Fundamentals of Math, Physics, and Statistics for Future Transportation Professionals

Format:

Book

Author/Creator:

Pande, Anurag, author.

Ratto, Peyton, author.

Farid, Ahmed, author.

Language:

English

Subjects (All):

Engineering and Technology--Textbooks.

Engineering and Technology.

Civil engineering--Textbooks.

Civil engineering.

Physical Description:

1 online resource

Place of Publication:

Arlington, Texas Mavs Open Press [2024]

Language Note:

In English.

Summary:

This textbook and OER material cover tools and basic knowledge required to master the prerequisite essentials of physics, mathematics, and statistics applied in transportation engineering. To our knowledge, no such textbook currently exists to build the KSTs (Knowledge, Skills, Tools) for college freshmen’ remedial courses required by most transportation engineering graduate programs that admit non-engineers (e.g., PHYS 141, MATH 142, STAT 321 at California Polytechnic State University, San Luis Obispo). The textbook modules are intended for students with undergraduate degrees in planning and other less technical fields who are interested in pursuing transportation careers where background engineering knowledge is required. This textbook is a product of the grant OERTransport: Enabling Transportation Planning Professional Advancement awarded to the University of Texas-Arlington (UTA) in consortium with California Polytechnic State University (Cal Poly) and the University of South Florida (USF). It was developed under an Open Textbooks Pilot grant from the Fund for the Improvement of Postsecondary Education (FIPSE), U.S. Department of Education. However, its contents do not necessarily represent the policy of the Department of Education, and no endorsement by the Federal Government should be assumed

Contents:

Preface

About the Authors

Chapter 1: Trigonometry Functions and Geometric Measurements

Chapter 2: Polynomial, Exponential, and Logarithmic Functions

Chapter 3: Systems of Linear Equations

Chapter 4: Calculus – Interpretation and Methods for Integration and Differentiation

Chapter 5: Motion and Forces

Chapter 6: Basic Dynamics and Static Equilibrium

Chapter 7: Waves and Doppler Effect

Chapter 8: Probability: Basic Principles and Distributions

Chapter 9: Data Analysis - Hypothesis Testing, Estimating Sample Size, and Modeling

Glossary

Links by Chapter

Image Credits

References

Derivative Notes

Errata and Versioning History

Notes:

Description based on print resource