Teaching Labs
The Department Of Computer Science and Engineering is establishing Teaching Labs (upcoming) in Three Verticals each with a seating capacity of 60
Hardware Lab
This is a hardware driven lab primarily comprising of
- Low end computing devices
- Boards
- Embedded Devices
- Kits
- Software Tools, etc.
Networks & Systems Lab
The characteristics of this lab is as follows:
- Simple front-end computers
- Single board computers
- Router Boards
- USRP Boards
- Switches
- Stand-alone cloud setup
- Isolated Network setup, etc.
Data Science & Analytics Lab
This is a lab having high-end GPU enabled computers primarily used for running Machine Learning and Analytical jobs
Proposed Courses in Teaching Labs
Each Lab is equipped with different types of systems fine tuned for teaching different types of courses.
Hardware Lab
- Digital Systems
- Computer Organization
- Computer System Design
- Computer System Architecture
- Processor Design
- System-on-Chip Design
- Hardware-software Co-design
- Hardware Accelerator Design
- Embedded System Design
- Internet of Things
- GPU Computing
- VLSI Design and Verification
Networks & Systems Lab
- 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
Data Science & Analytics Lab
- 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