Digital library
Textbooks, references and open learning resources.
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Introduction to Probability
Charles Grinstead; J. Laurie Snell · American Mathematical Society · 2006
Probability theory began in seventeenth century France when the two great French mathematicians, Blaise Pascal and Pierre de Fermat, corresponded over two problems from games of chance. Problems like those Pascal and Fermat solved continuedto influence such early researchers as Huygens, Bernoulli, and DeMoivre in establishing a mathematical theory of probability. Today, probability theory is a wellestablished branch of mathematics that finds applications in every area of scholarlyactivity from music to physics, and in daily experience from weather prediction topredicting the risks of new medical treatments. This text is designed for an introductory probability course taken by sophomores,juniors, and seniors in mathematics, the physical and social sciences, engineering,and computer science. It presents a thorough treatment of probability ideas andtechniques necessary for a form understanding of the subject. The text can be usedin a variety of course lengths, levels, and areas of emphasis. For use in a standard one-term course, in which both discrete and continuousprobability is covered, students should have taken as a prerequisite two terms ofcalculus, including an introduction to multiple integrals. In order to cover Chapter 11, which contains material on Markov chains, some knowledge of matrix theoryis necessary. The text can also be used in a discrete probability course. The material has beenorganized in such a way that the discrete and continuous probability discussions arepresented in a separate, but parallel, manner. This organization dispels an overlyrigorous or formal view of probability and o?ers some strong pedagogical valuein that the discrete discussions can sometimes serve to motivate the more abstractcontinuous probability discussions. For use in a discrete probability course, studentsshould have taken one term of calculus as a prerequisite. Very little computing background is assumed or necessary in order to obtain fullbenefits from the use of the comp
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Geometrische Optica
Joseph Braat; Aurèle Adam · TU Delft Open · 2025
The book provides the scientific basis of geometrical optics, ray tracing, and aberration theory. It applies this knowledge to optical systems and their imaging performance and establishes the link between ray optics and wave optics.
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Más allá de la digitalización: La necesidad de la transformación digital estratégica
Marcos Antonio Espinoza-Mina; Alejandra Mercedes Colina-Vargas · Editorial Grupo AEA · 2025
En la era actual de disrupción digital, impulsada por avances en IA, Big Data y cambios en las expectativas del cliente, la Transformación Digital Estratégica (TDE) es un imperativo que va más allá de la simple digitalización. Este texto ofrece una guía estratégica integral, basada en investigación académica y análisis de la industria, para navegar esta compleja transición. Se presenta la TDE como un fenómeno holístico y multifacético que requiere la integración coherente de estrategia, cultura organizacional y liderazgo transformador. Es crucial desarrollar agilidad y capacidades dinámicas para la adaptación e innovación continuas. Los pilares clave incluyen el alineamiento estratégico, la creación de valor digital centrado en el cliente, modelos de negocio adaptables, gestión de datos como activo, culturas ágiles y liderazgo digital. Se examina el rol de tecnologías habilitadoras como Cloud (agilidad), IA (eficiencia/personalización) y Analítica Avanzada (decisiones), enfocadas en generar valor empresarial, junto a IoT y Blockchain. El texto también aborda desafíos inherentes como resistencia cultural, ciberseguridad, privacidad y ética de la IA, extrayendo perspectivas de ejemplos y mejores prácticas. Dirigido a estudiantes y profesionales, proporciona un marco integrado, accionable y basado en evidencia para liderar una TDE exitosa y sostenible.
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Alternativas de alimentación para rumiantes
Jessica Cargua-Chávez; Adriana Carrillo-Cruz; Galo Cedeño-García · Editorial Grupo AEA · 2024
Se examina estrategias para optimizar la alimentación de rumiantes mediante el cultivo y manejo de diferentes forrajes en Santo Domingo de los Tsáchilas, Ecuador. En el primer capítulo, se destaca cómo el encalado y la fertilización mejoran el rendimiento del maíz, enfatizando en dosis óptimas de nutrientes. El segundo capítulo aborda la fertilización orgánica del pasto Mombasa bajo sombra de naranja, resaltando la superioridad de la pollinaza en el incremento de rendimiento y calidad del forraje. Los capítulos siguientes se centran en la edad óptima de corte para maximizar la biomasa del pasto Cuba OM-22, el manejo del King Grass como alternativa forrajera para el sector ganadero, y el desarrollo del forraje verde hidropónico de sorgo y maíz a dos densidades de siembra, demostrando que técnicas específicas de manejo y cultivo pueden significativamente influir en la productividad y sostenibilidad de la alimentación rumiante. A través de estos estudios, el libro propone soluciones prácticas y sustentables para mejorar la nutrición de rumiantes en entornos tropicales.
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Coastal Dynamics
Judith Bosboom & Marcel J.F. Stive · Delft University of Technology
In the contents: 1.2.01: What is coastal engineering · 1.04: Examples of engineering applications · 7.2.3: Engineering applications
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Introductory Statistics
Barbara Illowsky & Susan Dean · De Anza College
This text follows scope and sequence requirements of a one-semester introduction to statistics course and is geared toward students majoring in fields other than math or engineering. The text assumes some knowledge of intermediate algebra and focuses on statistics application over theory. Introductory Statistics includes innovative practical applications that make the text relevant and accessible, as well as collaborative exercises, technology integration problems, and statistics labs.
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Biotechnology
Kareen Martin & Patricia Zuk · West Los Angeles College
In the contents: 01: Introduction to Biotechnology · 1.01: Definition and a Short History of Biotechnology · 1.02: Applications of Biotechnology
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Introductory Statistics
Barbara Illowsky & Susan Dean · De Anza College
This text follows scope and sequence requirements of a one-semester introduction to statistics course and is geared toward students majoring in fields other than math or engineering. The text assumes some knowledge of intermediate algebra and focuses on statistics application over theory. Introductory Statistics includes innovative practical applications that make the text relevant and accessible, as well as collaborative exercises, technology integration problems, and statistics labs.
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Water 130: Waterworks Mathematics
Alvord and Blasberg · College of the Cayons
In the contents: 10: Engineering and Construction
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Introductory Statistics
Barbara Illowsky & Susan Dean · De Anza College
This text follows scope and sequence requirements of a one-semester introduction to statistics course and is geared toward students majoring in fields other than math or engineering. The text assumes some knowledge of intermediate algebra and focuses on statistics application over theory. Introductory Statistics includes innovative practical applications that make the text relevant and accessible, as well as collaborative exercises, technology integration problems, and statistics labs.
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From Growing to Biology: Plants
Gokhan Hacisalihoglu · Florida A&M University
In the contents: 1.30: How to Study STEM (Science Technology Engineering and Math)
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Introductory Statistics
Barbara Illowsky & Susan Dean · De Anza College
This text follows scope and sequence requirements of a one-semester introduction to statistics course and is geared toward students majoring in fields other than math or engineering. The text assumes some knowledge of intermediate algebra and focuses on statistics application over theory. Introductory Statistics includes innovative practical applications that make the text relevant and accessible, as well as collaborative exercises, technology integration problems, and statistics labs.