| Kode Matakuliah:SB5102 | Bobot sks:3 | Semester:1 | KK / Unit Penanggung Jawab:Umum/Bersama | Sifat:Wajib Prodi |
| Nama Matakuliah | Analisis Data Kebumian | |||
| Earth Science Data Analysis | ||||
| Silabus Ringkas | Teori sinyal dan system: analisa spectral dan analisa time-frequency untuk sinyal stasioner maupun non stasioner serta aplikasinya dalam sains kebumian dan Konsep dasar statistik dan geostatistik, analisa data spasial and pemetaan, serta aplikasinya dalam Sains Kebumian. | |||
| Signal and system theory; spectral analysis and time frequency history for stationary and non-stationary signals, its applications in the earth science and Basic concept of statistics and geostatistics, spatial data analysis and mapping. Its applications in earth sciences. | ||||
| Silabus Lengkap | Konsep Dasar Sinyal analog, Deret Fourier dan Fourier Transform, konvolusi, korelasi dan spectrum. Konsep dasar sinyal digital, teori sampling, aliasing dan anti-aliasing. Desain filter digital, representasi fungsi transfer dan respons impuls, analisa spectral sinyal stasioner dan non stasioner, Fast Fourier Transform, Short-time Fourier Transform, Gabor Transform, wavelet Transform, dan stockwell transform serta aplikasinya dalam sains kebumian. Konsep dasar statistic variable tunggal, variable acak dan distribusi probabilitas. Statistic multi-variable, statistic spasial. Variogram dan covariances, metode pemetaan konvensional dan metoda pemetaan secara geostattik. Kriging, co-Kriging, col lorated co-Kriging, serta Kriging dengan Trend dan drift external. Implementasi dalam MatLab serta aplikasinya dalam sains kebumian. | |||
| Basic concept of analog signal, Fourier series and Fourier transform, convolution and correlation, spectrum. Basic concept of digital signal, sampling theory, aliasing and anti aliasing. Digital filter design, impulse, response and transfer function. Spectral analysis of stationary and non stationary signals. Fast Fourier Transform, Short time Fourier Transform, Gabor Transform, wavelet Transform, dan stockwell transform and examples of signal analysis applications in earth sciences. Single variable statistics, random variable, probability density function, multi-variable statistics, spatial statistics, correlation distance, co-variances and variogram analysis, conventional mapping methods, geostatistical approaches in mapping: Kriging, co-Kriging, collorated co-Kriging, Kriging with trend and Kriging with external drift. Matlab implementation and applications in earth sciences. | ||||
| Luaran (Outcomes) | Mahasiwa dapat mengerti konsep dari digital sinyal analysis dan aplikasinya dalam sains kebumian, serta dapat mengimplementasikan konsep-konsep statistik dalam persoalan ilmu kebumian.
Students will understand the concepts of digital signal analysis and its application in earth sciences and can implement the statistical concepts in geostatistical problems. |
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| Matakuliah Terkait | ||||
| Kegiatan Penunjang | ||||
| Pustaka | Kamen, E.W and B.S. Heck: “Fundamentals of Signals and Systems”, Prentice-Hall International Inc., 1997. (Pustaka utama) | |||
| Bendat, J.S.: “Engineering Applications of Correlation and Spectral Analysis”, A. Wiley-Inter Science Pub, John Wiley & Sons, 1980. (Pustaka alternatif) | ||||
| Papulis, A.: “Signal Analysis”, Mc Graw-Hill, New York, 1977 (Pustaka pendukung) | ||||
| Philip, J. L. Jr. : “How it think about Statistics”, 1980 (Pustaka pendukung) | ||||
| Mood A. M, F.A. Graybill, D. C. Boes : “Introduction to the Theory of Statistic”, McGraw-Hill, 1974 (Pustaka pendukung) | ||||
| Don-Hampson and Drian Russell, “Practical Geostatistics”, 1998 (Pustaka pendukung) | ||||
| Panduan Penilaian | ||||
| Catatan Tambahan | ||||
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