Computational Thinking & Programming (Python) - Math classes
Computational thinking helps you develop logical processing and algorithmic thinking while solving real-world problems across a wide range of domains. There’s a shift in mathematics education from procedural symbolic manipulation toward skills, like computational thinking, that better prepare students for the future of work.
Python is a free, popular, powerful and easy to learn programming language. With the aid of the Python programming language and a multiple math platform developed by Texas Instruments (that adds modules for Python, like BBC microbit), you’ll learn how to visualize solutions for a range of math problems as you use code to explore key mathematical concepts like algebra, trigonometry, matrices and cellular automata.
People learn best by doing.
This hasn’t been a daily practice in schools, though, which tend to favour passive learning.“Doing” in English and history classes might mean students write papers or give presentations, and science students perform experiments, but what do math students do? Teachers can use this course’s ideas to challenge their students, making math more approachable and relevant.
What better way to teach this subject (e.g. the sum of many terms in a sequence) than in a real-world context?
What better way to develop a math’s teaching technique in a STEM context?
Once you develop some programming knowledge, especially when you know how to use Python, you can do this and much more!
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Our pricing policy follows the official regulations on transparent costs.
The costs can be supported with a KA grant under the Erasmus+ programme.
Course fee: 580 euros per participant (6-day course).
- Learning Together’s Welcome Kit;
- A Daily Program designed by our trainers;
- Welcome Dinner to meet your new colleagues;
- Social and Cultural Heritage Activities integrated into networking and social dynamics:
- Cultural Heritage Day: Guided Porto visit;
- Hop On & Hop Off Tour Bus;
- 6 Bridges River Cruise;
- Visit to the Port Wine Cellars & Wine Tasting Experience.
- Daily Coffee Break;
- Logistic, organizational and administrative support from headquarters;
- Daily assistance and on-call support throughout the whole week.
This course is for any math teacher that wants to use the most modern tools available to approach math topics like trigonometry and algebra.
The main goal is about using the newest, coolest tools out there to get creative and learn real computer skills while discovering the connections between math, art, science and technology. Processing will provide the graphics, shapes, motion, and colors, while Python does the calculating and follows your instructions behind the scenes.
By the end of this course, you’ll have an arsenal of practical coding solutions that can be used and modified to solve a wide range of practical problems in mathematics and data science.
- Understanding computational thinking;
- Decomposing problems, recognizing patterns & generalizing them;
- Designing algorithms;
- Identify Python language core aspects (programming and features);
- Understand and apply core programming concepts like datastructures, conditionals, loops, variables, and functions;
- Use different tools for writing and running Python code;
- Design and write fully-functional Python programs using commonlyused data structures, custom functions, reading and writing to files;
- Create digital content for creative learning scenarios;
- Exchange experiences & grow professionally in a Europeanenvironment, build strong relationships with European teachers.
This course also strives to:
- Reinforce self-awareness as a European citizen;
- Improve communication and social skills;
- Promote intercultural awareness;
- Improve language skills.
- Welcome dinner,icebreaking
- Meet & greet, networking – participants and staff
- Week briefing & planning
- Computational thinking & its importance for learning mathematics
- Developing computational thinking in mathematics without programming – examples
- The need for a programming language to fully develop computational thinking and the motivation for learning math
- First steps in Python programming language
- Solving math problems by applying simple Python’s programming language features
- Python conditions in a real-world context
- Using python lists to solve problems with data and probabilities
- Functions in Python
- Case practice, individual
- Texas Instruments Turtle graphics module/ BBC micro:bit with Python
- Activity performed for students during maths and/or STEM classes using Python language (its capabilities and tools)
- Group Work
- Activity presentation
- Course roundup, feedback, & review
- Learning outcomes’ validation
- Certification Ceremony
*This schedule/ program describes likely activities but may differ based on the trainer's discretion and objectives.
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