Transformations: Geometric Shapes
In this webquest, fourth grade students will be learning how to transform geometric shapes. They will also learn to define transformation, translation, and reflection.
Time is Money
Here are some games to help understand time and money. MONEY Use your knowledge of coins to tell how much there is by counting coins. Try many different ways to use coins to make a dollar.
Bar Graph Mania
Use these activities to build and interpret data on bar graphs. Catch all the bugs in the system and put them in the correct column of the bar graph.
Absolutely Addition
Here are some fun games and activities to help with understanding and using addition.
Naming Triangles
In this exercise you will name triangles.
Wacky Tangrams
This project will allow you to explore tangrams in various interactive ways.
Tantalizing Tangrams
Manipulate geometric shapes into pictures.
Counting Money
Learn to count and add money. Try money problems to test your skill. Check out Fun Money Facts.
Math Fact Challenges
Try these games to help practice math facts!
Fantastic Fraction Falcons
Explore the fun skills of manipulating fractions.
Understanding Cost-Effectiveness Analysis in Health Care
The primary objective of this content is to prepare students to read and interpret cost-effectiveness studies. The students will first be introduced to basic economic concepts that are needed in order to understand the recommendations from the United States Panel on Cost Effectiveness in Health and Medicine. One example is the distinction between opportunity costs and budgetary costs. The recommendations will then be reviewed, particularly as they apply to what students should expect to read in
Statistics in Psychosocial Research: Measurement
Presents quantitative approaches to measurement in the psychological and social sciences. Topics include the principles of psychometrics, including reliability and validity; the statistical basis for latent variable analysis, including exploratory and confirmatory factor analysis and latent class analysis; and item response theory. Draws examples from the social sciences, including stress and distress, social class and socioeconomic status, personality; consumer satisfaction, functional impairme
Statistics for Laboratory Scientists II
This course introduces the basic concepts and methods of statistics with applications in the experimental biological sciences. Demonstrates methods of exploring, organizing, and presenting data, and introduces the fundamentals of probability. Presents the foundations of statistical inference, including the concepts of parameters and estimates and the use of the likelihood function, confidence intervals, and hypothesis tests. Topics include experimental design, linear regression, the analysis of
Statistics for Laboratory Scientists I
This course introduces the basic concepts and methods of statistics with applications in the experimental biological sciences. Demonstrates methods of exploring, organizing, and presenting data, and introduces the fundamentals of probability. Presents the foundations of statistical inference, including the concepts of parameters and estimates and the use of the likelihood function, confidence intervals, and hypothesis tests. Topics include experimental design, linear regression, the analysis of
Statistical Reasoning II
Statistical Reasoning in Public Health II provides an introduction to selected important topics in biostatistical concepts and reasoning through lectures, exercises, and bulletin board discussions. The course builds on the material in Statistical Reasoning in Public Health I , extending the statistical procedures discussed in that course to the multivariate realm, via multiple regression methods. New topics, such as methods for clinical diagnostic testing, and univariate, bivariate, and multivar
Statistical Reasoning I
Statistical Reasoning in Public Health provides an introduction to selected important topics in biostatistical concepts and reasoning through lectures, exercises, and bulletin board discussions. It represents an introduction to the field and provides a survey of data and data types. Specific topics include tools for describing central tendency and variability in data; methods for performing inference on population means and proportions via sample data; statistical hypothesis testing and its appl
Problems in the Design of Epidemiologic Studies (Grant Writing)
Presents the methodologic and logistic problems involved in designing and conducting epidemiologic studies. Students participate in the preparation of a research protocol for a study in a human population. Offers an opportunity to critically evaluate the adequacy and scientific merit of research protocols, develop an appreciation of the ethical aspects of conducting research involving human subjects, and apply methods and principles learned in earlier (340.601 - 603) and current courses to speci
Methods in Biostatistics I
Presents fundamental concepts in applied probability, exploratory data analysis, and statistical inference, focusing on probability and analysis of one and two samples. Topics include discrete and continuous probability models; expectation and variance; central limit theorem; inference, including hypothesis testing and confidence for means, proportions, and counts; maximum likelihood estimation; sample size determinations; elementary non-parametric methods; graphical displays; and data transform
Essentials of Probability and Statistical Inference IV: Algorithmic and Nonparametric Approaches
Introduces the theory and application of modern, computationally-based methods for exploring and drawing inferences from data. Covers re-sampling methods, non-parametric regression, prediction, and dimension reduction and clustering. Specific topics include Monte Carlo simulation, bootstrap cross-validation, splines, local weighted regression, CART, random forests, neural networks, support vector machines, and hierarchical clustering. De-emphasizes proofs and replaces them with extended discussi
Confronting the Burden of Injuries: A Global Perspective
Confronting the Burden of Injuries- A Global Perspective is a course offered by the Department of International Health and the Department of Health Policy and Management at the Bloomberg School of Public Health, Johns Hopkins University. This course is intended to guide students interested in working on injury control in areas with little to no tradition in injury prevention from a public health perspective. Students will learn to define the injury problem and assess its magnitude; identify data
