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Experiments for Physics: Modeling Nature

  • Experiments for Physics: Modeling Nature
  • Experiments for Physics: Modeling Nature
  • Experiments for Physics: Modeling Nature

Experiments for Physics: Modeling Nature

  • This volume contains the complete teacher’s instructions for conducting the five lab experiments for our advanced physics text, Physics: Modeling Nature. The contents of this book are adapted from our book Favorite Experiments in Physics and Physical Science. Each experiment includes a list of Learning Objectives, Materials List, Experimental Purpose, Scientific Overview, Pre-Lab Discussion Points, Student Instructions, any Safety Concerns, and discussion of the use of any special apparatus.

    Includes color photos of the experiments being conducted in a classroom setting.

  • Physics: Modeling Nature Errata (PDF)

    Physics: Modeling Nature Materials List (PDF)


  • John D. Mays
    After receiving his BS in Electrical Engineering from Texas A&M University, John D. Mays worked for 14 years as an electrical engineering and engineering manager in the areas of electrical, control, and telecommunications systems. Drawn toward the field of education, John acquired an MEd in Secondary Education from the University of Houston in 1989, and subsequently completed 36 hours of graduate study in Physics at Texas A&M. Shortly after joining the faculty at Regents School of Austin in 1999, John began work on an MLA at St. Edward's University, which he completed in 2003. John served as Math-Science Department Chair at Regents School for nine years and as Director of the Laser Optics Lab for 10 years. He founded Novare Science & Math in 2009 and is the author of numerous science texts and teacher resources. He now works full time as Director of Science Curriculum for Classical Academic Press.

  • ISBN: 9780996677134
    Edition: 1st
    Grade Level: 11-12
    Trim Size: 6.5” x 9.5"
    Binding: Soft cover
    Color or BW: Color
    Pages: 98


    • Bulls Eye Lab: use vector-based equations for two-dimensional projectile motion to make predictions
    • The Friction Challenge: design methods to produce accurate and precise measurements of static and kinetic coefficients of friction and implement these methods to measure brass-on-brass contact under dry and lubricated conditions
    • Rotational Kinetic Energy: use energy equations to predict translational velocity of a solid steel ball after it rolls to the bottom of a ramp, and compare prediction to experimental results
    • Calorimetry: determine specific heat capacity of copper using the techniques of calorimetry and theory of heat transfer
    • Sound Lab: use the theory of inverse square variation and logarithms to make quantitative predictions about decibels and sound pressure level of a piezo siren at various distances