Biology is designed for multi-semester biology courses for science majors. It is grounded on an evolutionary basis and includes exciting features that highlight careers in the biological sciences and everyday applications of the concepts at hand. To meet the needs of today’s instructors and students, some content has been strategically condensed while maintaining the overall scope and coverage of traditional texts for this course. Instructors can customize the book, adapting it to the approach that works best in their classroom. Biology also includes an innovative art program that incorporates critical thinking and clicker questions to help students understand—and apply—key concepts.

By the end of this section, you will be able to:Discuss the concept of entropyExplain the first and second laws of thermodynamics

By the end of this section, you will be able to:Discuss the concept of entropyExplain the first and second laws of thermodynamics

Students act as engineers to learn about the strengths of various epoxy-amine mixtures and observe the unique characteristics of different mixtures of epoxies and hardeners. Student groups make and optimize thermosets by combining two chemicals in exacting ratios to fabricate the strongest and/or most flexible thermoset possible.

This course aims to connect the principles, concepts, and laws/postulates of classical and statistical thermodynamics to applications that require quantitative knowledge of thermodynamic properties from a macroscopic to a molecular level. It covers their basic postulates of classical thermodynamics and their application to transient open and closed systems, criteria of stability and equilibria, as well as constitutive property models of pure materials and mixtures emphasizing molecular-level effects using the formalism of statistical mechanics. Phase and chemical equilibria of multicomponent systems are covered. Applications are emphasized through extensive problem work relating to practical cases.

Polymers are a vital part of our everyday lives and nearly all consumer products have a plastic component of some variation. Students explore the basic characteristics of polymers through the introduction of two polymer categories: thermoplastics and thermosets. During teacher demos, students observe the unique behaviors of thermoplastics. The fundamentals of thermoset polymers are discussed, preparing them to conduct the associated activity in which they create their own thermoset materials and mechanically test them. At the conclusion of this lesson-activity pair, students understand the basics of thermoplastics and thermosets, which may entice their interest in polymer engineering.

This course will cover fundamentals of digital communications and networking. We will study the basics of information theory, sampling and quantization, coding, modulation, signal detection and system performance in the presence of noise. The study of data networking will include multiple access, reliable packet transmission, routing and protocols of the internet. The concepts taught in class will be discussed in the context of aerospace communication systems: aircraft communications, satellite communications, and deep space communications.

Engineering thermodynamics is a branch of science that deals with the study of energy conversion and its relationship with heat and work. It's a fundamental discipline in engineering, providing the principles necessary for the analysis and design of various energy systems and processes. In this article, topics such as the systems, state, process, properties of pure substances, heat and work, and thermal equilibrium are meticulously explained to enable easy comprehension. This study guide would enable students to use thermodynamics to optimize the performance and efficiency of engines, power plants, refrigeration systems, and other devices that involve energy transfer. Additionally, understanding this concept of engineering thermodynamics would equip students with the initiative to design a sustainable system that helps mitigate greenhouse gases from fossil fuels.

This course covers the algorithmic and machine learning foundations of computational biology combining theory with practice. We cover both foundational topics in computational biology, and current research frontiers. We study fundamental techniques, recent advances in the field, and work directly with current large-scale biological datasets.

With the growing availability and lowering costs of genotyping and personal genome sequencing, the focus has shifted from the ability to obtain the sequence to the ability to make sense of the resulting information. This course is aimed at exploring the computational challenges associated with interpreting how sequence differences between individuals lead to phenotypic differences in gene expression, disease predisposition, or response to treatment.

This resource is a video abstract of a research paper created by Research Square on behalf of its authors. It provides a synopsis that's easy to understand, and can be used to introduce the topics it covers to students, researchers, and the general public. The video's transcript is also provided in full, with a portion provided below for preview:

"How does a person experiencing anesthesia lose consciousness? Despite billions of surgeries, scientists still don’t fully understand what happens in the brain when a patient goes under. New research in the journal Anesthesiology, however, provides a few more clues. Working in a group of patients with epilepsy, scientists used a new information measure to evaluate electrocorticography data -- and found that with anesthesia, there is a reduction in information integration and network connectivity. The team recorded electrocorticograms, or intracranial E-E-Gs, from nine patients who were anesthetized predominantly with propofol and underwent surgical treatment for epilepsy in China. To assess information integration, the team used a measure called [genuine permutation cross mutual information], or G-P-C-M-I. In an earlier study, they found the measure performed better than others using scalp EEG recordings..."

The rest of the transcript, along with a link to the research itself, is available on the resource itself.

Students use a watt meter to measure energy input into a hot plate or hot pot used to heat water. The theoretical amount of energy required to raise the water by the measure temperature change is calculated and compared to the electrical energy input to calculate efficiency.

This Lesson provides two different activities that require students to measure energy outputs and inputs to determine the efficiency of conversions and simple systems. One of the activities includes Lego motors and accomplishing work. The other investigates energy for heating water. They learn about by products of energy conversions and how to improve upon efficiency. The teacher can choose to use either of these or both of these. The calculations in the water heating experiment are more complicated than in the Lego motor activity. Thus, the heating activity is suitable for older students, only the Lego motor activity suitable for younger students.

This simulation lets learners explore how heating and cooling adds or removes energy. Use a slider to heat blocks of iron or brick to see the energy flow. Next, build your own system to convert mechanical, light, or chemical energy into electrical or thermal energy. (Learners can choose sunlight, steam, flowing water, or mechanical energy to power their systems.) The simulation allows students to visualize energy transformation and describe how energy flows in various systems. Through examples from everyday life, it also bolsters understanding of conservation of energy. This item is part of a larger collection of simulations developed by the Physics Education Technology project (PhET).

Life is chaos and the universe tends toward disorder. But why? If you think about it, there are only a few ways for things to be arranged in an organized manner, but there are nearly infinite other ways for those same things to be arranged. Simple rules of probability dictate that it's much more likely for stuff to be in one of the many disorganized states than in one of the few organized states. This tendency is so unavoidable that it's known as the 2nd Law of Thermodynamics. Obviously, disorder is a pretty big deal in the universe and that makes it a pretty big deal in chemistry - it's such a big deal that scientists have a special name for it: entropy. In chemistry, entropy is the measure of molecular randomness or disorder. For the next thirteen minutes, Hank hopes you will embrace the chaos as he teaches you about entropy.

Chapters:
Second Law of Thermodynamics
Entropy
DEMONSTRATION!
BA(OH)2•8H2O+NH4Ci
J.W. Gibbs & Gibbs Free Energy

This course provides a thorough introduction to the principles and methods of physics for students who have good preparation in physics and mathematics. Emphasis is placed on problem solving and quantitative reasoning. This course covers Newtonian mechanics, special relativity, gravitation, thermodynamics, and waves.

This is a graduate-level introduction to mathematics of information theory. We will cover both classical and modern topics, including information entropy, lossless data compression, binary hypothesis testing, channel coding, and lossy data compression.

6.0002 is the continuation of 6.0001 Introduction to Computer Science and Programming in Python and is intended for students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems and to help students, regardless of their major, feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals. The class uses the Python 3.5 programming language.