This course aims to teach everyone the basics of programming computers using Python. We cover the basics of how one constructs a program from a series of simple instructions in Python.
This course has been authored by one or more members of the Faculty of the Massachusetts Institute of Technology. Its educational objectives, methods, assessments, and the selection and presentation of its content are solely the responsibility of MIT. MIT gratefully acknowledges major support for this course, provided by IBM Research. This course on quantum information science is a collective effort to further advance knowledge and understanding in quantum information and quantum computing.
The purpose of this course is to show the basic ideas of quantum informatics, as well as the physical laws and basic mathematical principles. Much attention is paid to such phenomena as quantum entanglement, quantum parallelism, and quantum interference. It is these phenomena that underlie most of the known quantum protocols and algorithms, which are devoted to individual sections of this course.
Квантовые вычисления — это технологии будущего, в которых остро нуждаются уже в современном мире. Потребность в специалистах технологии будущего подтверждает актуальность данного курса сегодня. В течение курса учащиеся поймут где точки соприкосновения физики и информатики, знакомятся с алгоритмами для квантового компьютера, алгоритмами Шора и алгоритмами Гровера. По результатам обучения слушатели получат знания и навыки в области анализа и проектирования квантовых алгоритмов.
The elements of AI is a free online course for everyone interested in learning what AI is, what is possible (and not possible) with AI, and how it affects our lives – with no complicated math or programming required. By completing the course you can earn a LinkedIn certificate. People in Finland can also earn 2 ECTS credits through the Open University. The course is available from May 14, 2018.
This course, based on the award-winning class offered both at the Indian School of Business and at the McCombs School of Business at The University of Texas at Austin, developed by Prof. Raj Raghunathan (aka “Dr. Happy-smarts”) draws content from a variety of fields, including psychology, neuroscience, and behavioral decision theory to offer a tested and practical recipe for leading a life of happiness and fulfillment.
This course gives you easy access to the invaluable learning techniques used by experts in art, music, literature, math, science, sports, and many other disciplines. We’ll learn about the how the brain uses two very different learning modes and how it encapsulates (“chunks”) information. We’ll also cover illusions of learning, memory techniques, dealing with procrastination, and best practices shown by research to be most effective in helping you master tough subjects.
In today’s diverse consumer market, illustration exists through many forms of expression breaking with traditional roles of the illustrator. Through a series of projects, students will explore the translation, production and distribution of their visual ideas.
Gamification is the application of game elements and digital game design techniques to non-game problems, such as business and social impact challenges. This course will teach you the mechanisms of gamification, why it has such tremendous potential, and how to use it effectively.