background preloader

Centre for Innovation in Mathematics Teaching

Centre for Innovation in Mathematics Teaching

Women Mathematicians, Sponsored by Agnes Scott College Welcome to the web site for biographies of women in mathematics. These pages are part of an on-going project at Agnes Scott College in Atlanta, Georgia, to illustrate the numerous achievements of women in the field of mathematics. Here you can find biographical essays or comments on the women mathematicians profiled on this site, as well as additional resources about women in mathematics. Each time this page is reloaded, a randomly selected photo is displayed to the left (if Javascript is enabled). Click on the image to go to the profile of that woman. We also welcome contributions of biographical information or essays from those outside Agnes Scott College. Did you know? The AWM Research Symposium 2015 will be held at the University of Maryland, College Park, April 11-12, 2015. AWM Biographies Contest Agnes Scott College, founded in 1889, is a private liberal arts college for women in Decatur, a part of Atlanta, Georgia. Looking for college scholarships for women?

Mathematics - Department for Education The current national curriculum programmes of study for mathematics at key stages 3 and 4 have been disapplied with effect from 1 September 2013 and are no longer statutory. This means that schools are free to develop their own curriculums for mathematics that best meet the needs of their pupils, in preparation for the introduction of the new national curriculum from September 2014. Further details are available via the link on this page. Mathematics remains a compulsory national curriculum subject at all four key stages. The disapplied programmes of study for mathematics at key stages 3 and 4, and the attainment target level descriptions, are accessible from the links in these page

Mahi / DAT7 ยท GitLab DAT7 Course Repository Course materials for General Assembly's Data Science course in Washington, DC (6/1/15 - 8/12/15). Instructor: Kevin Markham Course Project Python Resources Codecademy's Python course: Good beginner material, including tons of in-browser exercises.DataQuest: Similar interface to Codecademy, but focused on teaching Python in the context of data science.Google's Python Class: Slightly more advanced, including hours of useful lecture videos and downloadable exercises (with solutions).A Crash Course in Python for Scientists: Read through the Overview section for a quick introduction to Python.Python for Informatics: A very beginner-oriented book, with associated slides and videos.Beginner and intermediate workshop code: Useful for review and reference.Python 2.7x Reference Guide: Kevin's beginner-oriented guide that demonstrates a ton of Python concepts through short, well-commented examples.Python Tutor: Allows you to visualize the execution of Python code. What's next?

The Math Forum Home Page The Math Forum has a rich history as an online hub for the mathematics education community. A debt of gratitude is owed to the dedicated staff who created and maintained the top math education content and community forums that made up the Math Forum since its inception. NCTM will continue to make many of the most popular parts of the Math Forum content accessible to the mathematics education community. Problems of the Week The Math Forum created Problems of the Week as an integrated program that features problems by standard and additional teacher support materials. Continue Your Math Education Conversations in MyNCTM! MyNCTM is an online community where NCTM members can ask questions, network and connect with each other, start and join discussions, find and upload resources, and interact with education experts. For many years mathematicians, scientists, engineers and others interested in mathematics have played "year games" via email and in newsgroups. Year Game for 2018 Browse the Archives

Courses Nick's Mathematical Puzzles Welcome to my selection of mathematical puzzles. What's new? See puzzle 160. The math puzzles presented here are selected for the deceptive simplicity of their statement, or the elegance of their solution. They range over geometry, probability, number theory, algebra, calculus, trigonometry, and logic. Explaining how an answer is arrived at is more important than the answer itself. Each puzzle is assigned a level of difficulty of between one and four stars, with four being the most difficult. The source for each problem is given at the bottom of the solution page. I welcome feedback of any kind. Some brief biographical information. Nick Back to top Mining of Massive Datasets The Open Source Data Science Masters by datasciencemasters

Related: