| Kode Mata Kuliah | GL2101 / 2 SKS |
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| Penyelenggara | 120 - Geological Engineering / FITB |
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| Kategori | Lecture |
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| Bahasa Indonesia | English |
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| Nama Mata Kuliah | Matematika dan Statistik untuk Geologi | Mathematics and Statistics to Geology |
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| Bahan Kajian | - Pendahuluan: Aturan perkuliahan, Materi perkuliahan, Referensi, Pengenalan Peran Matematika, Statistik dalam Geologi
Fungsi Matematika:
- Definisi Fungsi Matematika dalam geologi
- Contoh kasus aplikasi matematika dalam geologi
Regresi linear dan kuadratik:
- Analisis regresi (best fit) linier dan kuadratik menggunakan metode leastsquare
- Solusi matriks:
- Solusi matriks menggunakan solusi analitik
Marcov chain:
- Penjelasan marcov chain
- Kegunaan marcov chain dalam geologi
Aplikasi statistic dalam geologi:
- Aplikasi univariate
- Aplikasi bivariate
- Aplikasi spasial statistik
Dapat menggunakan Spreadsheet dan fungsi statistiknya terutama untuk univariate statistik.
- Membedakan berbagai tipe data geologi : Data Nominal, Ordinal, Interval dan Rasio dan contoh-contoh data geologinya.
Populasi dan sampling straegi serta angka penting:
- Populasi vs Sample
- Bias
- Strategi sampling
- Presisi dan akurasi
Pengenalan Multivariate, Time Series dan Spatial Statistik:
- Multivariate
- Time Series
- Spasial Description
| - Introduction: Lecture rules, Lecture materials, References, Introduction to the Role of Mathematics, Statistics in Geology
Mathematical Functions:
- Definition of Mathematical Functions in geology
- Case examples of math applications in geology
Linear and quadratic regression:
- Linear and quadratic regression analysis (best fit) using the leastsquare method
- Matrix solution:
- Matrix solution using analytical solution
Marcov chain:
- Marcov chain explanation
- Uses of marcov chains in geology
Statistical applications in geology:
- Univariate application
- Bivariate application
- Spatial application of statistics
Can use Spreadsheet and its statistical functions especially for univariate statistics.
- Differentiate between different types of geological data: Nominal, Ordinal, Interval and Ratio data and examples of geological data.
Population and sampling strategies and significant figures:
- Population vs Sample
- Bias
- Sampling strategy
- Precision and accuracy
Introduction to Multivariate, Time Series and Spatial Statistics:
- Multivariate
- Time Series
- Spatial Description
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| Capaian Pembelajaran Mata Kuliah (CPMK) | - Dapat melakukan analisa data geologi dengan univariate, bivariat dan spasial statistik sederhana
- Dapat melakukan pemodelan dan prediksi proses geologi sederhana dengan beberapa persamaan matematika yang umum
| - Can analyze geological data with simple univariate, bivariate and spatial statistics
- Can perform modeling and prediction of simple geological processes with some common mathematical equations
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| Metode Pembelajaran | KBL :Knowledge Based Leaning
Problem based learning (PBL) | KBL :Knowledge Based Leaning
Problem based learning (PBL) |
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| Modalitas Pembelajaran | Luring
Daring
Sinkron
Asinkron | Offline
Online
Synchronous
Asynchronous |
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| Jenis Nilai | ABCDE |
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| Metode Penilaian | Pilihan
Uraian
Esai
Praktik | Options
Description
Essay
Practice |
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| Catatan Tambahan | | |
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