Graficando funciones trigonométricas 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 gráficas de funciones trigonométricas. El proyecto está dirigido especialmente 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 interfaces de ipywidgets, arreglos numéricos de numpy y gráficos del módulo pyplot de matplotlib 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 gráficas de las funciones trigonométricas.

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.

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Syllabus

Visión general del proyecto

En este proyecto guiado aprenderás a programar interfaces interactivas para explorar gráficas de funciones trigonométricas. El proyecto está dirigido especialmente 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 interfaces de ipywidgets, arreglos numéricos de NumPy y gráficos del módulo pyplot de matplotlib 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 gráficas de las funciones trigonométricas.

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Teaches trigonometry functions using Python programming

Uses Python 3.9 with Jupyter Notebook, ipywidgets, NumPy, and matplotlib for programming tasks

Suitable for high school teachers with basic programming knowledge

Introduces programming to help students discover patterns in trigonometry function graphs

Provides video guides and a practice notebook with links to resources

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 Graficando funciones trigonométricas con Python with these activities:

Ejercicios de práctica para gráficas de funciones

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Fortalecer la comprensión de los conceptos y técnicas de gráficas de funciones para abordar problemas de manera efectiva

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Resolver problemas de gráficos de funciones básicas
Analizar y dibujar las gráficas de las funciones trigonométricas
Identificar y comprender las propiedades de las gráficas

Tutoriales sobre uso de bibliotecas para graficar funciones

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Adquirir experiencia práctica en el uso de bibliotecas para generar y analizar gráficas, lo que mejora la comprensión de los conceptos de funciones

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Explorar documentación y ejemplos de bibliotecas relevantes
Implementar funciones para generar gráficas utilizando las bibliotecas
Personalizar las gráficas para mejorar la visualización

Crear presentaciones interactivas para funciones trigonométricas

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Mejorar la capacidad de comunicación y la comprensión profunda de las funciones trigonométricas a través de la creación de presentaciones visuales

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Recopilar información sobre funciones trigonométricas
Diseñar y crear diapositivas atractivas visualmente
Incorporar interactividad y animaciones para mejorar la participación

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Taller sobre gráficas interactivas con Python

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Ampliar los conocimientos prácticos y las habilidades en la creación de gráficas interactivas con Python, lo que permite un aprendizaje más profundo y una mayor participación

Browse courses on Python

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Asistir al taller y participar activamente
Implementar las técnicas y metodologías aprendidas
Realizar ejercicios y proyectos prácticos utilizando Python

Career center

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Data Analyst

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Risk Analyst

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Business Analyst

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Data Scientist

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Research Analyst

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Actuary

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Software Engineer

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Teacher

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Financial Analyst

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Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze financial data. They develop models that can predict future outcomes or make decisions. This course on graphing trigonometric functions with Python can be helpful for Quantitative Analysts because it provides a strong foundation in the mathematical concepts and programming skills that are essential for success in this field.

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