Kode Mata Kuliah | MS5041 / 4 SKS |
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Penyelenggara | 231 - Mechanical Engineering / FTMD |
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Kategori | Lecture |
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| Bahasa Indonesia | English |
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Nama Mata Kuliah | Optimasi Operasi | Operational Optimization |
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Bahan Kajian | - Perkenalan Analitika Data dan Optimasi Operasi
- Descriptive Analytics dan Visualisasi Data
- Dasar-Dasar Predictive Analytics
- Predictive Analytics
- Unsupervised Learning
- Pemodelan dan Metode Optimisasi
- Teknik Optimasi Klasik
- Pemograman Linear
- Pemograman Linear dengan Bilangan Bulat
- Perangkat Lunak untuk Penyelesaian Pemograman Linear
- Pemograman Non-Linear
- Teknik Optimasi Modern
| - Introduction to Data Analytics and Operations Optimization
- Descriptive Analytics and Data Visualization
- The Basics of Predictive Analysis
- Predictive Analytics
- Unsupervised Learning
- Modeling and Optimization Methods
- Classical Optimization Techniques
- Linear Programming
- Linear Programming with Integers
- Softwares for Solving Linear Programming
- Nonlinear Programming
- Modern Optimization Techniques
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Capaian Pembelajaran Mata Kuliah (CPMK) | - Mahasiswa mampu memahami definisi descriptive, predictive, dan prescriptive analytics
- Mahasiswa mampu melakukan analisis data secara deskriptif dan visual
- Mahasiswa mampu melakukan predictive analytics menggunakan metode regresi parametrik dan non-parametrik.
- Mahasiswa mampu melakukan analisis komponen principal dan clustering.
- Mahasiswa mampu memahami dan melakukan teknik optimasi operasi, utamanya berbasis pemograman linear dan non-linear.
- Mahasiswa mampu memahami dan melakukan teknik optimasi modern
| - Students are able to understand the definitions of descriptive, predictive and prescriptive analytics
- Students are able to carry out data analysis descriptively and visually
- Students are able to carry out predictive analytics using parametric and non-parametric regression methods.
- Students are able to carry out principal component analysis and clustering.
- Students are able to understand and carry out operations optimization techniques, mainly based on linear and non-linear programming.
- Students are able to understand and carry out modern optimization techniques
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Metode Pembelajaran | Kombinasi ceramah, diskusi kelompok, dan team-based project. | |
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Modalitas Pembelajaran | Luring, sinkron, dan belajar mandiri. | |
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Jenis Nilai | ABCDE |
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Metode Penilaian | Ujian Tengah Semester.
Ujian Akhir Semester.
Pekerjaan Rumah.
Quiz.
Tugas Besar. | |
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Catatan Tambahan | | |
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