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1.- El Cálculo - Modelo Lineal

Dra. Patricia Salinas Martínez

4.8

Based on 1,040 ratings

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Dra. Patricia Salinas Martínez

Este curso forma parte de una secuencia con la que se propone un acercamiento a la Matemática Preuniversitaria que prepara para la Matemática Universitaria.

En él se asocia un significado real con el contenido matemático que se aprende y se integran tecnologías digitales en el proceso de aprendizaje.

El contexto real del movimiento en línea recta será el marco con el cual asociamos un primer significado y recapitulamos contenidos preuniversitarios relacionados con el Modelo Lineal.

Este curso forma parte de una secuencia con la que se propone un acercamiento a la Matemática Preuniversitaria que prepara para la Matemática Universitaria.

En él se asocia un significado real con el contenido matemático que se aprende y se integran tecnologías digitales en el proceso de aprendizaje.

El contexto real del movimiento en línea recta será el marco con el cual asociamos un primer significado y recapitulamos contenidos preuniversitarios relacionados con el Modelo Lineal.

Curso con crédito académico para alumnos admitidos y aspirantes a ingresar a su primer semestre de un programa de profesional en el Tecnológico de Monterrey. Si estás inscrito en este MOOC con el fin de obtener el crédito académico para el curso de Introducción a las matemáticas (Matemáticas Remedial), confirma tu interés en la acreditación a la cuenta: mooc@servicios.itesm.mx . Consulta las preguntas frecuentes para conocer el proceso de acreditación.

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What's inside

Syllabus

Entre números y cálculos

Hablaremos de números y operaciones con ellos. Puedes considerar en este módulo un repaso de algunos contenidos de Aritmética, pero está dirigido intencionalmente a que adquieras familiaridad con el campo ordenado y completo de los números reales.

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Prepara para la Matemática Universitaria y fortalece las bases previas

Fomenta la asociación de conceptos matemáticos con situaciones reales

Impartido por Patricia Salinas Martínez, instructora del Tecnológico de Monterrey

Integra tecnologías digitales en el proceso de aprendizaje, lo que puede mejorar la comprensión y el compromiso

Ofrece oportunidades para practicar la aplicación de conocimientos matemáticos en contextos reales

Forma parte de una secuencia de cursos que brindan una base integral en Matemáticas Preuniversitarias

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Reviews summary

Introducción al cálculo: modelo lineal

Según los estudiantes, este curso ofrece una sólida introducción a los conceptos fundamentales del cálculo, enfocándose en el modelo lineal. La conexión de la teoría con ejemplos del mundo real, particularmente el movimiento, es considerada muy efectiva para la comprensión. El ritmo del curso y la claridad de las explicaciones son ideales para principiantes y para aquellos que buscan reforzar conocimientos previos de matemáticas preuniversitarias. Los alumnos lo valoran como una excelente preparación para abordar cursos de matemáticas a nivel universitario, aunque algunos sugieren que los ejercicios iniciales podrían ser más desafiantes para quienes ya tienen alguna base.

Ideal para principiantes o repaso.

"El ritmo es perfecto para quienes empezamos de cero."

"Me pareció ideal para repasar conceptos olvidados."

"No sentí que fuera abrumador, el avance es gradual."

"Podría ser un poco lento si ya tienes conocimientos fuertes."

Refuerzan el aprendizaje de conceptos.

"Los ejercicios son clave para practicar lo visto en clase."

"Me gustaron los problemas propuestos para afianzar el conocimiento."

"Las actividades me ayudaron a aplicar los conceptos."

"Algunos ejercicios iniciales me parecieron demasiado sencillos para mi nivel."

Conecta teoría con ejemplos concretos.

"La asociación con el movimiento en línea recta fue muy clara."

"Entendí mejor con los ejemplos aplicados a situaciones reales."

"Los contextos reales facilitaron la comprensión de conceptos abstractos."

"Me gustó ver cómo aplicar lo aprendido a problemas concretos."

Proporciona una introducción fundamental.

"Excelente forma de introducirse al cálculo y recordar bases."

"Me ayudó a cimentar los conocimientos necesarios para cálculo."

"Siento que me dio una base firme para cursos más avanzados."

"Es un buen punto de partida si no tienes experiencia previa."

Ayuda a prepararse para estudios superiores.

"Definitivamente me siento más preparado para las matemáticas universitarias."

"Cumple su objetivo de nivelar para la educación superior."

"Lo recomendaría a estudiantes que van a entrar a la universidad."

"Es una buena antesala a cursos de cálculo más formales."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in 1.- El Cálculo - Modelo Lineal with these activities:

Crea una infografía sobre el movimiento en línea recta

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Crea un recurso visual que resuma los conceptos clave del movimiento en línea recta, conectando representaciones matemáticas y contextos reales.

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Recopila información de fuentes confiables
Selecciona los conceptos principales para incluir
Diseña una infografía visualmente atractiva

Desarrolla una presentación sobre aplicaciones de funciones lineales

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Crea una presentación que explore las aplicaciones prácticas de las funciones lineales en diversos campos, como la economía, la física y la ingeniería.

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Investiga y recopila ejemplos de aplicaciones de funciones lineales
Diseña diapositivas que presenten la información de manera clara y atractiva
Practica tu presentación y recibe comentarios de tus compañeros o un mentor

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Career center

Learners who complete 1.- El Cálculo - Modelo Lineal will develop knowledge and skills that may be useful to these careers:

Actuary

Actuaries use mathematical and statistical skills to assess risk and uncertainty. This course can help you develop the mathematical foundation that is essential for success in this field. The course covers topics such as numbers and operations, functions, and modeling. These topics are all relevant to the work of an actuary and will help in understanding complex financial models. The course also includes a focus on the real-world application of mathematics, which is important for actuaries who need to be able to communicate their findings to clients and stakeholders.

See salaries and explore the career path for Actuary

Data Analyst

Data analysts use mathematical and statistical methods to analyze data and solve problems. This course can help you develop the mathematical foundation that is necessary for this role by providing you with a strong understanding of topics such as data collection, data analysis, and data visualization. The course also covers a variety of mathematical topics that are relevant to data analysis, such as probability, and statistics. By taking this course, you will gain the skills and knowledge needed to collect, analyze, and interpret data.

See salaries and explore the career path for Data Analyst

Financial Analyst

Financial analysts use mathematical and statistical methods to analyze financial data and make investment recommendations. This course can help you develop the mathematical foundation that is necessary for this role by providing you with a strong understanding of topics such as financial modeling, valuation, and risk assessment. The course also covers a variety of mathematical topics that are relevant to financial analysis, such as probability and statistics. By taking this course, you will gain the skills and knowledge needed to analyze financial data and make sound investment decisions.

See salaries and explore the career path for Financial Analyst

Market Researcher

Market researchers use mathematical methods to collect and analyze data about markets and consumers. This course provides you with the mathematical foundation needed for success in this field, covering topics such as survey design, data analysis, and forecasting. The course also includes a focus on the real-world application of mathematics, which is important for market researchers who need to be able to communicate their findings to clients and stakeholders.

See salaries and explore the career path for Market Researcher

Operations Research Analyst

Operations research analysts use mathematical and statistical methods to solve problems in various industries. This course provides you with the mathematical foundation needed for success in this field, covering topics such as linear programming, optimization, and simulation. The course also includes a focus on the real-world application of mathematics, which is important for operations research analysts who need to be able to communicate their findings to clients and stakeholders.

See salaries and explore the career path for Operations Research Analyst

Quantitative Analyst

Quantitative analysts use mathematical and statistical methods to analyze financial data and make investment recommendations. This course provides you with the mathematical foundation needed for success in this field, covering topics such as financial modeling, valuation, and risk assessment. The course also covers a variety of mathematical topics that are relevant to quantitative analysis, such as probability and statistics.

See salaries and explore the career path for Quantitative Analyst

Risk Analyst

Risk analysts use mathematical and statistical methods to assess risk and uncertainty. This course provides you with the mathematical foundation needed for success in this field, covering topics such as probability, statistics, and risk modeling. The course also includes a focus on the real-world application of mathematics, which is important for risk analysts who need to be able to communicate their findings to clients and stakeholders.

See salaries and explore the career path for Risk Analyst

Statistician

Statisticians use mathematical and statistical methods to collect, analyze, and interpret data. This course provides you with the mathematical foundation needed for success in this field, covering topics such as probability, statistics, and data analysis. The course also includes a focus on the real-world application of mathematics, which is important for statisticians who need to be able to communicate their findings to clients and stakeholders.

See salaries and explore the career path for Statistician

Teacher

Teachers use mathematical methods to teach students about various mathematical concepts. This course provides you with the mathematical foundation needed for success in this field, covering topics such as numbers and operations, functions, and modeling. The course also includes a focus on the real-world application of mathematics, which is important for teachers who need to be able to make mathematics accessible to students.

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Underwriter

Underwriters use mathematical and statistical methods to assess risk and determine insurance premiums. This course provides you with the mathematical foundation needed for success in this field, covering topics such as probability, statistics, and risk modeling. The course also includes a focus on the real-world application of mathematics, which is important for underwriters who need to be able to communicate their findings to clients and stakeholders.

See salaries and explore the career path for Underwriter

Data Scientist

Data scientists use mathematical and statistical methods to analyze data and solve problems. This course can help you develop the mathematical foundation that is necessary for this role by providing you with a strong understanding of topics such as data collection, data analysis, and data visualization. The course also covers a variety of mathematical topics that are relevant to data science, such as probability and statistics.

See salaries and explore the career path for Data Scientist

Economist

Economists use mathematical and statistical methods to analyze economic data and make predictions about the economy. This course provides you with the mathematical foundation needed for success in this field, covering topics such as probability, statistics, and econometrics. The course also includes a focus on the real-world application of mathematics, which is important for economists who need to be able to communicate their findings to clients and stakeholders.

See salaries and explore the career path for Economist

Financial Risk Manager

Financial risk managers use mathematical and statistical methods to assess risk and make investment decisions. This course provides you with the mathematical foundation needed for success in this field, covering topics such as financial modeling, valuation, and risk assessment. The course also covers a variety of mathematical topics that are relevant to financial risk management, such as probability and statistics.

See salaries and explore the career path for Financial Risk Manager

Investment Analyst

Investment analysts use mathematical and statistical methods to analyze financial data and make investment recommendations. This course provides you with the mathematical foundation needed for success in this field, covering topics such as financial modeling, valuation, and risk assessment. The course also covers a variety of mathematical topics that are relevant to investment analysis, such as probability and statistics.

See salaries and explore the career path for Investment Analyst

Operations Manager

Operations managers use mathematical and statistical methods to improve the efficiency of operations. This course provides you with the mathematical foundation needed for success in this field, covering topics such as linear programming, optimization, and simulation. The course also includes a focus on the real-world application of mathematics, which is important for operations managers who need to be able to communicate their findings to clients and stakeholders.

See salaries and explore the career path for Operations Manager

Reading list

We've selected 30 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in 1.- El Cálculo - Modelo Lineal.

Thomas' Calculus

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Este libro es un texto integral de cálculo diseñado para estudiantes de ciencias e ingeniería. Cubre una amplia gama de temas, desde funciones hasta ecuaciones diferenciales. Es un recurso valioso para los estudiantes que buscan una comprensión más profunda del cálculo.

Numerical Methods in Mechanics of Materials

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Este libro de texto ampliamente utilizado proporciona una cobertura completa del cálculo, incluyendo el modelo lineal. Ofrece una presentación rigurosa y detallada, adecuada para estudiantes con una sólida formación matemática.

(English) Numerical Methods in Mechanics of Materials: With...

Paperback

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(English) Numerical Methods in Mechanics of Materials: With...

Kindle Edition

Mathematical Analysis, Second Edition

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Este libro proporciona una introducción completa al análisis matemático. Cubre una amplia gama de temas, desde funciones hasta ecuaciones diferenciales. Es un recurso valioso para los estudiantes que buscan una comprensión más profunda de los fundamentos matemáticos subyacentes en este curso.

(English) Classics of Russian Mathematics: Dzorich Course in...

1.- El Cálculo - Modelo Lineal

What's inside

Syllabus

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Reviews summary

Introducción al cálculo: modelo lineal

Activities

Career center

Reading list

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