ABW501 - KEUNGGULAN ANALITIK
(ANALYTICS EDGE)
[ 4 Unit ]
* Sumber data : SMUP
📖 Sinopsis Kursus / Course Synopsis ▼
Kursus ini menerangkan proses saintifik dalam mentransformasikan data kepada pandangan bagi membuat keputusan perniagaan berasaskan analitik dan membuat ramalan masa depan. Pelajar akan menggunakan alat analitik, algoritma dan metodologi untuk menyelesaikan masalah perniagaan, dan untuk membangunkan kaedah penyiasatan dan komputasi lanjutan. Alat analitik yang dipilih akan digunakan berdasarkan contoh perniagaan yang disimulasikan.
This course explains the scientific process of transforming data into insights for analytics-driven business decision making and for making future prediction. Students will apply analytical tools, algorithms and methodologies to solve business problems, and to explore advanced investigative and computational methods. Selected analytical tools will be used based on the simulated business examples.
* 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 | Analyze all the steps required in analytical project data. |
Kuliah | PLO1 | C4 |
| CLO2 | Build all skills and techniques, such as obtaining data, managing data, selecting modeling techniques, performing analysis and validating and presenting results. |
Kuliah dan lain F2F | PLO6 | P3 |
| CLO3 | Implement statistical and machine learning techniques useful in data analytics projects. |
Kuliah dan lain F2F | PLO10 | 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: DR. AISYAH BINTI ISMAIL
- Lecturer: DR. NG WEI CHIEN
- Lecturer: PROFESOR MADYA DR. TEH SIN YIN