This eBook was written as the sequel to the eBook titled DC Circuits, which was written in 2016 by Chad Davis.
This eBook covers Alternating Current (AC) circuit theory as well us a brief introduction of electronics. It is
broken up into seven modules. Module 1 covers the basic theory of AC signals. Since only DC sources are used in
the first eBook, details of AC signals such as sinusoidal waveforms (or sine waves), square waves, and triangle
waves are provided. Module 2, titled AC Circuits Math Background, covers the mathematics background needed
for solving AC circuit problems. The background material in Modules 1 and 2 are combined in Module 3 to solve
circuits with AC sources that include resistors, inductors, and capacitors (RLC circuits).

The lab manual was written as the first installment that coincides with two lab courses taught at the University of Oklahoma (BME3171, BME3181). These courses are designed to provide Biomedical Engineering students with lab skills and experience in biomedical engineering research and clinical techniques. This manual is used with BME3171 Lab 1 and the following topics are covered in this lab manual; functional human models, musculoskeletal lever systems, bioimaging (ultrasound), bioelectricity (electromyography), & uni-axial testing.

The lab manual was written as the second installment that coincides with two lab courses taught at the University of Oklahoma (BME3171, BME3181). These courses are designed to provide Biomedical Engineering students with lab skills and experience in biomedical engineering research and clinical techniques. This manual is used with BME3181 Biomedical Engineering Lab 2 and the following wet lab topics are covered in this lab manual; bioimaging, cell culture, tissue engineering, live-dead and DNA assays.

This book covers Direct Current (DC) circuit theory and is broken up into three modules. Module 1 covers the basics for circuits that include DC sources (voltage or current) and resistors. Even though Module 1 is not very difficult, it forms the foundation for more complicated topics in modules 2 and 3 so it is important to have a firm grasp of all Module 1 topics before moving on. Module 2 covers more difficult problem solving techniques for circuits that include only DC sources and resistors. Module 3 introduces capacitors and inductors. These non-linear reactive components are analyzed in the transient and steady state regions in circuits with DC sources in Module 3. Also annexed is a two-page cheat sheet that ENGR 2431 students at University of Oklahoma can use for exams.

This eBook was written as the third installment in the series that coincide with three engineering courses taught at the University of Oklahoma (ENGR 2431, ENGR 2531, and ENGR 3431). These courses were designed to provide non-major students – those not majoring in electrical or computer engineering (ECE) – a foundation in various ECE topics. ENGR 2431 is a prerequisite for both ENGR 2531 and ENGR 3431 and it is recommended that the DC Circuits book be studied prior to beginning the eBooks created for the other two courses. The following topics are covered in this book: LabVIEW Overview Module 1 – Number Systems and Character Encoding Module 2 – Digital Logic Module 3 – Measurement and Instrumentation Overview Module 4 – Sensors Module 5 – Power Systems Module 6 – Electric Machines Module 7 – Computer Communications Appendix A – Step by Step Guide to Digital, Analog, and Counter IOs in a DAQ

Measurement and instrumentation are fundamental elements of many engineering projects. From research, to development, to manufacturing, to user products, engineers are constantly needing to measure things: brightness of a light, dimensions of an object, separation between things, frequency content, stress, strain, pressure, voltage, etc. In the real world measuring systems are not perfect, so the results of a measurement are only an estimate of the true value. Instrumentation for making measurements relies on some fundamental assumptions to ensure the veracity of the measurements. Some key elements are: bandwidth, sampling rate, dynamic range, sensor type, etc. This text discusses the basic concepts of what a measurement is, how the instrumentation chosen (or developed) can affect the measurement, and how to deal with the measurement error that is in all instrumentation systems. Topics include data acquisition, signal conditioning, sensor types, and measurement noise and its various noise distributions. The text concludes with three user projects that bring together these topics into an informative work that reinforces the theory.

The 1935 edition published by R. T. Gunther was based on only three or four local manuscripts, and as such is defective in many places. Missing phrases, or mis-copies or mis-read phrases at times makes that text unintelligible.

This edition is based on the collation of a significant number of manuscripts (over 80, and eventually, it is hoped, all manuscript copies). What is now being published here is the text of the Prologue and of the first sixteen chapters (Version 1.1).

The edition is available in five PDF files:

Part I: Introduction contains the preface and introductory material, including manuscript information;

Part II: Critical Edition contains the Latin text and diagrams, the critical apparatus and a facing English translation;

Part III: Latin Text contains the Latin text and diagrams, without the apparatus criticus, but maintaining the line numbers of the critical edition;

Part IV: English Text contains the English text and diagrams, for those who are interested in consulting only the translation.

Appendix I: Catalogue of Stars contains information about the all the stars mentioned in the text.

Over time these texts will be updated and expanded, when the remaining manuscript copies are collated, and when the editing of further sections have been completed. However, it is not expected that the present version will change – the rest of the manuscripts will expand the apparatus criticus but are unlikely to modify the text itself.

The editor is interested in the receiving comments on the text, and further insights into its interpretation, from others. He is willing to incorporate such additions into future versions for the benefit of others who would consult this edition in the future. Comments can be sent to thomson@chass.utoronto.ca.

Permission is given for scholars to print out (and bind) any or all of these texts for non-commercial uses: research, study, criticism and citation. Commercial reproduction of all or part of the texts is not permitted without the prior consent of the copyright owner.

The focus of this book is on using quantitative research methods to test hypotheses and build theory in political science, public policy and public administration. It is designed for advanced undergraduate courses, or introductory and intermediate graduate-level courses. The first part of the book introduces the scientific method, then covers research design, measurement, descriptive statistics, probability, inference, and basic measures of association. The second part of the book covers bivariate and multiple linear regression using the ordinary least squares, the calculus and matrix algebra that are necessary for understanding bivariate and multiple linear regression, the assumptions that underlie these methods, and then provides a short introduction to generalized linear models.

The book fully embraces the open access and open source philosophies. The book is freely available in the SHAREOK repository; it is written in R Markdown files that are available in a public GitHub repository; it uses and teaches R and RStudio for data analysis, visualization and data management; and it uses publically available survey data (from the Meso-Scale Integrated Socio-geographic Network) to illustrate important concepts and methods. We encourage students to download the data, replicate the examples, and explore further! We also encourage instructors to download the R Markdown files and modify the text for use in different courses.