CSE Teaching Labs
The Department Of Computer Science and Engineering is establishing Teaching Labs (upcoming) in below Verticals each with a seating capacity of 55
Seating Capacity: 55
The configuration of the systems of this lab are as below:
| Parameter | Specification |
|---|---|
| Processor | Intel i9-13900 (8+16 Cores) |
| RAM | 64GB DDR5 Non-ECC Memory |
| GPU | 8 GB NVidia GeForce RTX 3050 GDDR6 |
| Storage | 1 TB NVMe SSD |
| NIC | Dual RJ45 Gigabit Ethernet Cards |
| Audio | Internal Stereo Speakers |
| OS | Ubuntu 22.04 LTS |
| Monitor | LG 29" Ultra Wide Monitor |
The lab also has a high end Mac OS Server with below configuration:
| Parameter | Specification |
|---|---|
| OS | Mac OS |
| Processor | 2.5 Ghz Intel Xeon W |
| CPU | 28 cores |
| RAM | 192 GB DDR4 ECC |
| Graphics | 8 GB of Radeon Pro W5500X GDDR6 |
| Storage | 1 TB SSD |
| Display | Apple Studios Monitor |
The close up view of Mac OS Server
The complete view of Mac OS Server
The front view of Mac OS Server
Location of the Lab: DB2, II Floor
Seating Capacity: 55
This lab also has a high end NVidia DGX A-100 GPU Server with below configuration:
| Parameter | Specification |
|---|---|
| Performance | 156 TeraFlops Double Precision |
| AI Performance | 5 PetaFlops AI 10 Petaops INT8 |
| CPU | 128 cores |
| RAM | 1 TB |
| GPU | 8 x 40GB nodes |
| Storage | 15 TB SSD |
| Connectivity | NVidia NV Link Switches |
This server is currently located at DB2-Ground Floor Data Center
The front and rear views of Nvidia DGX Server
The close up view of Nvidia DGX Server
The complete view of NVidia DGX Server in Data Center
Proposed Courses in Teaching Labs
Each Lab is equipped with different types of systems fine tuned for teaching different types of courses.
- Data Structures and Algorithms
- Computer Networks
- Advanced Computer Networks
- Stochastic Network Optimization
- Software Engineering
- Cloud Computing
- Parallel Computing
- Parallel Numerical Linear Algebra
- Database Systems
- Distributed Systems
- Operating Systems
- Compiler Design
- Introduction to Programming
- Programming Methodology
- Performance Evaluation of Computer Systems
- Advanced Data Structures and Algorithms
- Industrial software Engineering
- Network Security
- Cyber Security
- Machine Learning
- Artificial Intelligence
- Deep Learning
- Reinforcement Learning
- Artificial Neural Networks
- Predictive Data Modelling
- Industrial Data Science and Engineering
- Data Science for Software Engineering
- Speech Processing
- Computer Graphics
- Computer Vision
- Natural Language Processing
- Computational Methods in Optimization