T/BBDA 001-2003 Standards for the Construction and Implementation of Big Data Training Laboratories
T/BBDA 001-2003
Basic Information
Scope
Scope: This Standard establishes the general principles and norms for the construction and implementation of big data training laboratories, and stipulates the implementation requirements for laboratory teaching, training, scientific research, assessment, management, software and hardware resources, and safety. This Standard is applicable to related majors such as data science, big data, artificial intelligence, and digital economy. This Standard is applicable to the construction and operation and maintenance of big data training laboratories, and provides guidance for course resource construction, case library construction, talent cultivation, implementation norms, etc. Main technical content: 1. Scope 2. Normative reference documents 3. Terms and definitions 4. Course construction and development 5. Lecture and experimentation 6. Training and case construction 7. Scientific research 8. Assessment 9. Management 10. Safety norms 11. Physical space 12. Hardware conditions 13. Software resources 14. Data sources 15. Laboratory maintenance and operation