Understanding Einstein: The Special Theory of Relativity About the Course In this course we will seek to “understand Einstein,” especially focusing on the special theory of relativity that Albert Einstein, as a 26-year-old patent clerk, introduced in his so-called “miracle year” of 1905. Our goal will be to go behind the myth-making and beyond the popularized presentations of relativity in order to gain a deeper understanding of both Einstein the person and the concepts, predictions, and strange paradoxes of his theory. Some of the questions we will address include: How did Einstein come up with his ideas? Students may choose one of three approaches to the course: a more quantitative approach, a more qualitative approach, or an auditing approach. Course Syllabus Week One (Einstein in Context): Einstein quotes of the week; a thought experiment involving relativity; physics and Einstein circa 1900. Week Five (Spacetime Switching): Einstein quotes of the week; the Lorentz transformation; leading clocks lag; the ultimate speed limit. Course Format
Python In One Easy Lesson Nick Parlante Nov 2010 This is a one-hour introduction to Python used for Stanford's CS107. This material should work as an introduction for any experienced programmer. We'll look at some core Python features and get a feel for how it compares to other languages. Python is a popular open source, cross-platform language in the "dynamic language" niche, like Javascript, Ruby, Lisp, and Perl. Unlike C/C++, Python defers almost everything until runtime. This is how Python works, in contrast to the C/C++ style of knowing the type of every variable and using that for compile time code generation. x = x + x In Python, x could be an int, or a string, or who knows what. Interpreter and Variables You can run the Python interpreter and type code directly in to it -- a good way to try little experiments. Strings Strings are delimited with ' or " or """, and are immutable. >>> a = 'hello' >>> len(a) 5 >>> a[0] 'h' >>> a + '!!!' Lists [ ], For Loop List literals are enclosed in square brackets. #! Sorting
Introdução à Programação ( em Java) About the Course Ce cours présente des concepts de base de la programmation tels que : variables, expressions, structures de contrôle, fonctions/méthodes, ...en les illustrant dans la syntaxe du langage Java. Ces notions simples seront pratiquées de façon intensive pour vous faire réaliser de façon de plus en plus autonome les étapes allant de la conception d'un programme (algorithme) à sa mise en oeuvre concrète. Ce cours de base est conçu pour être prolongé par les aspects orienté-objet, présentés dans le cours «Introduction à la programmation orientée objet (en Java)». Course Syllabus Introduction à JavaVariablesExpressionsStructures de contrôle en JavaTableauxChaînes de caractèresFonctions/Méthodes et réutilisabilitéE/S de base Recommended Background Aucune expérience préalable de la programmation n'est supposée. Course Format Nos cours sont donnés sous forme de courtes séquences vidéo d'environ 10 minutes ponctuées d'une ou deux questions. Aurai-je un certificat à la fin du cours? Oui.
Coursera Blog Greek and Roman Mythology About the Course Myths are traditional stories that have endured over a long time. Some of them have to do with events of great importance, such as the founding of a nation. Course Syllabus Week 1: Homer, epic poetry, and Trojan legends Week 2: Heroes and suffering Week 3: This World and other ones Week 4: Identity and signs Week 5: Gods and humans Week 6: Religion and ritual Week 7: Justice Week 8: Unstable selves Week 9: Writing myth in history Week 10: From myths to mythology Recommended Background No special background is needed other than the willingness and ability to synthesize complex texts and theoretical material. In-course Textbooks As a student enrolled in this course, you will have free access to selected chapters and content for the duration of the course. Suggested Readings We will be covering the following in class: I strongly recommend purchasing or borrowing from a library the English translations mentioned in the welcome email and listed below. Greek Tragedies, Vol.
A Python Book: Beginning Python, Advanced Python, and Python Exercises 2.2 Regular Expressions For more help on regular expressions, see: 2.2.1 Defining regular expressions A regular expression pattern is a sequence of characters that will match sequences of characters in a target. The patterns or regular expressions can be defined as follows: Literal characters must match exactly. Because of the use of backslashes in patterns, you are usually better off defining regular expressions with raw strings, e.g. r"abc". 2.2.2 Compiling regular expressions When a regular expression is to be used more than once, you should consider compiling it. import sys, re pat = re.compile('aa[bc]*dd') while 1: line = raw_input('Enter a line ("q" to quit):') if line == 'q': break if pat.search(line): print 'matched:', line else: print 'no match:', line Comments: We import module re in order to use regular expresions.re.compile() compiles a regular expression so that we can reuse the compiled regular expression without compiling it repeatedly. 2.2.3 Using regular expressions Notes:
Ciência da Computação 101 UPDATE: we're doing a live, updated MOOC of this course at stanford-online July-2014 (not this Coursera version). See here: CS101 teaches the essential ideas of Computer Science for a zero-prior-experience audience. Computers can appear very complicated, but in reality, computers work within just a few, simple patterns. CS101 demystifies and brings those patterns to life, which is useful for anyone using computers today. In CS101, students play and experiment with short bits of "computer code" to bring to life to the power and limitations of computers. Here is another video Nick created for this class.
Web Development Course Online - How To Build A Blog When does the course begin? This class is self paced. You can begin whenever you like and then follow your own pace. It’s a good idea to set goals for yourself to make sure you stick with the course. How long will the course be available? This class will always be available! How do I know if this course is for me? Take a look at the “Class Summary,” “What Should I Know,” and “What Will I Learn” sections above. Can I skip individual videos? Yes! What are the rules on collaboration? Collaboration is a great way to learn. Why are there so many questions? Udacity classes are a little different from traditional courses. What should I do while I’m watching the videos? Learn actively! Gamification About the Course Gamification is the application of digital game design techniques to non-game contexts, such as business, education, and social impact challenges. Video games are the dominant entertainment form of modern times because they powerfully motivate behavior. Game mechanics can be applied outside the immersive environments of games themselves, to create engaging experiences as well as assign rewards and recognition. Over the past few years, gamification adoption has skyrocketed. Companies use game thinking for employee motivation in human resources, team building, productivity enhancement, training, health and wellness, sustainability, and innovation. Game thinking means more than dropping in badges and leaderboards to make an activity fun or addicting. Subtitles forall video lectures available in: English, Russian (provided by Digital October), Turkish (Koc University), and Ukrainian (provided by Bionic University) Course Syllabus The course is divided into 12 units. 1. 2. 3.
Python Introduction - Google's Python Class - Google Code Python is a dynamic, interpreted language. Source code does not declare the types of variables or parameters or methods. This makes the code short and flexible, and you lose the compile-time type checking in the source code. Python tracks the types of all values at runtime and flags code that does not make sense as it runs. (todo: link here to the companion video segment for this section) An excellent way to see how Python code works is to run the Python interpreter and type code right into it. Python Program Python source files use the ".py" extension. Here's a very simple Python hello.py program (notice that blocks of code are delimited strictly using indentation rather than curly braces -- more on this later!) #! # import modules used here -- sys is a very standard oneimport sys # Gather our code in a main() functiondef main(): print 'Hello there', sys.argv[1] # Command line args are in sys.argv[1], sys.argv[2] ... # sys.argv[0] is the script name itself and can be ignored Python Module
27+ ресурсов для онлайн-обучения В настоящее время активно развивается система дистанционного обучения, теперь уже не является проблемой получение полноценного образования практически по любому предмету дистанционно. Онлайн-обучение имеет ряд преимуществ – обучение в индивидуальном темпе, свобода и гибкость, доступность, социальное равноправие. В сети появляется все больше сервисов, помогающих получать новые знания. Статья содержит перечень ресурсов для онлайн-обучения, представляющих интерес преимущественно для программистов. 1. MIT’s Open Courseware предлагает 2100 курсов разнообразной тематики, в том числе Electrical Engineering и Computer Science. 2. Coursera запущена в апреле и уже преодолела отметку в 1 миллион студентов. 3. Udacity – бесплатный сервис, в настоящее включает 14 классов, где «Вы обучаетесь, решая сложные проблемы… со всемирно известными преподавателями университетов». 4. 5. Mozilla собрала большую коллекцию ресурсов для обучения веб-технологиям. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15.
Learn to Program: The Fundamentals About the Course A computer program is a set of instructions for a computer to follow, just as a recipe is a set of instructions for a chef. Laptops, kitchen appliances, MP3 players, and many other electronic devices all run computer programs. Programs have been written to manipulate sound and video, write poetry, run banking systems, predict the weather, and analyze athletic performance. This course is intended for people who have never seen a computer program. It will give you a better understanding of how computer applications work and teach you how to write your own applications. Recommended Background This course is intended for people who have never programmed before. Suggested Readings This online course is intended to be self-contained, but if you want additional reading material you will find that Practical Programming (2nd edition): An Introduction to Computer Science Using Python 3 matches the course material closely. Course Format