| Kode Mata Kuliah | FI3202 / 3 SKS |
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| Penyelenggara | 102 - Physics / FMIPA |
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| Kategori | Lecture |
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| Bahasa Indonesia | English |
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| Nama Mata Kuliah | Fisika Statistik | Statistical Physics |
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| Bahan Kajian | - Ensemble mikrokanonik
- Postulat fundamental Fisika Statistik
- Distribusi Maxwell-Boltzmann dan fungsi partisi
- Aplikasi Statistik Maxwell-Boltzmann
- Pengenalan ke statistik kuantum
- Distribusi Fermi-Dirac
- Aplikasi Statistik Fermi-Dirac
- Distribusi Bose-Einstein
- Aplikasi StatistikBose-Einstein
- Ensemble kanonik: sifat termodinamik, fungsi partisi
| - Microcanonical ensemble
- Fundamental postulates of Statistical Physics
- Maxwell-Boltzmann distribution and partition function
- Applications of Maxwell-Boltzmann Statistics
- Introduction to quantum statistics
- Fermi-Dirac distribution
- Applications of Fermi-Dirac Statistics
- Bose-Einstein distribution
- Bose-Einstein Statistics Applications
- Canonical ensembles: thermodynamic properties, partition functions
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| Capaian Pembelajaran Mata Kuliah (CPMK) | - Mampu memahami dasar-dasar fisika statistic
- Mampu memformulasikan masalah sederhana pada bidang fisika dan bidang-bidang lain yang menggunakan fisika statistik
- Mampu menerapkannya dalam masalah sederhana pada bidang fisika dan bidang-bidang lain yang menggunakan fisika statistic
- Mampu memahami kuliah lanjut tentang sifat-sifat zat maupun kuliah lain yang menggunakan fisika statistic
| - Mampu memahami dasar-dasar fisika statistic
- Able to formulate simple problems in the field of physics and other fields that use statistical physics
- Able to apply it to simple problems in physics and other fields that use statistical physics
- Able to understand advanced lectures on the properties of substances and other lectures that use statistical physics
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| Metode Pembelajaran | Kuliah tatap muka, Kegiatan mandiri, Diskusi dan Collaborative learning, Research based learning | Face-to-face lectures, independent activities, discussions and collaborative learning, research based learning |
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| Modalitas Pembelajaran | Luring sinkron, Bauran/daring asinkron, Penugasan terstruktur, Belajar mandiri | Synchronous offline, Asynchronous mixed/online, Structured assignments, Independent learning |
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| Jenis Nilai | ABCDE |
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| Metode Penilaian | Ujian tengah semester (Ujian Tengah Semester), Ujian akhir semester (Ujian Akhir Semester), Kuis, Tugas | Midterm exam (Midterm Exam), Final exam (Final Semester Exam), Quizzes, Assignments |
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| Catatan Tambahan | MKWP | |
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