Online courses directory (391)

A short intervention designed to change students' relationships with math - this course is for teachers of math (K-12) or for other helpers of students, such as parents.

A short intervention designed to change students' relationships with math - this course is for teachers of math (K-12) or for other helpers of students, such as parents.

Statistics 2 at Berkeley is an introductory class taken by about 1000 students each year. Stat2.2x is the second of three five-week courses that make up Stat2x, the online equivalent of Berkeley's Stat 2.

The focus of Stat2.2x is on probability theory: exactly what is a random sample, and how does randomness work? If you buy 10 lottery tickets instead of 1, does your chance of winning go up by a factor of 10? What is the law of averages? How can polls make accurate predictions based on data from small fractions of the population? What should you expect to happen "just by chance"? These are some of the questions we will address in the course.

We will start with exact calculations of chances when the experiments are small enough that exact calculations are feasible and interesting. Then we will step back from all the details and try to identify features of large random samples that will help us approximate probabilities that are hard to compute exactly. We will study sums and averages of large random samples, discuss the factors that affect their accuracy, and use the normal approximation for their probability distributions.

Be warned: by the end of Stat2.2x you will not want to gamble. Ever. (Unless you're really good at counting cards, in which case you could try blackjack, but perhaps after taking all these edX courses you'll find other ways of earning money.)

The fundamental approach of the series was provided in the description of Stat2.1x and appears here again: There will be no mindless memorization of formulas and methods. Throughout the course, the emphasis will be on understanding the reasoning behind the calculations, the assumptions under which they are valid, and the correct interpretation of results.

FAQ

• What is the format of the class?
  • Instruction will be consist of brief lectures and exercises to check comprehension. Grades (Pass or Not Pass) will be decided based on a combination of scores on short assignments, quizzes, and a final exam.
• How much does it cost to take the course?
  • Nothing! The course is free.
• Will the text of the lectures be available?
  • Yes. All of our lectures will have transcripts synced to the videos.
• Do I need to watch the lectures live?
  • No. You can watch the lectures at your leisure.
• Will certificates be awarded?
  • Yes. Online learners who achieve a passing grade in a course can earn a certificate of achievement. These certificates will indicate you have successfully completed the course, but will not include a specific grade. Certificates will be issued by edX under the name of BerkeleyX, designating the institution from which the course originated.
• Can I contact the Instructor or Teaching Assistants?
  • Yes, but not directly. The discussion forums are the appropriate venue for questions about the course. The instructors will monitor the discussion forums and try to respond to the most important questions; in many cases response from other students and peers will be adequate and faster.
• Do I need any other materials to take the course?
  • If you have any questions about edX generally, please see the edX FAQ.

Learn some of the main tools used in statistical modeling and data science. We cover both traditional as well as exciting new methods, and how to use them in R.

Provides a firm grounding in the foundations of probability and statistics, the course focuses on real examples from the medical literature and popular press

Provides a firm grounding in the foundations of probability and statistics, the course focuses on real examples from the medical literature and popular press.

By Luca Trevisan

This course provides a graduate-level introduction to stellar astrophysics. It covers a variety of topics, ranging from stellar structure and evolution to galactic dynamics and dark matter.

This topic will add a ton of tools to your algebraic toolbox. You'll be able to multiply any expression and learn to factor a bunch a well. This will allow you to solve a broad array of problems in algebra. Factoring Special Products. Example 1: Factoring difference of squares. Factoring difference of squares 1. Example 2: Factoring difference of squares. Factoring difference of squares 2. Factoring to produce difference of squares. Factoring difference of squares 3. Example: Factoring perfect square trinomials. Example: Factoring a fourth degree expression. Example: Factoring special products. Multiplying Monomials. Dividing Monomials. Multiplying and Dividing Monomials 1. Multiplying and Dividing Monomials 2. Multiplying and Dividing Monomials 3. Monomial Greatest Common Factor. Multiplying binomials word problem. FOIL for multiplying binomials. Multiplying Binomials with Radicals. Multiplying binomials example 1. FOIL method for multiplying binomials example 2. Square a Binomial. Special Products of Binomials. Multiplying binomials to get difference of squares. Squaring a binomial. Multiplying expressions 0.5. Squaring a binomial example 2. Classic multiplying binomials video. Multiplying expressions 1. Factoring and the Distributive Property 3. Factoring linear binomials. Factoring linear binomials. Factoring and the Distributive Property. Factoring and the Distributive Property 2. Factor expressions using the GCF. Factoring quadratic expressions. Examples: Factoring simple quadratics. Example 1: Factoring quadratic expressions. Factoring polynomials 1. Example 1: Factoring trinomials with a common factor. Factoring polynomials 2. Factor by Grouping and Factoring Completely. Example: Basic grouping. Example 1: Factoring by grouping. Example 2: Factoring by grouping. Example 3: Factoring by grouping. Example 4: Factoring by grouping. Example 5: Factoring by grouping. Example 6: Factoring by grouping. Factoring polynomials by grouping. Factoring quadratics with two variables. Factoring quadratics with two variables example. Factoring polynomials with two variables. Terms coefficients and exponents in a polynomial. Interesting Polynomial Coefficient Problem. Polynomials1. Polynomials 2. Evaluating a polynomial at a given value. Simplify a polynomial. Adding Polynomials. Example: Adding polynomials with multiple variables. Addition and Subtraction of Polynomials. Adding and Subtracting Polynomials 1. Adding and Subtracting Polynomials 2. Adding and Subtracting Polynomials 3. Subtracting Polynomials. Subtracting polynomials with multiple variables. Adding and subtracting polynomials. Multiplying Monomials by Polynomials. Multiplying Polynomials. Multiplying Polynomials 3. More multiplying polynomials. Multiplying polynomials. Polynomial Division. Polynomial divided by monomial. Dividing multivariable polynomial with monomial. Dividing polynomials 1. Dividing polynomials with remainders. Synthetic Division. Synthetic Division Example 2. Why Synthetic Division Works. Factoring Sum of Cubes. Difference of Cubes Factoring. Algebraic Long Division. Algebra II: Simplifying Polynomials. Factoring Special Products. Example 1: Factoring difference of squares. Factoring difference of squares 1. Example 2: Factoring difference of squares. Factoring difference of squares 2. Factoring to produce difference of squares. Factoring difference of squares 3. Example: Factoring perfect square trinomials. Example: Factoring a fourth degree expression. Example: Factoring special products. Multiplying Monomials. Dividing Monomials. Multiplying and Dividing Monomials 1. Multiplying and Dividing Monomials 2. Multiplying and Dividing Monomials 3. Monomial Greatest Common Factor. Multiplying binomials word problem. FOIL for multiplying binomials. Multiplying Binomials with Radicals. Multiplying binomials example 1. FOIL method for multiplying binomials example 2. Square a Binomial. Special Products of Binomials. Multiplying binomials to get difference of squares. Squaring a binomial. Multiplying expressions 0.5. Squaring a binomial example 2. Classic multiplying binomials video. Multiplying expressions 1. Factoring and the Distributive Property 3. Factoring linear binomials. Factoring linear binomials. Factoring and the Distributive Property. Factoring and the Distributive Property 2. Factor expressions using the GCF. Factoring quadratic expressions. Examples: Factoring simple quadratics. Example 1: Factoring quadratic expressions. Factoring polynomials 1. Example 1: Factoring trinomials with a common factor. Factoring polynomials 2. Factor by Grouping and Factoring Completely. Example: Basic grouping. Example 1: Factoring by grouping. Example 2: Factoring by grouping. Example 3: Factoring by grouping. Example 4: Factoring by grouping. Example 5: Factoring by grouping. Example 6: Factoring by grouping. Factoring polynomials by grouping. Factoring quadratics with two variables. Factoring quadratics with two variables example. Factoring polynomials with two variables. Terms coefficients and exponents in a polynomial. Interesting Polynomial Coefficient Problem. Polynomials1. Polynomials 2. Evaluating a polynomial at a given value. Simplify a polynomial. Adding Polynomials. Example: Adding polynomials with multiple variables. Addition and Subtraction of Polynomials. Adding and Subtracting Polynomials 1. Adding and Subtracting Polynomials 2. Adding and Subtracting Polynomials 3. Subtracting Polynomials. Subtracting polynomials with multiple variables. Adding and subtracting polynomials. Multiplying Monomials by Polynomials. Multiplying Polynomials. Multiplying Polynomials 3. More multiplying polynomials. Multiplying polynomials. Polynomial Division. Polynomial divided by monomial. Dividing multivariable polynomial with monomial. Dividing polynomials 1. Dividing polynomials with remainders. Synthetic Division. Synthetic Division Example 2. Why Synthetic Division Works. Factoring Sum of Cubes. Difference of Cubes Factoring. Algebraic Long Division. Algebra II: Simplifying Polynomials.

Want to be an engineer or scientist? Lack mathematical confidence? Learn to think mathematically and explore essential concepts.

This course explains how you can use numbers to describe the natural world and make sense of everything from atoms to oceans.

You already have many tools in your mathematical toolkit. In this topic, you'll use these in settings that you're likely to encounter in the real world!. Reading tables 1. Reading tables 1. Reading tables 2. Reading tables 2. Stem-and-leaf Plots. Reading stem and leaf plots. Reading stem and leaf plots. Reading Pictographs. Reading pictographs 1. Reading pictographs 2. Reading Bar Graphs. Histograms. Reading bar charts 1. Reading bar charts 1. Creating bar charts 1. Creating bar charts 1. Reading bar charts 2. Reading bar charts 2. Reading bar charts 3. Reading bar charts 3. Reading Line Graphs. Reading line charts 1. Reading Pie Graphs (Circle Graphs). Misleading Line Graphs. Multistep word problems example 1). Multistep word problems example 2). Multistep word problems example 3). Multistep equations without variables. Greater than and less than symbols. Comparing whole numbers. Plotting inequalities on a number line. Writing numerical inequalities exercise. Writing numerical inequalities. Inequalities in one variable 1 exercise. Inequalities in one variable 1. Inequalities on a number line. Inequalities on a number line. Rational number word problem example 1. Rational number word problem example 2. Rational number word problem example 3. Adding decimals of different signs word problem. Rational number word problems. Figuring out days of the week. Math patterns example 1. Math patterns example 2. Math patterns. Relationships between patterns. Interpreting relationships between patterns. Interpreting and graphing relationships between patterns. Visualizing and interpreting relationships between patterns. Constructing numerical expressions example. Evaluating an expression with and without parentheses. Expressions with parentheses. Reading tables 1. Reading tables 1. Reading tables 2. Reading tables 2. Stem-and-leaf Plots. Reading stem and leaf plots. Reading stem and leaf plots. Reading Pictographs. Reading pictographs 1. Reading pictographs 2. Reading Bar Graphs. Histograms. Reading bar charts 1. Reading bar charts 1. Creating bar charts 1. Creating bar charts 1. Reading bar charts 2. Reading bar charts 2. Reading bar charts 3. Reading bar charts 3. Reading Line Graphs. Reading line charts 1. Reading Pie Graphs (Circle Graphs). Misleading Line Graphs. Multistep word problems example 1). Multistep word problems example 2). Multistep word problems example 3). Multistep equations without variables. Greater than and less than symbols. Comparing whole numbers. Plotting inequalities on a number line. Writing numerical inequalities exercise. Writing numerical inequalities. Inequalities in one variable 1 exercise. Inequalities in one variable 1. Inequalities on a number line. Inequalities on a number line. Rational number word problem example 1. Rational number word problem example 2. Rational number word problem example 3. Adding decimals of different signs word problem. Rational number word problems. Figuring out days of the week. Math patterns example 1. Math patterns example 2. Math patterns. Relationships between patterns. Interpreting relationships between patterns. Interpreting and graphing relationships between patterns. Visualizing and interpreting relationships between patterns. Constructing numerical expressions example. Evaluating an expression with and without parentheses. Expressions with parentheses.

本课程以通俗的语言介绍粒子物理的主要内容和最前沿的研究。课程涉及的主要内容包括： 物质和反物质， 夸克和强相互作用，中微子和弱相互作用，对称性和它的作用， 粒子物理的标准模型，粒子天文学， 暗物质。 This course gives an brief introduction of the main content and the frontier of particle physics in popular language. It includes: matter and antimatter, quark and strong interaction, neutrino and weak interaction, symmetry and its applications, standard model of particle physics, particle astronomy, dark matter etc.

This course is taught in French Vous voulez comprendre l'arithmétique ? Vous souhaitez découvrir une application des mathématiques à la vie quotidienne ? Ce cours est fait pour vous ! De niveau première année d'université, vous apprendrez les bases de l'arithmétique (division euclidienne, théorème de Bézout, nombres premiers, congruence). Vous vous êtes déjà demandé comment sont sécurisées les transactions sur Internet ? Vous découvrirez les bases de la cryptographie, en commençant par les codes les plus simples pour aboutir au code RSA. Le code RSA est le code utilisé pour crypter les communications sur internet. Il est basé sur de l'arithmétique assez simple que l'on comprendra en détail. Vous pourrez en plus mettre en pratique vos connaissances par l'apprentissage de notions sur le langage de programmation Python. Vous travaillerez à l'aide de cours écrits et de vidéos, d'exercices corrigés en vidéos, des quiz, des travaux pratiques. Le cours est entièrement gratuit !

Methodisch ausgefeilter Doppel-MOOC mit Geometrie und Arithmetik. Du möchtest mathematisch denken lernen? Sei Kiebitz, Anpacker oder Formalisierer: Du hast die Wahl!

Teaches, as the antidote to rigor mortis, the art of educated guessing and opportunistic problem solving.

Build your earth science vocabulary and learn about cycles of matter and types of sedimentary rocks through the Education Portal course Earth Science 101: Earth Science. Our series of video lessons and accompanying self-assessment quizzes can help you boost your scientific knowledge ahead of the Excelsior Earth Science exam . This course was designed by experienced educators and examines both science basics, like experimental design and systems of measurement, and more advanced topics, such as analysis of rock deformation and theories of continental drift.

在社会学、心理学、教育学、经济学、管理学、市场学等研究领域的数据分析中，结构方程建模是当前最前沿的统计方法中应用最广、研究最多的一个。它包含了方差分析、回归分析、路径分析和因子分析，弥补了传统回归分析和因子分析的不足，可以分析多因多果的联系、潜变量的关系，还可以处理多水平数据和纵向数据，是非常重要的多元数据分析工具。本课程系统地介绍结构方程模型和LISREL软件的应用，内容包括：结构方程分析（包括验证性因子分析）的基本概念、统计原理、在社会科学研究中的应用、常用模型及其LISREL程序、结果的解释和模型评价。学员应具备基本的统计知识（如：标准差、t-检验、相关系数），理解回归分析和因子分析的概念。 注：本课程配套教材为《结构方程模型及其应用》（以LISREL软件为例）。

Sample questions from the A.P. Calculus AB and BC exams (both multiple choice and free answer). 2011 Calculus AB Free Response #1a. 2011 Calculus AB Free Response #1 parts b c d. 2011 Calculus AB Free Response #2 (a & b). 2011 Calculus AB Free Response #2 (c & d). 2011 Calculus AB Free Response #3 (a & b). 2011 Calculus AB Free Response #3 (c). 2011 Calculus AB Free Response #4a. 2011 Calculus AB Free Response #4b. 2011 Calculus AB Free Response #4c. 2011 Calculus AB Free Response #4d. 2011 Calculus AB Free Response #5a. 2011 Calculus AB Free Response #5b. 2011 Calculus AB Free Response #5c.. 2011 Calculus AB Free Response #6a. 2011 Calculus AB Free Response #6b. 2011 Calculus AB Free Response #6c. AP Calculus BC Exams: 2008 1 a. AP Calculus BC Exams: 2008 1 b&c. AP Calculus BC Exams: 2008 1 c&d. AP Calculus BC Exams: 2008 1 d. Calculus BC 2008 2 a. Calculus BC 2008 2 b &c. Calculus BC 2008 2d. 2011 Calculus BC Free Response #1a. 2011 Calculus BC Free Response #1 (b & c). 2011 Calculus BC Free Response #1d. 2011 Calculus BC Free Response #3a. 2011 Calculus BC Free Response #3 (b & c). 2011 Calculus BC Free Response #6a. 2011 Calculus BC Free Response #6b. 2011 Calculus BC Free Response #6c. 2011 Calculus BC Free Response #6d. 2011 Calculus AB Free Response #1a. 2011 Calculus AB Free Response #1 parts b c d. 2011 Calculus AB Free Response #2 (a & b). 2011 Calculus AB Free Response #2 (c & d). 2011 Calculus AB Free Response #3 (a & b). 2011 Calculus AB Free Response #3 (c). 2011 Calculus AB Free Response #4a. 2011 Calculus AB Free Response #4b. 2011 Calculus AB Free Response #4c. 2011 Calculus AB Free Response #4d. 2011 Calculus AB Free Response #5a. 2011 Calculus AB Free Response #5b. 2011 Calculus AB Free Response #5c.. 2011 Calculus AB Free Response #6a. 2011 Calculus AB Free Response #6b. 2011 Calculus AB Free Response #6c. AP Calculus BC Exams: 2008 1 a. AP Calculus BC Exams: 2008 1 b&c. AP Calculus BC Exams: 2008 1 c&d. AP Calculus BC Exams: 2008 1 d. Calculus BC 2008 2 a. Calculus BC 2008 2 b &c. Calculus BC 2008 2d. 2011 Calculus BC Free Response #1a. 2011 Calculus BC Free Response #1 (b & c). 2011 Calculus BC Free Response #1d. 2011 Calculus BC Free Response #3a. 2011 Calculus BC Free Response #3 (b & c). 2011 Calculus BC Free Response #6a. 2011 Calculus BC Free Response #6b. 2011 Calculus BC Free Response #6c. 2011 Calculus BC Free Response #6d.

Minima, maxima, and critical points. Rates of change. Optimization. Rates of change. L'Hopital's rule. Mean value theorem. Minima, maxima and critical points. Testing critical points for local extrema. Identifying minima and maxima for x^3 - 12x - 5. Concavity, concave upwards and concave downwards intervals. Recognizing concavity exercise. Recognizing concavity. Inflection points. Graphing using derivatives. Another example graphing with derivatives. Minimizing sum of squares. Optimizing box volume graphically. Optimizing box volume analytically. Optimizing profit at a shoe factory. Minimizing the cost of a storage container. Expression for combined area of triangle and square. Minimizing combined area. Rates of change between radius and area of circle. Rate of change of balloon height. Related rates of water pouring into cone. Falling ladder related rates. Rate of change of distance between approaching cars. Speed of shadow of diving bird. Mean Value Theorem. Introduction to L'H