Descubriendo funciones trigonométricas inversas con Python from Coursera

En la matemática escolar es importante abordar varias perspectivas y técnicas para asimilar los conceptos matemáticos, realizar procedimientos con entendimiento e interpretar los resultados. Por ejemplo, las funciones matemáticas pueden ser estudiadas mediante expresiones algebraicas y trascendentes y representadas en listas, tablas y gráficas.

En este proyecto guiado aprenderás a programar interfaces interactivas para explorar funciones trigonométricas inversas. El proyecto está dirigido a los docentes de la escuela secundaria con conocimientos básicos de programación de computadoras, tales como operaciones aritméticas y sentencias condicionales. Utilizarás el lenguaje Python 3.9 en Jupyter Notebook con el módulo math y la biblioteca ipywidgets para realizar tareas de análisis y de programación mediante guías en vídeos y en un cuaderno de prácticas que incluye enlaces a recursos informáticos y matemáticos. Los vídeos duran aproximadamente una hora y las tareas requieren dedicar alrededor de dos horas. Al finalizar el proyecto estarás en capacidad de programar interfaces básicas para ayudar a los estudiantes a descubrir propiedades y patrones matemáticos en las funciones trigonométricas inversas.

Nota: los proyectos guiados de la serie "Explorando/Descubriendo/Tabulando/Graficando funciones ... con Python" contienen varias tareas similares para que puedan ser elegidos independientemente y solo los necesarios.

What's inside

Syllabus

Visión general del proyecto

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Diseñado para docentes de secundaria con conocimientos básicos de programación, como operaciones aritméticas y sentencias condicionales

Aprenderás a programar interfaces interactivas para explorar funciones trigonométricas inversas

Utiliza Python 3.9 en Jupyter Notebook con el módulo math y la biblioteca ipywidgets

Incluye vídeos explicativos y un cuaderno de prácticas con recursos informáticos y matemáticos

Adecuado para ayudar a los estudiantes a descubrir propiedades y patrones matemáticos en funciones trigonométricas inversas

Requiere conocimientos previos de programación, lo que puede ser un obstáculo para algunos docentes

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 Descubriendo funciones trigonométricas inversas con Python with these activities:

Visualización de funciones trigonométricas inversas con GeoGebra

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Utiliza GeoGebra para explorar visualmente las propiedades y patrones de las funciones trigonométricas inversas, mejorando la comprensión intuitiva.

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Crea una función arcoseno en GeoGebra.
Investiga el dominio y el rango de la función.
Grafica la función para diferentes valores de entrada.
Usa GeoGebra para animar la función y observar su comportamiento.

Contribución al repositorio de Python trigonométrico inverso

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Contribuye con código, documentación o ejemplos al repositorio de Python trigonométrico inverso para mejorar la comprensión de la implementación y el uso de estas funciones, fomentando la colaboración y el aprendizaje práctico.

Browse courses on Python

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Familiarízate con el repositorio y su estructura.
Identifica un área para contribuir.
Realiza cambios o adiciones de código.
Escribe documentación o ejemplos de uso.
Envía una solicitud de extracción para revisar tu contribución.

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Career center

Learners who complete Descubriendo funciones trigonométricas inversas con Python will develop knowledge and skills that may be useful to these careers:

Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze financial data. The course's focus on trigonometric functions and Python 3.9 will be helpful for developing the skills necessary for this role. Additionally, the course's exploration of interactive interfaces will be helpful for understanding how to visualize and interpret data. Overall, this course is a valuable resource for those who want to become Quantitative Analysts.

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Geophysicist

Geophysicists study the structure and dynamics of the Earth. The course's focus on trigonometric functions, in particular, will be helpful for developing the skills necessary for this role. Additionally, the course's exploration of interactive interfaces will be helpful for understanding how to visualize and interpret geophysical data. While the course does not cover all areas of geophysics, it can be a useful starting point for those interested in pursuing a career in Geophysics.

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Mathematician

Mathematicians conduct research and develop new mathematical theories. The course's focus on trigonometric functions, in particular, will be helpful for developing the skills necessary for this role. Additionally, the course's exploration of interactive interfaces will be helpful for understanding how to visualize and interpret mathematical concepts. While the course does not cover all areas of mathematics, it can be a useful starting point for those interested in pursuing a career in Mathematics.

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Astronomer

Astronomers study the universe and its contents. The course's focus on trigonometric functions, in particular, will be helpful for developing the skills necessary for this role. Additionally, the course's exploration of interactive interfaces will be helpful for understanding how to visualize and interpret astronomical data. While the course does not cover all areas of astronomy, it can be a useful starting point for those interested in pursuing a career in Astronomy.

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Physicist

Physicists study the fundamental laws of nature. The course's focus on trigonometric functions, in particular, will be helpful for developing the skills necessary for this role. Additionally, the course's exploration of interactive interfaces will be helpful for understanding how to visualize and interpret physical phenomena. While the course does not cover all areas of physics, it can be a useful starting point for those interested in pursuing a career in Physics.

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Data Scientist

Data Scientists use programming, mathematics, and statistics to extract knowledge from data. The course's focus on trigonometric functions and Python 3.9 will be helpful for developing the skills necessary for this role. Additionally, the course's exploration of interactive interfaces will be helpful for understanding how to visualize and interpret data. Overall, this course is a useful resource for those interested in becoming Data Scientists.

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Data Analyst

Data Analysts use programming languages to clean and analyze data. The course's focus on programming in Python 3.9 with the math module and ipywidgets library will help you to develop the programming skills necessary to succeed as a Data Analyst. Additionally, the course's emphasis on exploring trigonometric functions using interactive interfaces will be beneficial for understanding mathematical models. Overall, this course will be helpful for those interested in entering the field of Data Analytics.

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Machine Learning Engineer

Machine Learning Engineers develop and implement machine learning algorithms. The course's focus on trigonometric functions and Python 3.9 will be helpful for developing the programming skills necessary for this role. Additionally, the course's exploration of interactive interfaces will be helpful for understanding how to visualize and interpret data. Overall, this course may be useful for those interested in entering this field.

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Actuary

Actuaries use mathematical and statistical models to assess risk and uncertainty. The course's focus on trigonometric functions and programming can be helpful for developing the skills necessary to enter this field. Additionally, the course's exploration of interactive interfaces will be helpful for understanding how to visualize and interpret data. While the course does not directly cover actuarial science, it can provide a solid foundation in mathematics and programming.

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Statistician

Statisticians use mathematical and statistical models to collect, analyze, and interpret data. The course's focus on trigonometric functions and programming will be helpful for developing the skills necessary for this role. Additionally, the course's exploration of interactive interfaces will be helpful for understanding how to visualize and interpret data. Overall, this course may be beneficial for those interested in pursuing a career in Statistics.

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Financial Analyst

Financial Analysts use financial models to analyze investments and make recommendations. The course's focus on trigonometric functions and programming can be helpful for developing the skills necessary for this role. While the course does not directly cover financial analysis, it can provide a strong foundation in mathematics and programming that will be helpful for success in this field.

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Economist

Economists study the production, distribution, and consumption of goods and services. While the course does not directly cover economics, its focus on trigonometric functions and Python 3.9 may be helpful for developing the analytical and programming skills necessary for this role. The course's exploration of interactive interfaces will be helpful for understanding how to visualize and interpret economic data. Overall, this course may be useful for those interested in pursuing a career in Economics.

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Operations Research Analyst

Operations Research Analysts use mathematical models to improve efficiency and productivity within organizations. The course's focus on trigonometric functions and programming will be helpful for developing the skills necessary for this role. Additionally, the course's exploration of interactive interfaces will be helpful for understanding how to visualize and interpret data. Overall, this course may be useful for those interested in entering the field of Operations Research.

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Computer Scientist

Computer Scientists conduct research and develop new computing technologies. The course's focus on Python 3.9 and ipywidgets will help to build a foundation in programming and software development. Additionally, the course's exploration of trigonometric functions and mathematical models will be helpful for understanding computer science concepts. While this course may not be directly related to computer science, it can be helpful for those interested in entering this field.

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Software Engineer

Software Engineers write and maintain code for a variety of applications. This course's focus on Python 3.9 and ipywidgets will help you build a foundation in programming and software development. Additionally, the course's exploration of mathematical concepts will be helpful for understanding software design principles. While this course may not be directly related to software engineering, it can be helpful for those interested in entering this field.

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