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Criminal Law uses a two-step process to augment learning, called the applied approach. First, after building a strong foundation from scratch, Criminal Law introduces you to crimes and defenses that have been broken down into separate components. It is so much easier to memorize and comprehend the subject matter when it is simplified this way. However, becoming proficient in the law takes more than just memorization. You must be trained to take the laws you have studied and apply them to various fact patterns. Most students are expected to do this automatically, but application must be seen, experienced, and practiced before it comes naturally. Thus the second step of the applied approach is reviewing examples of the application of law to facts after dissecting and analyzing each legal concept. Some of the examples come from cases, and some are purely fictional. All the examples are memorable, even quirky, so they will stick in your mind and be available when you need them the most (like during an exam). After a few chapters, you will notice that you no longer obsess over an explanation that doesn't completely make sense the first time you read it—you will just skip to the example. The examples clarify the principles for you, lightening the workload significantly.
- Keywords:
- Criminal law United States Textbooks
- Resource Type:
- e-book
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e-book
This book is about complexity science, data structures and algorithms, intermediate programming in Python, and the philosophy of science: Data structures and algorithms: A data structure is a collection that contains data elements organized in a way that supports particular operations. For example, a dictionary organizes key-value pairs in a way that provides fast mapping from keys to values, but mapping from values to keys is generally slower. An algorithm is a mechanical process for performing a computation. Designing efficient programs often involves the co-evolution of data structures and the algorithms that use them. For example, the first few chapters are about graphs, a data structure that is a good implementation of a graph---nested dictionaries---and several graph algorithms that use this data structure. Python programming: This book picks up where Think Python leaves off. I assume that you have read that book or have equivalent knowledge of Python. As always, I will try to emphasize fundmental ideas that apply to programming in many languages, but along the way you will learn some useful features that are specific to Python. Computational modeling: A model is a simplified description of a system that is useful for simulation or analysis. Computational models are designed to take advantage of cheap, fast computation. Philosophy of science: The models and results in this book raise a number of questions relevant to the philosophy of science, including the nature of scientific laws, theory choice, realism and instrumentalism, holism and reductionism, and Bayesian epistemology. 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. Complexity science is an interdisciplinary field---at the intersection of mathematics, computer science and physics---that focuses on these kinds of models. That's what this book is about.
- Subjects:
- Computing, Data Science and Artificial Intelligence
- Keywords:
- Computational complexity Textbooks Python (Computer program language)
- Resource Type:
- e-book
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e-book
The overall goal of the authors with General Chemistry: Principles, Patterns, and Applications was to produce a text that introduces the students to the relevance and excitement of chemistry. Although much of first-year chemistry is taught as a service course, Bruce and Patricia feel there is no reason that the intrinsic excitement and potential of chemistry cannot be the focal point of the text and the course. So, they emphasize the positive aspects of chemistry and its relationship to students' lives, which requires bringing in applications early and often. In addition, the authors feel that many first year chemistry students have an enthusiasm for biologically and medically relevant topics, so they use an integrated approach in their text that includes explicit discussions of biological and environmental applications of chemistry. Topics relevant to materials science are also introduced to meet the more specific needs of engineering students. To facilitate integration of such material, simple organic structures, nomenclature, and reactions are introduced very early in the text, and both organic and inorganic examples are used wherever possible. This approach emphasizes the distinctions between ionic and covalent bonding, thus enhancing the students' chance of success in the organic chemistry course that traditionally follows general chemistry. Finally, the authors made a conscious effort to treat material that has traditionally been relegated to boxes, and thus perhaps perceived as peripheral by the students, by incorporating it into the text to serve as a learning tool. To begin the discussion of chemistry rapidly, the traditional first chapter introducing units, significant figures, conversion factors, dimensional analysis, and so on, has been reorganized. The material has been placed in the chapters where the relevant concepts are first introduced, thus providing three advantages: Eliminates the tedium of the traditional approach, which introduces mathematical operations at the outset, and thus avoids the perception that chemistry is a mathematics course; Avoids the early introduction of operations such as logarithms and exponents, which are typically not encountered again for several chapters and may easily be forgotten when they are needed; and Provides a review for those students who have already had relatively sophisticated high school chemistry and math courses, although the sections are designed primarily for students unfamiliar with the topic. Consider this text for your course if you are interested in In summary, a text that represents a step in the evolution of general chemistry texts toward one that reflects the increasing overlap between chemistry and other disciplines. Most importantly, if you want a text that discusses exciting and relevant aspects of biological, environmental, and materials science that are usually relegated to the last few chapters, in a format that allows the you to tailor the emphasis to the needs of the class. Request your desk copy today.
- Subjects:
- Chemistry
- Keywords:
- Environmental chemistry Chemistry Physical theoretical Chemistry Textbooks
- Resource Type:
- e-book