Kode Mata KuliahGL2101 / 2 SKS
Penyelenggara120 - Teknik Geologi / FITB
KategoriKuliah
Bahasa IndonesiaEnglish
Nama Mata KuliahMatematika dan Statistik untuk GeologiMathematics and Statistics to Geology
Bahan Kajian
  1. 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
  2. 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.
  3. 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
  1. 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
  2. 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.
  3. 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
Capaian Pembelajaran Mata Kuliah (CPMK)
  1. Dapat melakukan analisa data geologi dengan univariate, bivariat dan spasial statistik sederhana
  2. Dapat melakukan pemodelan dan prediksi proses geologi sederhana dengan beberapa persamaan matematika yang umum
  1. Can analyze geological data with simple univariate, bivariate and spatial statistics
  2. Can perform modeling and prediction of simple geological processes with some common mathematical equations
Metode PembelajaranKBL :Knowledge Based Leaning Problem based learning (PBL)KBL :Knowledge Based Leaning Problem based learning (PBL)
Modalitas PembelajaranLuring Daring Sinkron AsinkronOffline Online Synchronous Asynchronous
Jenis NilaiABCDE
Metode PenilaianPilihan Uraian Esai PraktikOptions Description Essay Practice
Catatan Tambahan