| Capaian Pembelajaran Mata Kuliah (CPMK) | - Memahami prinsip dasar dan mampu melakukan exploratory data analysis untuk cek karakteristik data
- Memahami prinsip-prinsip penting perancangan eksperimen, mencakup ANOVA, Blocking, dan Factorial Design, dan penerapannya.
- Memahami prinsip dasar dan teknik-teknik dasar computer experiment
- Memahami prinsip machine learning: response surface methodologies dan metode regresi, serta mampu membuat model regresi berdasarkan data
- Memahami prinsip machine learning: response surface methodologies dan metode regresi, serta mampu membuat model regresi berdasarkan data
- Memahami dan dapat menggunakan konsep ruang linear dan transformasi linear pada ruang fungsi
- Memahami penggunaan persamaan differensial dalam dunia sains dan rekayasa.
- Memahami persamaan differensial biasa menggunakan pendekatan geometris/kualitatif.
- Memahami prinsip kerja dan dapat menggunakan method of characteristics untuk penyelesaian persamaan differensial parsial.
| - Understand basic principles and be able to carry out exploratory data analysis to examine data characteristics
- Understand the important principles of experimental design, including ANOVA, Blocking, and Factorial Design, and their applications.
- Understand the basic principles and basic techniques of computer experiments
- Understand machine learning principles: response surface methodologies and regression methods, and be able to create regression models based on data
- Understand machine learning principles: response surface methodologies and regression methods, and be able to create regression models based on data
- Understand and be able to use the concept of linear space and linear transformations in function spaces
- Understand the use of differential equations in the world of science and engineering.
- Understand ordinary differential equations using a geometric/qualitative approach.
- Understand working principles and be able to use the method of characteristics to solve partial differential equations.
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