Interdisciplinary Integrated Unit on DNA/Genetics Part C: Language Arts
This lesson is part of an interdisciplinary integrated unit on DNA and genetics. The idea is that students will complete a week's worth of activities in science, math, and language arts related to this topic. This lesson is Part C: Language Arts. Students will apply information retrieval skills as they ...
Author(s): Jane Lentz,Jimmy White,Marlene Smith,Tori Goldrick

Percent Problem Solving
Students apply their knowledge of fractions, decimals, and percents to understand the relationship amongst the three. Students will solve basic percent number problems using the percent proportion or other methods and play a game using a resource of the Shodor Education Foundation, Inc. Permission has ...
Author(s): Victoria Lunetta

School Uniforms: Point of View Writing
This lesson deals with an issue that is very important to students: school uniforms. It incorporates writing, speaking, and math.
Author(s): Linda Bulluck

To be or not to be...Linear
The student will determine the correlation between two variables. They will graph ordered pairs on a coordinate plane, determine a best fit line, find slope and intercepts, and write the equation of a line. This lesson plan is geared for both 8th grade math and algebra.
Author(s): Kyle Gorton

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
Author(s): No creator set

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
Author(s): No creator set

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
Author(s): No creator set

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
Author(s): No creator set

2004-2005 Biostatistics Lecture Series
The day-to-day collaboration between the researchers in Public Health and Biostatistics at the School reveals unified topics that cut across many applications. This series of presentations introduces the topics that show empirically to be most important in these collaborations; and emphasizes concepts over details, through recent applications in Public Health.
Author(s): No creator set

Bioinformatics and Computational Biology Solutions Using R and Bioconductor
Covers the basics of R software and the key capabilities of the Bioconductor project (a widely used open source and open development software project for the analysis and comprehension of data arising from high-throughput experimentation in genomics and molecular biology and rooted in the open source statistical computing environment R), including importation and preprocessing of high-throughput data from microarrays and other platforms. Also introduces statistical concepts and tools necessary t
Author(s): No creator set

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
Author(s): No creator set

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
Author(s): No creator set

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
Author(s): No creator set

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
Author(s): No creator set

Inverse Functions
What exactly are Inverse Functions? We are going to do a little exploration activity to introduce us to these strange, yet exciting, functions!
Author(s): Mrs. Richins

Geometry Games
Play some of these geometry games to learn more about shapes, angles, and much more! Learn about angles while playing Pool Geometry! Make shapes using others shapes in RoboPacker! Go from planet to planet in Planet Hop!
Author(s): No creator set

Central Tendency Practice
Practice finding measures of central tendency.
Author(s): Ms. Troff

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