1. General information about the module
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Module code: OMH10422
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Vietnamese module designation: ỨNG DỤNG THỐNG KÊ VÀ HỌC MÁY TRONG KHOA HỌC TRÁI ĐẤT
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English module designation: Applied statistics and machine learning in geosciences
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Credit points: 2
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Workload:
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Contact hours: lecture: 15, practice: 30
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Private study: 30
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Type of module: Specialization
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Required and recommended prerequisites for joining the module: Application Programming, Introduction to Oceanography, Introduction to Hydrology, Introduction to Meteorology
2. Module objectives/intended learning outcomes
This course provides fundamental knowledge on the application of statistical methods and machine learning in Earth sciences, with a particular focus on Oceanography, including Meteorology and Climatology, Oceanography, and Hydrology. It introduces sampling principles, sample size estimation, and essential statistical methods commonly used in specialized research. Additionally, machine learning, a cutting-edge tool widely applied across various scientific fields, is presented at a foundational level. The course includes applied examples relevant to the discipline, along with discussions and hands-on exercises to reinforce learning.