| Kode Mata Kuliah | TM4034 / 3 SKS |
|---|
| Penyelenggara | 122 - Petroleum Engineering / FTTM |
|---|
| Kategori | Lecture |
|---|
| Bahasa Indonesia | English |
|---|
| Nama Mata Kuliah | Intelegensia Artifisial Perminyakan | Artificial Intelligence in Petroleum Industry |
|---|
| Bahan Kajian | - Overview Masalah yang bisa diselesaikan dengan Metode Artifisial Intelegensia
- Metode Pemilihan dan Penentuan Kualitas Data
- Metode Supervised Learning
- Metode Unsupervised Learning
- Studi Kasus Pengolahan dan Penyusunan Metode Machine Learning
| - Overview of problems that can be solved using artificial intelligence methods
- Selection Methods and Determining Data Quality
- Supervised Learning Method
- Unsupervised Learning Method
- Case Study of Processing and Preparation of Machine Learning Methods
|
|---|
| Capaian Pembelajaran Mata Kuliah (CPMK) | - Mampu mengidentifikasi masalah dan memberikan Solusi yang dapat dipercepat dengan adanya metode intelegensia artifisial perminyakan
- Melakukan komunikasi dan kerjasama tim multidisiplin yang efektif dengan tetap dalam kaidah etika dan profesional
- Mengembangkan, menganalisis dan menafsirkan data keteknikan geologi, reservoir dan produksi serta memilih data yang dapat digunakan untuk implementasi intelegensia artifisial perminyakan
| - Able to identify problems and provide solutions that can be accelerated with the existence of petroleum artificial intelligence methods
- Carry out effective multidisciplinary team communication and collaboration while remaining within ethical and professional principles
- Develop, analyze and interpret geological, reservoir and production engineering data and select data that can be used for the implementation of petroleum artificial intelligence
|
|---|
| Metode Pembelajaran | Studi kasus, Simulasi, Pembelajaran Kolaboratif, Pembelajaran berbasis proyek | Case studies, Simulations, Collaborative Learning, Project based learning |
|---|
| Modalitas Pembelajaran | Bauran daring dan luring, sinkron dan asinkron, mandiri dan kelompok | Mix of online and offline, synchronous and asynchronous, independent and group |
|---|
| Jenis Nilai | ABCDE |
|---|
| Metode Penilaian | Kuis, Tugas, Proyek, UTS, UAS | Quiz, Assignments, Projects, Midterm Exams, Final Exams |
|---|
| Catatan Tambahan | | |
|---|