Explorando funciones lineales con Python from Coursera

En este proyecto guiado programarás interfaces para explorar funciones lineales de la forma ?(?)=??+? . El proyecto está dirigido especialmente a los docentes de la escuela secundaria con conocimientos básicos de programación de computadoras. Los programas han sido diseñados teniendo en cuenta aspectos pedagógicos de la matemática y están documentados para que puedas mejorarlos y adaptarlos a tus clases con otras herramientas de la Internet. Durante el proyecto, utilizarás el lenguaje Python 3.8 en Jupyter Notebook con interfaces de ipywidgets para procesar números y cadenas de caracteres y realizarás 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 patrones aritméticos y algebraicos en las funciones lineales. Nota: los proyectos guiados de la serie "Explorando ... con Python" contienen varias tareas similares para que puedan ser elegidos independientemente. Si tomas funciones cuadráticas no será necesario llevar funciones lineales; ni funciones trigonométricas si eliges funciones trigonométricas inversas.

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Know what's good

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, and possible dealbreakers

Provides a basics-first foundation to help learners gain confidence

Helps learners understand linear functions and algebraic relationships

Suitable for secondary school teachers and mathematics instructors

Utilizes Python 3.8 in Jupyter Notebook for hands-on learning

Emphasizes pedagogical aspects of mathematics, addressing subject in a clear and structured way

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 Explorando funciones lineales con Python with these activities:

Review prerequisite material on calculus

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Ensure a solid foundation in calculus as it is essential for understanding linear algebra.

Browse courses on Calculus

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Review lecture notes, textbooks, or online resources on calculus.
Solve practice problems covering various aspects of calculus.
Participate in online forums or discussion groups to clarify any doubts.

Review core concepts of linear algebra

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Brush up on the fundamental principles of linear algebra to ensure a solid foundation for this course on matrices.

Browse courses on Linear Algebra

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Review lecture notes and textbooks on linear algebra.
Solve practice problems covering various aspects of linear algebra.
Participate in online forums or discussion groups to clarify any doubts.

Explore interactive Python tutorials for linear algebra

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Familiarize yourself with Python libraries and tools commonly used in linear algebra, enhancing your ability to apply these concepts in practice.

Browse courses on Jupyter Notebook

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Identify online tutorials or courses that provide interactive Python exercises for linear algebra.
Follow the tutorials step-by-step, experimenting with different examples.
Implement the learned concepts in your own Python scripts.

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Complete practice problems on matrix operations

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Reinforce your understanding of matrix operations through repetitive practice, improving your accuracy and speed in solving linear algebra problems.

Browse courses on Matrix Operations

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Find online problem sets or textbooks that provide practice problems on matrix operations.
Solve a significant number of problems, covering various types of matrix operations.
Identify patterns and develop strategies for solving different types of matrix problems efficiently.

Develop a visual representation of linear algebra concepts

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Create a visual representation, such as a diagram, infographic, or animation, to deepen your understanding of linear algebra concepts and their relationships.

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Identify a specific linear algebra concept you want to visualize.
Brainstorm and sketch out different ways to represent the concept visually.
Use appropriate software or tools to create the visual representation.
Share your visual representation with others for feedback and discussion.

Career center

Learners who complete Explorando funciones lineales con Python will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts use their expertise in data mining and machine learning to find patterns and generate insights from large datasets. By taking this online course, you can enhance your data analysis skills using Python 3.8.

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Software Developer

In this project, you will use Jupyter Notebook with ipywidgets interfaces to process numbers and strings, which will help build a foundation for your future endeavors in Software Development, particularly for Machine Learning.

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Machine Learning Engineer

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Business Analyst

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Operations Research Analyst

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Statistician

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Financial Analyst

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Data Scientist

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Data Engineer

Data Engineers build and maintain the infrastructure that stores and processes data. This course may be useful for developing the Python programming and data analysis skills commonly used in this role.

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Operations Manager

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Consultant

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Project Manager

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