Graduate Student Workspace A dedicated workspace for graduate students, equipped with 9 computers (GPU specification) and supporting facilities for research and independent study.
Classroom
A classroom with a capacity of up to 30 students, equipped with various software, including:
SAP S/4HANA (300 licenses)
SPSS (10 licenses)
AMOS (1 license)
Python (open-source)
Super Decisions software (open-source)
R software
Gurobi (open-source for academic)
High-Performance Computing (HPC) with specifications: dual processors (2 × EMR 4510, 2P, 12 cores, 2.4 GHz, 30 MB cache, 150W, SGX64 [1×DSA]), memory of 4 × 32 GB DDR5-4800 2Rx8 LP ECC Registered DIMM (RoHS compliant), and 2 × NVIDIA Ada L40S 48 GB GDDR6 GPUs (PCIe Gen 4). The system is also equipped with several Python-based kernels that can be utilized for data science, machine learning, deep learning, and other applications relevant to the field of study.
