
<p><span class="s1">Welcome to Have Sum Fun, a numeracy course.</span><br></p><p>Numeracy is the ability to use maths in real life. To follow a recipe to cook delicious teriyaki chicken, to catch a faster train to get to your school on time, to find out how much you need to save up monthly to buy a new bike. This course aims to assist students in obtaining these essential life skills.<br></p><p>This course consists of a number of MultiTouch books, Have Sum Fun series, as a one stop shop for students, teachers and parents. New issues will be added to this course upon completion.<br></p><div>Enjoy learning.<br></div><div><br></div>

<div>Statistics 110 (Probability), which has been taught at Harvard University by Joe Blitzstein (Professor of the Practice in Statistics, Harvard University) each year since 2006. The oncampus Stat 110 course has grown from 80 students to over 300 students per year in that time. Lecture videos, review materials, and over 250 practice problems with detailed solutions are provided. This course is an introduction to probability as a language and set of tools for understanding statistics, science, risk, and randomness. The ideas and methods are useful in statistics, science, engineering, economics, finance, and everyday life. Topics include the following. Basics: sample spaces and events, conditioning, Bayes’ Theorem. Random variables and their distributions: distributions, moment generating functions, expectation, variance, covariance, correlation, conditional expectation. Univariate distributions: Normal, t, Binomial, Negative Binomial, Poisson, Beta, Gamma. Multivariate distributions: joint, conditional, and marginal distributions, independence, transformations, Multinomial, Multivariate Normal. Limit theorems: law of large numbers, central limit theorem. Markov chains: transition probabilities, stationary distributions, reversibility, convergence. Prerequisite: single variable calculus, familiarity with matrices.</div>

<div><div>Day in and day out, math teachers hear the same question: “Why do I need to learn this?” One of the Math teachers Peter Caryotakis follows up with an answer: “Because knowing math will keep as many doors as possible open in your future.”</div><div>This course consists of a series of easy and engaging Math projects that help kids apply standardsbased Math skills to reallife situations. Some important elementary math concepts are presented with multiple examples of how each is applied in everyday environments, such as the nature, science, geography, social studies, and even design.</div></div>

<div>This course is designed to develop basic algebraic skills through a study of fundamental properties of numbers, fundamental operations in arithmetic and algebra, including polynomials and linear equations. It is intended for both firsttime students and those wishing to brush up on their algebra skills.<br><br>This is one of my favorite courses to teach because this is where your foundation in algebra begins and I'd like to help build or repair your foundation.<br>This course, taught on campus twice per week for 75 minutes each, was primarily recorded at the Lancaster Campus of Harrisburg Area Community College. The video recordings are predominantly unedited clips from live classes. <br>The prerequisite for this course is prealgebra. <br>This course requires the use of a scientific calculator (graphing calculator not necessary).<br><br>After each lesson you will perform a selfassessment to monitor your progress in the course. An estimated time needed to perform each selfassessment is stated in each post. Answer keys for each selfassessment are provided in each post.<br><br><strong>You will NOT get any credit from taking this course in iTunes U though. You need to enroll as a regular or online student to receive credits. Please visit these web sites for more information.</strong><br><span style="textdecoration: underline;"><a datamcehref="">http://www.hacc.edu/</a></span><br><span style="textdecoration: underline;"><a datamcehref="">http://www.hacc.edu/virtual/</a></span><br></div>

<div>Calculus is about the very large, the very small, and how things change. The surprise is that something seemingly so abstract ends up explaining the real world. Calculus plays a starring role in the biological, physical, and social sciences.</div><div><br></div><div>This course is a first and friendly introduction to calculus, suitable for someone who has never seen the subject before, or for someone who has seen some calculus but wants to review the concepts and practice applying those concepts to solve problems.</div><div><br></div><div>Please visit <a href="https://mooculus.osu.edu" target="_blank" datamcehref="https://mooculus.osu.edu">https://mooculus.osu.edu</a> for additional course materials and to work problem sets. </div><div><br></div><div>If you'd like to discuss the course, please use the hashtag #mooculus.</div>

<div>This course will explore logo style programming to develop a students understanding of Geometry and Transformations.</div>

<div><!?xml version="1.0" encoding="UTF8" standalone="no"?><div>Welcome, educators, to <em>Pennsylvania Learns</em> mathematics courses. <em>Pennsylvania Learns</em> courses were created by Pennsylvania educators and are free, adaptable, and available to everyone. Mathematics courses are currently available for grades six, seven, eight and Algebra I.</div><div>This mathematics course provides resources to help teachers teach and students understand essential concepts and competencies. Teachers have the freedom to build curriculum and contextualize <em>Pennsylvania Learns</em> content resources to meet classroom needs. </div></div><div><br></div><div><!?xml version="1.0" encoding="UTF8" standalone="no"?> In Algebra I, students are expected to formalize and expand on Algebraic concepts established in previous coursework. Integrating the eight Mathematical Practices into every lesson, instruction is designed to:</div><div><br></div><div><ul><li><span>Engage students in methods for analyzing, and using functions. </span></li></ul><ul><li><span>Fluently move students between multiple representations of functions including linear and exponential.</span></li></ul><div><ul><li>Deepen and extend the understanding of linear and exponential relationships by contrasting them with each other and by applying linear models to data that exhibit a linear trend. </li></ul></div></div>

<div>Designed for students enrolled in technical, business, and liberal arts curricula. Topics include describing and summarizing data both graphically and numerically, probability, various distributions, parametric estimation and tests of significance, and exploration of bivariate data. This course, taught on campus twice per week for 150 minutes, was recorded at the Lancaster Campus of Harrisburg Area Community College. The podcasts are raw (unedited) clips from a live classroom.<br>The prerequisite for this course is intermediate algebra. This course does require the use of a graphing calculator such as a TI83 or TI84.<br><br><b>You will NOT get any credit from taking this course in iTunes U though. You need to enroll as a regular or online student to receive credits. Please visit these web sites for more information.</b><br><u>http://www.hacc.edu/</u><br><u>http://www.hacc.edu/virtual/</u><br></div>

<div><div><div>This course will emphasize the study of polynomial, radical, exponential, logarithmic, and trigonometric functions. Functions, equations, and limits will be used as useful tools for expressing generalizations and as a means for analyzing and understanding a broad variety of mathematical relationships. Functions, as well symbolic reasoning, will be used to represent and connect ideas in geometry, probability, statistics, trigonometry, and calculus and to model physical situations.</div></div></div><div><br></div><div>We are using the textbook "PreCalculus with Limits" 1e by Larson and Hostetler. ISBN # 0618751718.</div><div><br></div><div>We are also using some iBooks that I am creating. Links to those are embedded in the course.</div>

<div>Statistics is the science that turns data into information and information into knowledge. This class covers applied statistical methodology from an analysisofdata viewpoint. Topics covered include frequency distributions; measures of location; mean, median, mode; measures of dispersion; variance; graphic presentation; elementary probability; populations and samples; sampling distributions; one sample univariate inference problems, and two sample problems; categorical data; regression and correlation; and analysis of variance. Use of computers in data analysis is also explored. </div><div><br></div><div><div>Visit <a href="http://open.umich.edu" target="_blank" datamcehref="http://open.umich.edu">open.umich.edu</a> to explore additional University of Michigan courses and resources.</div><div><br></div><div>Course image adapted from teegardin under a Creative Commons license: <a href="http://creativecommons.org/licenses/bysa/2.0/" target="_blank" datamcehref="http://creativecommons.org/licenses/bysa/2.0/">BYSA</a>.</div></div>
iTunes Store: Top iTunesU Courses in Mathematics
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