LABORATORIES

Seminar Hall

placeholder

Area:

143 sq. mt.

Seating Capacity:


124

Facilities:

  • Fully equipped with state-of-the-art audio systems and a dual projector setup. Shared by both UG and PG programmes.

UG Laboratory 1A

placeholder

Area:

77 sq. mt.

Capacity:


24

Description:


Desktops: Acer Veriton – 24 Nos – Intel Core i5, 8GB RAM, 1TB HDD

Microprocessor components: All-in-one boards – 18 Nos, CROs – 6 Nos, Microcontroller kits – 10 Nos, ARM controller kits – 6 Nos, IoT kits – 15 Nos

UPS: 1 shared, 10KVA Online

UG Laboratory 1B

placeholder

Area:

77 sq. mt.

Capacity:


24

Description:

Desktops:


Dell Optiplex SFF (Plus 1010) – Intel Core i7, 16GB DDR3, 1TB M.2 2230 SSD, 20” LCD – 1 No
Lenovo Core i5-7500 – 8GB DDR4 RAM, 1TB HDD, 21.5” LED Monitor

HP 280 G6 – Intel Core i5, 8GB RAM, 512GB SSD, 19.5” TFT Monitor



HP ProDesk 400 G6 – Intel Core i7, 16GB RAM, 512GB SSD, 19.5” TFT Monitor


Projector: 1 No.

UPS: 1 shared, 10KVA Online

UG Laboratory 2A

placeholder

Area:

77 sq. mt.

Capacity:


24

Description:

Desktops:


Dell Optiplex SFF (Plus 1010) – Intel Core i7, 16GB DDR3, 1TB M.2 2230 SSD, 20” LCD – 1 No


HP 280 G3 MT – Intel Core i5 3.40GHz, 8GB DDR4 RAM, 1TB HDD, 18.5” LED Monitor


Projector: 1 No.

UPS: 1 shared, 10KVA Online

UG Laboratory 2B

placeholder

Area:

77 sq. mt.

Capacity:


24

Description:

Desktops:


HP 280 – 18 Nos – Intel Core i5-7500, 8GB DDR4 RAM, 1TB HDD


HP 280 G3 MT – Intel Core i5 3.40GHz, 8GB DDR4 RAM, 1TB HDD, 18.5” LED Monitor


UPS: 1 shared, 10KVA Online

PG Laboratory 3A

placeholder

Area:

71 sq. mt.

Capacity:


18

Description:

Desktops:


HP ProDesk G6 – 2 Nos – Intel Core i7


Lenovo Core i5-7500 – 1 No – 8GB DDR4 RAM, 1TB HDD, 21.5” LED Monitor


Interactive board: 1 No.

UPS: 1 shared, 10KVA Online

PG Laboratory 3B

placeholder

Area:

71 sq. mt.

Capacity:


18

Description:

Desktops:


HP 280 G3 MT – 2 Nos – Intel Core i3


HP ProDesk G6 – 1 No – Intel Core i7


Projector: Casio – 1 No.

Laboratory 4A

placeholder

Area:

71 sq. mt.

Capacity:


20

Description:

Desktops:
Acer – 7 Nos – Intel Core i5, 8GB RAM, 1TB HDD
HP – 6 Nos – Intel Core i5-7500, 8GB DDR4 RAM, 1TB HDD Dell – 5 Nos – Intel Core i7, 16GB DDR3 RAM, 1TB SSD

Laboratory 4B

placeholder

Area:

71 sq. mt.

Capacity:


20

Description:

Desktops:


Desktops: Lenovo ThinkCentre Neo 50T Gen 3 – 20 Nos – Intel Core i7, 16GB RAM, 512GB SSD, 19.5” LCD

Visual Computing Lab

placeholder

To support high-performance computing needs, the department has dedicated workstations designed for resource-intensive applications such as machine learning, deep learning, data analytics, computer vision and simulation-based research. These workstations are equipped with high-speed processors, dedicated GPUs, expanded RAM and SSD storage, ensuring optimal performance for computationally demanding tasks.

The availability of these high-end systems enables students and researchers to work on complex projects that require significant processing power. These workstations are strategically placed in the Visual Computing Lab to support sponsored research initiatives. Regular upgrades and maintenance ensure that the infrastructure remains aligned with emerging technological advancements.

Details of Workstations

Sl. No. Workstation Specifications Processor RAM HDD
1 HP Workstation -1 Core i7 32 GB 500 GB
2 HP Workstation -2 Core i9 64 GB 1 TB
3 HP Workstation -3 Core i9 64 GB 2 TB

IoT Lab Facilities

placeholder

The department has a dedicated Internet of Things (IoT) Lab to support hands-on learning, prototyping and research in IoT applications. The lab is equipped with Raspberry Pi kits, Arduino boards, sensors, actuators and other IoT development tools, enabling students and researchers to design, implement and test IoT-based solutions.

These resources facilitate practical experimentation in areas such as smart systems, automation, embedded computing and wireless sensor networks. The lab provides an ideal environment for students to develop real-world IoT applications, fostering innovation and interdisciplinary research. Regular updates and additions to the lab ensure that students have access to the latest technologies in the IoT domain.

Details of Hardware

Sl. No.

Equipment Name

Quantity

1

Raspberry Pi 4

05

2

Raspberry Pi 4

05

3

Arduino Mega 2560 R3 (05 no’s)

05

4

Arm 7 LPC2148 Microcontroller Kit

06

5

Arduino Mega 2560 R3

05

6

Arduino Yun Board

01

7

Raspberry Pi 3 Board

06

8

Raspberry Pi Camera Module

01

9

Raspberry Pi 3 Model B

05

10

Raspberry Pi Kits (Model 2B)

07

11

IoT Kit and Accessories

35

 

Department of Information Science and Engineering