Kurikulum 2024

Kode Mata KuliahMS5041 / 4 SKS
Penyelenggara231 - Teknik Mesin / FTMD
KategoriKuliah
Bahasa IndonesiaEnglish
Nama Mata KuliahAnalitika Data dan Optimasi OperasiData Analytics and Operational Optimization
Bahan Kajian
  1. Perkenalan Analitika Data dan Optimasi Operasi
  2. Descriptive Analytics dan Visualisasi Data
  3. Dasar-Dasar Predictive Analytics
  4. Predictive Analytics
  5. Unsupervised Learning
  6. Pemodelan dan Metode Optimisasi
  7. Teknik Optimasi Klasik
  8. Pemograman Linear
  9. Pemograman Linear dengan Bilangan Bulat
  10. Perangkat Lunak untuk Penyelesaian Pemograman Linear
  11. Pemograman Non-Linear
  12. Teknik Optimasi Modern
  1. Introduction to Data Analytics and Operations Optimization
  2. Descriptive Analytics and Data Visualization
  3. The Basics of Predictive Analysis
  4. Predictive Analytics
  5. Unsupervised Learning
  6. Modeling and Optimization Methods
  7. Classical Optimization Techniques
  8. Linear Programming
  9. Linear Programming with Integers
  10. Softwares for Solving Linear Programming
  11. Nonlinear Programming
  12. Modern Optimization Techniques
Capaian Pembelajaran Mata Kuliah (CPMK)
  1. Mahasiswa mampu memahami definisi descriptive, predictive, dan prescriptive analytics
  2. Mahasiswa mampu melakukan analisis data secara deskriptif dan visual
  3. Mahasiswa mampu melakukan predictive analytics menggunakan metode regresi parametrik dan non-parametrik.
  4. Mahasiswa mampu melakukan analisis komponen principal dan clustering.
  5. Mahasiswa mampu memahami dan melakukan teknik optimasi operasi, utamanya berbasis pemograman linear dan non-linear.
  6. Mahasiswa mampu memahami dan melakukan teknik optimasi modern
  1. Students are able to understand the definitions of descriptive, predictive and prescriptive analytics
  2. Students are able to carry out data analysis descriptively and visually
  3. Students are able to carry out predictive analytics using parametric and non-parametric regression methods.
  4. Students are able to carry out principal component analysis and clustering.
  5. Students are able to understand and carry out operations optimization techniques, mainly based on linear and non-linear programming.
  6. Students are able to understand and carry out modern optimization techniques
Metode PembelajaranKombinasi ceramah, diskusi kelompok, dan team-based project.
Modalitas PembelajaranLuring, sinkron, dan belajar mandiri.
Jenis NilaiABCDE
Metode PenilaianUjian Tengah Semester. Ujian Akhir Semester. Pekerjaan Rumah. Quiz. Tugas Besar.
Catatan Tambahan