| Kode Mata Kuliah | TG7013 / 3 SKS |
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| Penyelenggara | 323 - Geophysical Engineering / FTTM |
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| Kategori | Lecture |
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| Bahasa Indonesia | English |
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| Nama Mata Kuliah | Sintesis Data Deret Waktu-Spasial | Time-Spatial Series Data Synthesis |
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| Bahan Kajian | - Analisa dan sintesa data deret waktu: sinyal analog dan digital;
- Transformasi Fourier: DFT dan FFT; konvolusi dan korelasi; teori sampling; frequency filtering; time-frequency representation: STFT, wavelet dan S-transform;
- Analisis dan sintesa data spatial: review spatial statistics; metoda nearest neighbor, triangulation dan inverse distance, variogram dan covariance;
- Metoda two-point statistics: Kriging, Kriging with Trend, Co-Kriging, Co-located Co-Kriging; serta metoda multi-point statistics;
- Aplikasi analisa dan sintesa data deret waktu dan spatial dalam geofisika.
| - Time series data analysis and synthesis: analog and digital signals;
- Fourier transform: DFT and FFT; convolution and correlation; sampling theory; frequency filtering; time–frequency representation: STFT, wavelet, and S-transform;
- Spatial data analysis and synthesis: review of spatial statistics; nearest neighbor method, triangulation and inverse distance, variogram and covariance;
- Two-point statistics methods: Kriging, Kriging with Trend, Co-Kriging, Co-located Co-Kriging; and multi-point statistics methods;
- Applications of time series and spatial data analysis and synthesis in geophysics.
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| Capaian Pembelajaran Mata Kuliah (CPMK) | - Memahami metoda analisis data deret waktu dan spatial,
- Mampu mengevaluasi dan membuat perangkat untuk membantu menyelesaikan beberapa permasalahan geofisika, baik untuk data deret waktu yang bersifat stationary, maupun yang non-stationary; serta data spatial, baik menggunakan pendekatan two-point statistics maupun multi-point statistics.
| - Students understand methods for time series and spatial data analysis.
- Students are able to evaluate and develop tools to help solve various geophysical problems, both for stationary and non-stationary time series data, as well as spatial data using either two-point statistics or multi-point statistics approaches.
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| Metode Pembelajaran | Kolaborasi atau diskusi kelompok, presentasi, studi kasus, kombinasi ceramah | Group collaboration or discussion, presentations, case studies, and a combination of lectures. |
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| Modalitas Pembelajaran | Luring, bauran, daring | Offline, blended, online. |
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| Jenis Nilai | ABCDE |
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| Metode Penilaian | Kehadiran, presentasi, dan tugas | Attendance, presentations, and assignments. |
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| Catatan Tambahan | | |
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