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via Udemy |
Go to Course: https://www.udemy.com/course/look-ma-no-calculator/
Certainly! Here's a detailed review and recommendation for the course "Look Ma, No Calculator" on Coursera: --- **Course Review: "Look Ma, No Calculator"** "Look Ma, No Calculator" is an innovative and highly practical course designed for students and teachers who want to harness the power of Jupyter Notebooks to enhance their learning and teaching experiences in Math and Science. This course offers a fresh approach to traditional coursework by replacing expensive graphing calculators with free, cloud-based tools, making STEM education more accessible and interactive. **Course Content and Approach** The course covers the basics and advanced features of using Jupyter Notebooks—specifically through Google's free Colab platform integrated seamlessly with Google Drive. Participants will learn how to create, edit, and manage *ipynb files, which serve as interactive, live documents for coding, mathematical expressions, and visualizations. Students will gain skills in executing Python code directly within notebooks, including graphing, calculations, and symbolic math using the SYMPY package. Teachers will find this course invaluable for lesson planning and delivering dynamic, engaging lessons in real-time, coding alongside their students. A highlight of this course is its emphasis on using Markdown, LaTeX, and HTML to produce professional-quality formulas and text, similar to those seen in scholarly publications. This feature enables both students and educators to craft visually appealing and accurate mathematical representations. **Strengths** - Cost-effective: Completely free using Google Colab and Drive. - User-friendly: Intuitive the cell-based paradigm similar to Mathematica or MATLAB. - Versatile: Suitable for a range of educational levels, from beginner to advanced. - Practical: Enhances collaboration through easy sharing and editing of notebooks. - Comprehensive: Combines coding, mathematical typesetting, and graphing within one platform. **Who Should Enroll?** This course is perfect for high school and early college students eager to learn coding and mathematical visualization without the need for pricey software. Educators seeking to modernize their STEM teaching methodologies will also find it extremely beneficial. Whether you're new to programming or looking to incorporate more interactive elements into your math and science classrooms, this course has something to offer. **Final Recommendation** I highly recommend "Look Ma, No Calculator" to anyone interested in making STEM subjects more engaging and accessible. It’s an excellent introduction to coding, math visualization, and digital collaboration, all within an easy-to-use, free platform. This course empowers learners to see real-time results, deepen their understanding of complex concepts, and develop valuable skills for the digital age. --- Would you like me to tailor this review further or add specific details?
In my course, "Look Ma, No Calculator," students and teachers alike, will learn how to use Jupyter Notebooks for free in the cloud instead of using expensive graphing calculators in their course work! Students can use Jupyter Notebooks to complete classwork and homework in Math and Science classes and easily check their work. Teachers can use Jupyter Notebooks to plan their Math and Science lessons and deliver lessons in their classrooms coding on the fly with their students.We will be using a free version of Jupyter Notebooks called Colab which is integrated with Google Drive. You can save all your code on Google Drive in special *ipynb (interactive python notebook) files which run live. In other words all your input and output is automatically saved as you type and can easily be edited, shared and re-evaluated as needed.You will learn how to use Jupyter Notebooks as an Integrated Development Environment (IDE) on the Google Computer Platform (GCP) using Markdown and Coding cells. Markdown cells use Latex and HTML to produce professionally typeset formulas and text as is found in scholarly journals and textbooks. Coding cells use standard Python for arithmetic and graphing in addition to the SYMPY package for symbolic calculations as a Computer Algebra System (CAS). The cell paradigm is similar to that used by Mathematica or MATLAB.