AAW316R - PEMBELAJARAN MESIN UNTUK APLIKASI PERNIAGAAN
(MACHINE LEARNING FOR BUSINESS APPLICATIONS)
[ 3 Unit ]
* Sumber data : SMUP
📖 Sinopsis Kursus / Course Synopsis ▼
Kursus ini menerangkan konsep teknik pembelajaran mesin. Pelajar akan belajar untuk mengenal pasti ciri-ciri set data perniagaan, menggunakan teknik pembelajaran mesin untuk menyelesaikan masalah perniagaan, membina model pembelajaran mesin dengan mengintegrasikan perpustakaan dan alat pembelajaran mesin, dan menilaikan prestasi model pembelajaran mesin. Bahasa pengaturcaraan Python dan teknik analisis statistik diperkenalkan berdasarkan kajian kes mengenai aplikasi perniagaan.
This course explains the concepts of machine learning techniques. Students will learn to identify the characteristics of business datasets, apply the machine learning techniques to solve business problems, construct machine learning models by integrating machine learning libraries and tools, and evaluate the performance of the machine learning models.
* Sumber data : SPBPK
📋 Hasil Pembelajaran Kursus / Course Learning Outcomes (HPK / CLO) ▼
| HPK / CLO | Penerangan HPK / CLO Description | Kaedah Pengajaran / Teaching Method | Pemetaan / Mapping: PLO USM |
Pemetaan / Mapping: LT |
|---|---|---|---|---|
| CLO1 | Differentiate machine learning techniques for business applications | Kuliah & Tutorial & Perbincangan | PLO6 | C4 |
| CLO2 | Demonstrate the characteristics of datasets and sources for machine learning in business environment. | Kuliah & Tutorial & Perbincangan | PLO2 | C3 |
| CLO3 | Practice machine learning models by integrating machine learning libraries and tools to solve particular business problem. | Kuliah & Tutorial & Perbincangan | PLO9 | A5 |
* Sumber data : SPBPK
📊 Penilaian / Assessment ▼
| Komponen Penilaian / Assessment Component | Peratusan / Percentage |
|---|---|
| Kerja Kursus / Course Work | 60% |
| Peperiksaan Akhir (PA) / Exam Work | 40% |
* Sumber data : SMUP
- Lecturer: PROFESOR MADYA TS. DR. KHAW KHAI WAH