Treatment of the laws of thermodynamics and their applications to equilibrium and the properties of materials. Provides a foundation to treat general phenomena in materials science and engineering, including chemical reactions, magnetism, polarizability, and elasticity. Develops relations pertaining to multiphase equilibria as determined by a treatment of solution thermodynamics. Develops graphical constructions that are essential for the interpretation of phase diagrams. Treatment includes electrochemical equilibria and surface thermodynamics. Introduces aspects of statistical thermodynamics as they relate to macroscopic equilibrium phenomena.

Students learn about glaucoma its causes, how it affects individuals and how biomedical engineers can identify factors that trigger or cause this eye disease, specifically the increase of pressure in the eye. Students also learn how RFID technologies transfer energy through waves and how engineers apply their scientific understanding of waves, energy and sensors to develop devices that measure the pressure in the eyes of people with glaucoma. Students conclude by sketching their own designs for a pressure-measuring eye device, preparing them to conduct the associated activity in which they revise, prototype and evaluate their device designs made tangible with a 3D printer.

Students writing a thesis in Political Science develop their research topics, review relevant research and scholarship, frame their research questions and arguments, choose an appropriate methodology for analysis, and draft the introductory and methodology sections of their theses. Includes substantial instruction and practice in writing with revision and oral presentations.

Prior to reaching households, water is exposed to a variety of treatments designed to render it fit for human consumption and use. One of the first treatment steps is the removal of suspended solids using chemical additives called flocculants. In this activity, students learn about two commonly used flocculants and clean water collected from a local pond or river. They experiment with flocculant, stirring and pH variables.

The book is appropriately comprehensive, covering the basics as well as interesting and important applications of Bayesian methods.

This book is about complexity science, data structures and algorithms, intermediate programming in Python, and the philosophy of science. This book focuses on discrete models, which include graphs, cellular automata, and agent-based models. They are often characterized by structure, rules and transitions rather than by equations. They tend to be more abstract than continuous models; in some cases there is no direct correspondence between the model and a physical system.

The examples and supporting code for this book are in Python. You should know core Python and you should be familiar with object-oriented features, at least using objects if not defining your own. If you are not already familiar with Python, you might want to start with my other book, Think Python, which is an introduction to Python for people who have never programmed, or Mark Lutz’s Learning Python, which might be better for people with programming experience.

Data structures and algorithms are among the most important inventions of the last 50 years, and they are fundamental tools software engineers need to know. But in my opinion, most of the books on these topics are too theoretical, too big, and too bottom-up:

*Too theoretical: Mathematical analysis of algorithms is based on simplifying assumptions that limit its usefulness in practice. Many presentations of this topic gloss over the simplifications and focus on the math. In this book I present the most practical subset of this material and eliminate the rest.

*Too big: Most books on these topics are at least 500 pages, and some are more than 1000. By focusing on the topics I think are most useful for software engineers, I kept this book under 250 pages.

*Too bottom-up: Many data structures books focus on how data structures work (the implementations), with less about how to use them (the interfaces). In this book, I go “top down”, starting with the interfaces. Readers learn to use the structures in the Java Collections Framework before getting into the details of how they work.

Finally, many present this material out of context and without motivation: it’s just one damn data structure after another!

I try to alleviate the boredom by organizing the topics around an application—web search—that uses data structures extensively, and is an interesting and important topic in its own right.

This application also motivates some topics that are not usually covered in an introductory data structures class, including persistent data structures, with Redis, and streaming algorithms.

I have made difficult decisions about what to leave out, but I have made some compromises. I include a few topics that most readers will never use, but that they might be expected to know, possibly in a technical interview. For these topics, I present both the conventional wisdom as well as my reasons to be skeptical.

This book also presents basic aspects of software engineering practice, including version control and unit testing. Each chapter ends with an exercise that allows readers to apply what they have learned. Each exercise includes automated tests that check the solution. And for most exercises, I present my solution at the beginning of the next chapter.

This book is intended for college students in computer science and related fields, as well as professional software engineers, people training in software engineering, and people preparing for technical interviews.

I assume that the reader knows Java at an intermediate level, but I explain some Java features along the way, and provide pointers to supplementary material.

People who have read Think Java or Head First Java are prepared for this book.

Think Java is an introduction to Java programming for beginners. It is tailored for students preparing for the Computer Science Advanced Placement (AP) Exam, but it is for anyone who wants to learn Java.

The goal of this book is to teach you to think like a computer scientist. This way of thinking combines some of the best features of mathematics, engineering, and natural science. Like mathematicians, computer scientists use formal languages to denote ideas (specifically computations). Like engineers, they design things, assembling components into systems and evaluating tradeoffs among alternatives. Like scientists, they observe the behavior of complex systems, form hypotheses, and test predictions.

Think Python is an introduction to Python programming for beginners. It starts with basic concepts of programming, and is carefully designed to define all terms when they are first used and to develop each new concept in a logical progression. Larger pieces, like recursion and object-oriented programming are divided into a sequence of smaller steps and introduced over the course of several chapters.

Think Stats is an introduction to Probability and Statistics for Python programmers.

*Think Stats emphasizes simple techniques you can use to explore real data sets and answer interesting questions. The book presents a case study using data from the National Institutes of Health. Readers are encouraged to work on a project with real datasets.
*If you have basic skills in Python, you can use them to learn concepts in probability and statistics. Think Stats is based on a Python library for probability distributions (PMFs and CDFs). Many of the exercises use short programs to run experiments and help readers develop understanding.

This class will be constructed as a lecture-discussion, the purpose being to engage important theoretical issues while simultaneously studying their continuing historical significance. To enhance discussion, three debates will be held in class. Each student will be required to participate in one of these debates. Each student will also be required to write three short papers. Class participation is essential and will be factored into the final grade.The course will portray the history of theory neither as the history of architectural theory exclusively, nor as a series of prepackaged static pronouncements, but as part of a broader set of issues with an active history that must be continually probed and queried. The sequence of topics will not be absolutely predetermined, but some of the primary issues that will be addressed are: pedagogy, professionalism, nature, modernity and the Enlightenment. Classroom discussions and debates are intended to demonstrate differences of opinion and enhance awareness of the consequences that these differences had in specific historical contexts.

Students show their creativity and think like engineers as they design products or services that can be used to improve environmental problems in the community. While being aware of the steps of the engineering design process, students are challenged to consider all aspects of their products/services, including their costs, and impacts on the environment and people in their communities. They present their "green" solutions, in the form of advertisements, to the class for critical review of their feasibility.

Students learn basic concepts of robotic logic and programming by working with Boe-Bot robots—a simple programmable robotic platform designed to illustrate basic robotic concepts. Under the guidance of the instructor and a provided lab manual, student groups build simple circuits and write codes to make their robots perform a variety of tasks, including obstacle and light detection, line following and other motion routines. Eight sub-activities focus on different sensors, including physical sensors, phototransistors and infrared headlights. Students test their newly acquired skills in the final activity, in which they program their robots to navigate an obstacle course.

This short video and interactive assessment activity is designed to teach third graders about determining unknown angles in composite figures.

This short video and interactive assessment activity is designed to teach fourth graders about determining unknown angles in composite figures.

Student teams conduct an experiment that uses gold nanoparticles as sensors of chemical agents to determine which of four sports drinks has the most electrolytes. In this way, students are introduced to gold nanoparticles and their influence on particle or cluster size and fluorescence. They also learn about surface plasmon resonance phenomena and how it applies to gold nanoparticle technologies, which touches on the basics of the electromagnetic radiation spectrum, electrolyte chemistry and nanoscience. Using some basic chemistry and physics principles, students develop a conceptual understanding of how gold nanoparticles function. They also learn of important practical applications in biosensing.

With mobile phone alerts, social media updates, and 24/7 news cycles, it's hard to escape the daily flood of breaking news. But do kids really understand what they're seeing when stories first break? Help students analyze breaking news with a critical eye for false or incomplete information, and discuss the downsides of our "always-on" news media culture.

There are few ideas more sacred than the physical, emotional, and spiritual connections individuals have had with nature. The love of these beautiful landscapes has inspired countless generations to protect and preserve these lands and to make sure that the wild, untamed beauty will continue to awe future generations who have yet to come across their magnificence. On March 1, 1872, Yellowstone National Park was federally recognized as the country’s first protected area, 44 years before the National Park Service was founded in 1916. And with this first step, the conservation, culture, history, and preservation of parks and protected areas began. Not only do these parks and protected areas ensure the vitality of natural resources, but of historical and cultural resources as well. Constructing and defining the National Park Service as the revered organization that it is today was no easy task. While some individuals have used their talents to create and preserve the physical landscape—physically building the parks and developing policies and laws—others have used their literary and artistic skills to showcase their beauty and history. No one person is the guardian or champion of these protected areas—with collaboration, vision, and connection to the land, we are part of the parks equally as the parks are part of ourselves. Created by Clemson University Libraries.