This guide is designed for the college instructor who plans to use some of the 12 units of the Mathematics-Methods Program. The program is based on three assumptions about the teaching and learning of mathematics: (1) Mathematics content and methods should be combined in the training of prospective elementary school teachers; (2) Mathematics should be learned in a laboratory setting; and (3) Teachers should be taught as they should teach. These units were written at the Indiana University Mathematics Education Development Center, and they combine the mathematics content and methods learning of college students who are training to be elementary teachers. The units are flexible and can be used in content courses, methods courses, or courses which combine both. In addition to the college classroom component, the program has a coordinated elementary school teaching experience component which is not developed through the units. This guide provides a detailed description of all units and some implementation suggestions. The teaching experience component as implemented at Indiana University is also outlined. (MP)

"Mathematics Instruction and Tasks in a PLC at Work®, Second Edition by Mona Toncheff, Timothy D. Kanold, Sarah Schuhl, Bill Barnes, Jennifer Deinhart, Jessica Kanold-McIntyre, and Matthew R. Larson provides guidance for K-12 teachers to reflect on current lesson-design practices, compare those practices against high-quality standards of mathematics lesson design, and develop and use effective lessons that engage students within the mathematics classroom. Part of the Every Student Can Learn Mathematics series, it offers a comprehensive professional learning community (PLC) approach to sustaining deep change in mathematics achievement. The PLC at Work process is one of the best models that schools or districts can use to build a more equitable learning experience for students. Using the four critical questions of a PLC, teams will provide every mathematics student with common learning experiences, opportunities for sustained perseverance, and robust formative feedback. In this second edition, teachers will access new and updated tools to maximize their lesson-planning strategies in mathematics within the PLC framework"--

Students of statistics, operations research, and engineering will be informed of simulation methodology for problems in both mathematical statistics and systems simulation. This discussion presents many of the necessary statistical and graphical techniques. A discussion of statistical methods based on graphical techniques and exploratory data is among the highlights of Simulation Methodology for Statisticians, Operations Analysts, and Engineers. For students who only have a minimal background in statistics and probability theory, the first five chapters provide an introduction to simulation.