GCN510 - PENGKOMPUTERAAN NEUROSAINS DAN NEUROINFORMATIK
(COMPUTATIONAL NEUROSCIENCES AND NEUROINFORMATICS)
[ 4 Unit ]
*** Sumber data : SMUP
📖 Sinopsis Kursus / Course Synopsis ▼
Kursus ini memperkenalkan kaedah asas pengkomputeran untuk memahami sistem saraf dan fungsinya, termasuk penglihatan, kawalan motor-deria, pembelajaran dan memori. Topik merangkumi perwakilan maklumat neuron, pemprosesan rangkaian saraf, serta algoritma penyesuaian dan pembelajaran. MATLAB digunakan untuk demonstrasi dan latihan.
This course introduces basic computational methods for understanding the nervous system and its functions, including vision, sensorimotor control, learning, and memory. Topics include neural information representation, neural network information processing, and adaptation and learning algorithms. MATLAB is used for demonstrations and practical exercises.
*** 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 the brain principle and neural network system | Kuliah | PLO1 | C4 |
| CLO2 | Construct computational brain neural system for decision making | Kuliah dan lain F2F | PLO3 | P5 |
| CLO3 | Evaluate neural modelling methods using relevant information with appropriate signal processing toolbox | Kuliah dan lain F2F | PLO2 | C5 |
*** 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. NOR SAFIRA ELAINA BINTI MOHD NOOR