# Gravitational Wave Data Exploration: A Practical Training in Programming and Analysis
# Gravitational Wave Data Exploration: A Practical Training in Programming and Analysis
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> Under construction...
Welcome to the GitHub repository for the Gravitational Wave Data Exploration Bootcamp Series!
Welcome to the GitHub repository for the Gravitational Wave Data Exploration Bootcamp Series!
This course is meticulously designed to provide a solid foundation in programming, operational knowledge, and data-driven modeling skills centered around gravitational wave data analysis and research.
This course is meticulously designed to provide a solid foundation in programming, operational knowledge, and data-driven modeling skills centered around gravitational wave data analysis and research.
- Equip participants with robust programming and operational skills, and foundational training in data-driven modeling, focusing on gravitational wave data analysis and related research areas.
- Equip participants with robust programming and operational skills, and foundational training in data-driven modeling, focusing on gravitational wave data analysis and related research areas.
-**Note: The course is conducted entirely in Mandarin Chinese to cater to a wide range of Chinese-speaking students and researchers.**
-**Note: The course is conducted entirely in Mandarin Chinese to cater to a wide range of Chinese-speaking students and researchers.**
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- Hands-On: Identifying Gravitational Waves from Binary Black Hole Systems using CNN
- Hands-On: Identifying Gravitational Waves from Binary Black Hole Systems using CNN
- Frontiers of Gravitational Wave Data Analysis and AI
- Frontiers of Gravitational Wave Data Analysis and AI
## Collaborating Institutions
- University of Chinese Academy of Sciences (UCAS)
- International Centre for Theoretical Physics Asia-Pacific (ICTP-AP)
- Taiji Laboratory for Gravitational Wave Universe
## Getting Started
## Getting Started
To participate in this course:
To participate in this course:
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We welcome contributions to enhance course materials. Please fork the repository, make your changes, and submit a pull request.
We welcome contributions to enhance course materials. Please fork the repository, make your changes, and submit a pull request.
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## Collaborating Institutions
-[University of Chinese Academy of Sciences](http://english.ucas.ac.cn/)(UCAS)