision Python : Image Recognition & Manipulation : Deep Learning Computer Vision Python : Image Analysis Python Complete Python Based Image Processing and Computer Vision With Conventional Techniques, Data Science and Deep Learning we will spend some time dealing with some of the theoretical concepts related to image processing and computer vision (and assocaited data science methods)....
$9.99
Computer Science: Algorithms, Theory, and Machines
by Robert Sedgewick , Kevin Wayne- 4.7
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Approx. 20 hours to complete
This course introduces the broader discipline of computer science to people having basic familiarity with Java programming. It covers the second half of our book Computer Science: An Interdisciplinary Approach (the first half is covered in our Coursera course Computer Science: Programming with a Purpose, to be released in the fall of 2018)....
Approximation Algorithms Part II
by Claire Mathieu- 4.8
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Approx. 33 hours to complete
By taking the two parts of this course, you will be exposed to a range of problems at the foundations of theoretical computer science, and to powerful design and analysis techniques. The course content and in particular the homework is of a theoretical nature without any programming assignments....
Understanding Artificial Intelligence through Algorithmic Information Theory
by Jean-Louis Dessalles- 0.0
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5 Weeks
Are there theoretical foundations on which Artificial Intelligence can be grounded? This course on Algorithmic Information will offer you such a theoretical framework. You will also understand that there are theoretical limits to what artificial intelligence can do. They understood that the concept of information belonged to computer science; that computer science could say what information means....
$49
Computer Simulations
by Martin Hilbert- 4.7
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Approx. 13 hours to complete
Big data and artificial intelligence get most of the press about computational social science, but maybe the most complex aspect of it refers to using computational tools to explore and develop social science theory. This course shows how computer simulations are being used to explore the realm of what is theoretically possible....
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CS50's Introduction to Artificial Intelligence with Python
by David J. Malan , Brian Yu- 0.0
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7 Weeks
Enroll now to gain expertise in one of the fastest-growing domains of computer science from the creators of one of the most popular computer science courses ever, CS50. You’ll learn the theoretical frameworks that enable these new technologies while gaining practical experience in how to apply these powerful techniques in your work....
$199
Causal Data Science with Directed Acyclic Graphs
by Paul Hünermund- 4.7
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5 hours on-demand video
Originally developed in the computer science and artificial intelligence field, they recently gained more and more traction also in other scientific disciplines (such as, e. The course provides a good overview of the theoretical advances that have been made in causal data science during the last thirty year....
$13.99
理论计算机科学基础 | Introduction to Theoretical Computer Science
by 刘 田- 0.0
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4 Weeks
本课程内容涵盖了形式语言与自动机理论、可计算性理论、计算复杂性理论等最基本的那部分内容。 This course covers the most basic parts of formal language and automata theory, computability theory and computational complexity theory. 点击上方绿色按钮报名。 本课程的 教学内容包括：形式语言与自动机理论、可计算性理论、计算复杂性理论等三个部分。这些内容分别回答下列问题：（1）有哪些计算装置？它们的能力如何？ （2）什么是计算？哪些问题是（不）可计算的？（3）什么是有效计算？哪些问题是（不）可有效计算的？通过这门课程的学习，学生将了解计算理论的基础知 识，掌握有效计算的概念。 本课程的教学方式包括教学录像片段（每段录像8-20分钟，内含1-2个测验问题），教学录像之外的书面作业，以及（必须参加的）期末考试。 本课程课程的总长度为8周，每周教学录像长度大约120分钟。需要的预备知识是离散数学（集合论、数理逻辑、图论等）的基本概念。 本课程需要哪些资源才能进行学习？ 答：一台联网的电脑，纸和笔，以及最重要的好奇心。 本课程最有趣的内容是什么？ 答：本课程将告诉你计算机不可能做到的一些事情。 本课程需要什么先修课程？ 答：离散数学的基础知识，包括集合、关系、函数、逻辑、图等。 点击上方绿色按钮报名。 语言与自动机理论、可计算性理论、计算复杂性理论等最基本的那部分内容 什么是有效计算, 什么是计算 学生将了解计算理论的基础知识，掌握有效计算的概念 Background and history of automata, computability and computational complexity theories What issues are not calculated and why...
$49
