Das, Biman : State University of New York, Potsdam
A supplementary text for introductory courses in Algebra-Based Physics.
Designed for concurrent self-study or remedial math work for students in introductory courses, this text is ideal
for students who find themselves unable to keep pace because of a lack of familiarity with necessary mathematical
tools. It not only shows them clearly how mathematics is directly applied to physics, but discusses math anxiety
in general and how to overcome it. Instead of a rigorous development of the concepts of mathematics (as is found
in a typical math book), the text describes the various mathematical concepts and tools (including algebra, trigonometry,
geometry, vector, and statistics) and their direct use in solving physics problems. Almost all sections end with
worked-out examples and exercises directly from introductory physics.
Features :
- Ideal for students with weak mathematics backgrounds.
- Helps students improve their math skills generally and develop competence and confidence in using math in a
physics course.
- A discussion on math anxiety.
- Helps students understand the basis of their anxiety and offers suggests on how to deal with it.
- Shows common math mistakes.
- Points out traps and pitfalls that students often encounter.
- Worked-out examples and problems from physics--In almost all sections.
- Shows students how the concept of mathematics is directly applied to physics.
- An abundance of tables and figures--Many (e.g., the units of base and derived quantities) highlighted in boxes.
- Offers support for visual learners and provides convenient study and review tools.
- Appendices.
- Provides students with a convenient source of important physical constants, useful data, and conversion factors.
1. Fun with Physics and Mathematics.
2. Algebra: Dealing with Numbers and Equations in Physics.
3. Trigonometry: A Powerful Tool to Solve-Real-World Problems.
4. Geometry: Dealing with Shapes and Plots.
5. Vectors: Tracking the Direction of a Change.
6. Probability and Statistics: Analysis of Data and Predicting Future from the Present.
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