Elementary Statistics Concepts. In this introduction, we will briefly discuss those elementary statistical concepts that provide the necessary foundations for more specialized expertise in any area of statistical data analysis.
The selected topics illustrate the basic assumptions of most statistical methods and/or have been demonstrated in research to be necessary components of our general understanding of the "quantitative nature" of reality (Nisbett, et al., 1987). We will focus mostly on the functional aspects of the concepts discussed and the presentation will be very short. Further information on each of the concepts can be found in statistical textbooks. Recommended introductory textbooks are: Kachigan (1986), and Runyon and Haber (1976); for a more advanced discussion of elementary theory and assumptions of statistics, see the classic books by Hays (1988), and Kendall and Stuart (1979). What are Variables? Variables are things that we measure, control, or manipulate in research. Correlational vs. Dependent vs. Language Learning with Livemocha.
Academic Earth. UC Berkeley Video and Podcasts for Courses & Events. French in Action. Due to licensing agreements, online viewing of the videos for this resource is restricted to network connections in the United States and Canada.
Orientation An introduction to French in Action: its creation, its components, and its functioning. How to work with the video programs and how to integrate them with the audio and print components. This is the only program in English; the others are entirely in French. Planning and Anticipating I Greeting and leave-taking; talking about health; expressing surprise; planning and anticipating; expressing decisiveness and indecisiveness. Subject pronouns; masculine and feminine adjectives and nouns; definite and indefinite articles; immediate future; agreement in gender and number; aller; être; present indicative of -er verbs.
Planning and Anticipating II Greeting and leave-taking; talking about health; expressing surprise; planning and anticipating; expressing decisiveness and indecisiveness. This is CS50 OpenCourseWare. This is CS50 OpenCourseware.
Computer Science 50 (otherwise known as CS50) is Harvard College's introductory course for majors and non-majors alike, a one-semester amalgam of courses generally known as CS1 and CS2 taught mostly in C. Even if you are not a student at Harvard, you are welcome to "take" this course via cs50.tv by following along via the Internet. (The course's own website is at www.cs50.net.) Available at right are videos of lectures, sections (aka "recitations" or "precepts"), and seminars along with PDFs of all handouts. Also available at right are the course's problem sets and quizzes. If you're a teacher, you are welcome to adopt or adapt these materials for your own course, per the license.
If you'd like to take this course for real (on Harvard's campus or via the Internet) in order to receive feedback on work, grades, and a transcript, the course will next be offered through Harvard Extension School (as "Computer Science E-52") in Fall 2013. Djm you are free: CC50. Open Yale Courses. Your Free Online School: Courses, Video Lectures, Documentaries, Images, Books and more. Academic Video Lectures. Khan Academy. Free Online Course Materials.