| Kode Mata Kuliah | GD2101 / 3 SKS |
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| Penyelenggara | 151 - Teknik Geodesi dan Geomatika / FITB |
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| Kategori | Kuliah |
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| Bahasa Indonesia | English |
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| Nama Mata Kuliah | Statistika dan Probabilistik | Statistics and Probabilistics |
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| Bahan Kajian | - Ukuran probabilitas dan fungsi densitas
- Ekspektasi matematis dan variansi
- Kovariansi dan korelasi
- Probabilitas bersyarat dan hukum Bayes
- Estimasi kuadrat rata-rata minimum
- Distribusi normal, chi-squared, t dan F
- Distribusi normal, chi-squared, t dan F
- Variabel acak, rata-rata, variansi, dan standar deviasi
- Estimasi rata-rata, variansi, dan kovariansi
- Pengujuan statistik dan interval kepercayaan
| - Probability measures and density functions
- Mathematical expectation and variance
- Covariance and correlation
- Conditional probability and Bayes' law
- Minimum mean square estimation
- Normal, chi-squared, t and F distributions
- Normal, chi-squared, t and F distributions
- Random variables, mean, variance and standard deviation
- Estimation of mean, variance and covariance
- Statistical testing and confidence intervals
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| Capaian Pembelajaran Mata Kuliah (CPMK) | - Mampu menjelaskan konsep ukuran probabilitas dan fungsi densitas
- Mampu menjelaskan konsep ekspektasi matematis dan variansi
- Mampu menjelaskan konsep kovariansi dan korelasi
- Mampu menjelaskan konsep probalitas bersyarat dan hukum Bayes
- Mampu menjelaskan konsep estimasi kuadrat rata-rata minimum
- Mampu menjelaskan konsep distribusi normal, chi-squared, t dan F
- Mampu menjelaskan konsep variabel acak, rata-rata, variansi, dan standar deviasi
- Mampu menjelaskan konsep estimasi rata-rata, variansi, dan kovariansi
- Mampu menjelaskan konsep Pengujuan statistik dan interval kepercayaan
| - Able to explain the concept of probability measure and density function
- Able to explain the concept of mathematical expectation and variance
- Able to explain the concepts of covariance and correlation
- Able to explain the concept of conditional probability and Bayes law
- Able to explain the concept of minimum mean square estimation
- Able to explain the concept of normal, chi-squared, t and F distribution
- Able to explain the concepts of random variables, mean, variance, and standard deviation
- Able to explain the concepts of mean, variance, and covariance estimation
- Able to explain the concept of statistical testing and confidence intervals
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| Metode Pembelajaran | PBL, CBL, PjBL | PBL, CBL, PjBL |
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| Modalitas Pembelajaran | Luring, Sinkron, Asinkron | Offline, Synchronous, Asynchronous |
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| Jenis Nilai | ABCDE |
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| Metode Penilaian | Tertulis: Pilihan, Uraian, Esai
Lisan: Presentasi
Tugas: Laporan | Written: Optional, Description, Essay
Oral: Presentation
Assignment: Report |
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| Catatan Tambahan | | |
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