Resources

Laboratories

The department has all types of modern teaching- learning resources in the department.

The department is equipped with state-of-the-art laboratories, providing students with the necessary resources for practical learning and specialized software tools.
The technical staff is appointed by the institute and allotted by the Head of the department considering their skill set, by issuing formal order letters.
Adequate technical manpower ensures smooth laboratory operations, technical support, and assistance to students and faculty for academic and research activities. The list of laboratories and technical manpower is mentioned in Table
As and when any facility is created at the department in the form of hardware or software, the support staff is given training and certification to ensure their scaling up. Refer image below

Name of Lab	Details
Networking and IoT Laboratory	The Network and IoT Laboratory is equipped with state-of-the-art infrastructure to support hands-on learning and research in networking and Internet of Things domains. The lab houses 21 high-performance Dell computer systems featuring Intel Core i7 processors, 16 GB RAM, 1 TB HDD, and 256 GB NVMe SSDs, all running on Windows 11 Pro, providing a robust platform for simulation, programming, and system configuration. Networking infrastructure includes two 24-port network switches (Extreme and TRENDnet), enabling practical exposure to LAN setup and network management. Additionally, the lab is supported by a VERTIV UPS with a 1 KVA capacity and 16 Exide SMF batteries to ensure uninterrupted power supply. For IoT development, the lab includes a comprehensive IoT kit comprising Raspberry Pi boards, various sensors, displays, and communication modules, facilitating prototype development and experimentation. The presence of a Samsung digital TV and a Hitachi LCD projector further aids in interactive teaching and demonstrations.
Database Engineering Laboratory	The Database Engineering Laboratory is well-furnished with computing and peripheral infrastructure to support practical learning and project development in the areas of database design, management, and application development. It features 21 Dell computer systems with Intel Core i7-9700 CPUs, 16 GB RAM, 1 TB HDD, and 250 GB NVMe SSDs, delivering a reliable and high-speed computing environment, all running on Windows 11 Pro. An additional Dell system is dedicated for CCTV monitoring, configured with an Intel i7-2600 CPU and 4 GB RAM. For network connectivity, the lab is equipped with a 24+4 port D-Link Gigabit Smart Managed Switch and a 4U D-Link network rack, ensuring stable and scalable networking. The lab also includes a 3 KVA Powergun Alfa Online UPS with 8 Exide SMF batteries to provide uninterrupted power supply. Visualization and presentations are supported by an Epson EB-W49 LCD projector. Printing needs are met through an HP LaserJet 1020 and an Epson All-in-One L565 printer, facilitating documentation and report generation. This comprehensive setup supports a robust environment for conducting database-centric coursework, research, and development activities.
Image Processing and Computer Vision Laboratory	The Image Processing and Computer Vision Laboratory is equipped with high-end hardware and specialized software to facilitate research and practical learning in digital image analysis, remote sensing, GIS, computer vision, and forensic computing. The lab houses 16 HP computer systems powered by Intel Core i7-13700 processors, 16 GB RAM, 1 TB HDD, and 256 GB NVMe SSDs, all running Windows 11 Pro with integrated Intel UHD graphics, offering a robust platform for high-resolution image processing and data-intensive tasks. A 28-port D-Link managed network switch ensures seamless data transfer and connectivity, while the VERTIV Powerbank 600 UPS with 16 Exide SMF batteries (12V, 120 AH) provides reliable power backup. The lab also includes an HP LaserJet M1005 MFP printer for documentation and an interactive smart board to enhance teaching and demonstrations. The lab is further enhanced with advanced software tools such as ERDAS Imagine Professional (5-user OEM licenses), IMAGINE Expansion Pack, and GeoMedia Professional for satellite image processing, geospatial analysis, and mapping applications. For forensic and cybersecurity applications, the lab includes Belkasoft Evidence Center X for digital evidence analysis, Passware Xit Forensic for password recovery and file decryption, and a vulnerability scanner tool for system security testing. Although currently inactive, EIGAP software (licensed for 50 users) is also part of the lab’s software inventory. This comprehensive setup makes the lab a vital center for academic exploration, industry-oriented training, and interdisciplinary research in image processing, GIS, computer vision, and digital forensics.
Programming Laboratory	The Programming Laboratory is designed to support foundational and advanced programming courses, catering to First Year (FY), Second Year (SY), and Third Year (TY) students. Spread across 91.94 sq. m. with a seating capacity for 20 students, the lab is equipped with 20 Dell computer systems powered by Intel Core i7-8700 CPUs @ 3.20GHz, 4 GB RAM, 1 TB HDD, and 256 GB NVMe SSDs, running Windows 11 Home. These systems provide a capable environment for learning and practicing programming across various languages and platforms. The lab has essential software tools installed, including MS Office 2013, C, C++, Java, Python, Jupyter, and Visual Studio, ensuring a comprehensive development and debugging environment. Additionally, a CodeZinger subscription for 475 users enhances coding practice through auto-evaluated programming challenges. The lab supports a utilization of 870 student-hours per semester across all academic wings, reflecting its critical role in curriculum delivery. The Programming Lab stands as a core facility for nurturing programming skills and software development competencies.
Advanced Software Engineering Lab	The Advanced Software Engineering Laboratory is a high-capacity, well-equipped facility designed to support project-based learning and development in software engineering and enterprise applications. Spanning an area of 81.94 sq. m. with a seating capacity for 50 students, the lab is equipped with 50 Dell computer systems powered by Intel Core i7-8700 CPUs @ 3.20GHz, 4 GB RAM, 1 TB HDD, and 256 GB NVMe SSDs, all running on Windows 11 Home. The lab supports comprehensive software development environments with essential tools such as MS Office 2013, Oracle, SQL Developer, GitHub, Jira, and Microsoft 365 A3 subscription, enabling students to engage in end-to-end software project lifecycle activities. Visual and instructional support is provided via an Epson EB-945H LCD projector, while lab security is maintained with CCTV surveillance. A robust network infrastructure is established through six high-performance switches including models from TRENDnet, Netgear, and Extreme Networks. Continuous power backup is ensured by a 20 KVA Emerson GXT MT Online UPS supported by 20 Turbon SMF batteries (12V, 180 AH). Additionally, an Ahuja SSB-80M amplifier supports communication needs during sessions. The lab supports FY, SY, and TY students, with a utilization rate of 600 student-hours per semester. This lab plays a pivotal role in delivering advanced software engineering education through practical and collaborative learning.
Artificial Intelligence and Machine Learning Laboratory	The Artificial Intelligence and Machine Learning Laboratory is a dedicated facility designed to support AI/ML-centric education, research, and development activities. The lab features a heterogeneous set of 22 computer systems from HP and Dell, equipped with a range of processors including Intel Core i5-6550, i5-3470, i7-4700, i7-2600, and powerful Intel Xeon E3-1220 CPUs. These systems are configured with RAM capacities ranging from 4 GB to 16 GB and 1 TB HDD storage, offering a flexible environment suitable for running AI algorithms, machine learning models, and data processing tasks. The lab also includes a ViewSonic LCD projector (Model RLC 129) to facilitate interactive teaching and presentations. For effective communication during lab sessions or workshops, a 240W amplifier with mixer, Bluetooth, and USB support is available. This setup provides students with essential computational resources and instructional tools for exploring real-world AI and machine learning applications, ranging from predictive analytics to neural networks and data visualization.
Innovation and Project Laboratory	The Innovation and Project Laboratory is a cutting-edge facility designed to nurture creativity, research, and interdisciplinary project development in fields such as robotics, drones, embedded systems, AI, and aeromodelling. The lab provides a rich ecosystem of prototyping tools and devices to support student innovations. Core resources include 3 standards and 3 carbon fiber hexacopter drone frames, 6 Pixhawk flight controllers, 6 FS-i6X (and above) RC controllers, 30 ESC 30A units, 30 propellers (10×5), 30 brushless motors, and 2 high-speed 2200KV motors. Power requirements are addressed with 6 LiPo batteries (2500 mAh), 6 LiPo batteries (1000 mAh), and a fast battery charger. Additionally, a DJI Tello drone with an extra battery, a telemetry kit, landing gear, and soldering tools are available to streamline the development and testing process. For robotic and autonomous systems, the lab features a Dobot Magician Robotic Arm, Turtle Bot, and Jetson Nano Developer Kit, enabling students to build and test intelligent automation solutions. Advanced perception and navigation capabilities are supported by Intel RealSense Depth Cameras (3 units), YD Lidar G2, RP Lidar A3, and a RTK Module (Receiver and Transmitter) for high-accuracy positioning. Moreover, a Snapmaker 3-in-1 CNC machine is available for multifunctional prototyping, combining 3D printing, laser engraving, and CNC carving. The lab also supports aeromodelling with 2 RC plane frames and 24 servo motors. This extensive infrastructure encourages experiential learning and supports capstone projects, robotics competitions, and applied research across multiple domains, making the Innovation and Project Lab a hub of technological exploration and invention.
PG Research Laboratory	The Postgraduate (PG) Research Laboratory is a high-performance computing and research facility established to support advanced postgraduate studies, simulations, and innovation-driven research across domains such as data science, AI, cybersecurity, and high-end graphics computing. The lab houses 10 powerful HP computer systems, each equipped with Intel Core i7-13700 processors @ 2.10GHz, 16 GB RAM, 1 TB HDD, 500 GB NVMe SSD, and NVIDIA GeForce RTX 3060 graphics, providing the required computing power for deep learning, visualization, and parallel processing tasks. These systems run on Windows 11 Pro, offering a modern and secure operating environment. For seamless networking and high-speed data transfer, the lab is supported by enterprise-grade switches including the Extreme X440 G2 24t-10GE4 and Extreme 5320-24T-8XE, ensuring reliable and scalable connectivity. An Epson EB-X14 LCD projector enhances presentations and research discussions, while an Epson L565 All-in-One printer supports documentation and report generation needs. Power continuity is ensured by a 6KVA Vertiv UPS supported by 16 SMF batteries, minimizing interruptions during critical research work. This advanced infrastructure makes the PG Research Lab a dynamic hub for scholarly research, technical innovation, and collaborative academic exploration at the postgraduate level.
PG Computing Laboratory	The Postgraduate (PG) Computing Laboratory is a dedicated facility aimed at supporting advanced coursework, research, and development activities in computing-intensive domains. The lab is equipped with a total of 10 HP computer systems featuring the latest Intel Core i7-13700 processors @ 2.10GHz, 16 GB RAM, 1 TB HDD, and 500 GB NVMe SSDs, ensuring high-speed performance and responsiveness. Of these, 6 systems are equipped with NVIDIA GeForce RTX 3060 graphics cards, ideal for tasks involving deep learning, data visualization, simulations, and parallel computing, while the remaining 4 systems come with Intel UHD Graphics, suitable for general-purpose computing and programming. All systems operate on Windows 11 Pro, providing a secure and modern computing environment. With its high-performance infrastructure, the PG Computing Lab facilitates academic research, project implementation, and exploration of advanced computing technologies for postgraduate students and scholars.

Centres

The department has various centres, such as the Centre for Artificial Intelligence and Machine Learning, and the Centre for Cybersecurity.

Cyber security server:

- Cybersecurity is vital for computer science engineering as it ensures the protection of data, systems, and networks from malicious attacks.
- With increasing digitalization, safeguarding sensitive information and maintaining system integrity are critical. This server is set up with the aim of developing a center of excellence (CoE) in Cyber Security.
- The server offers functionality such as: password recovery, hard disk recovery, vulnerability scanning

Table :Hardware / equipment related to Cyber Security Server

Sr. No.	Particulars
1	High-End Forensic Workstation (with Service) (Hardware)
2	All in One Portable Write Blocker (CRU or WiebeTech) (Hardware)
3	Portable Hardware Toolbox ltem (Hardware)
4	Digital Forensic Software – Belkasoft Evidence Center X (Software)
5	Password Recovery/File Decryption -PasswareXit Forensic (Software)
6	Vulnerability Scanner Tool (Software)
7	lnstallation, Commissioning and Training ltem: Service License Type I One Time & Additional online Refresher Training: 3 times

Computers and Equipment

The department has a large number of computers and equipment, including servers, routers, and software tools.

List of Hardware Related Facilities:

Sr.No.	Name of Hardware/ Servers	Name of Components	Description of Facilities
1	Deep Learning Server	ELSPL/RI/NVIDIA/ CEE/TEGRER-LI/Flutech Learning	A robust deep learning server is set up to support students’ and faculty’s research projects in advanced fields like Artificial Intelligence (AI), Machine Learning (ML), and Data Science (DS). This server, equipped with high-performance GPUs and ample storage capacity, allows for the execution of complex computational tasks, simulations, and data-intensive experiments.
2	IoT related hardware	1.Raspberry Pi 4 4gb 2.Arduino Uno R3 Board 3.Pi Expansion Board with XBEE connections 4.Infrared distance meter	The Internet of Things (IoT) is a significant technology in computer science engineering because it allows for seamless communication between physical objects and digital systems. This is also required for many of the cutting edge application domains like smart agriculture, smart manufacturing etc.
3	AR – VR related hardware	1. VIVE Pro Virtual Reality System Display: Dual AMOLED 3.5″ diagonal1440 x 1600 pixels per eye2880 x 1600 pixels combined90 Hz refresh rate110-degree field of view . 2. Oculus Quest 2 Virtual Reality Headset Processor: Qualcomm Snapdragon XR2 Internal Storage: 256 GBIPD Distance: 2.3 to 2.7″/58 to 68 mm Audio Input: None Audio Output: 1 x 1/8″/3.5 mm	In the aim of building a center of excellence in immersive technologies like metaverse, the department has invested in the hardware related to AR and VR.
4	Drone technology related hardware	1.DJI Tello Drone Extra Battery (Quad) 2.Flight Controller Pixhawk (Only) 3.Telemetry Kit 4.RC Plane Frame	Drone technology in computer science engineering is essential for developing advanced algorithms for autonomous navigation, data processing, and real-time decision-making. Envisioning developments in drone technology, the department has invested in hardware related to drone
5	Robotics related hardware	1. Snapmaker 3 in 1 CNC machine 2. Jetson Nano – Module and Developers Kit 3. Dobot Magician Robotic Arm 4. Turtle Bot	Robotics technologies in computer science engineering are essential for developing intelligent systems that can interact with the physical world. Considering this need, the department has invested in robotics related hardware and software.

Softwares

The department has a range of software tools, including programming languages, databases, and operating systems, CodeZinger, GIS and Remote Sensing Package, and name a few

Licensed copies / subscription to software

The institution has procured a wide range of licensed software packages to support both teaching and research activities in various disciplines.
These tools are available in all laboratories, providing students and faculty with legal, uninterrupted access to industry-standard software required for their academic and research work.

Sr No	Description as per Standard Specifications from tender	Quantity
1	Education Bundle- GIS and Remote sensing Package ERDAS Imagine Professional (5 user OEM software licenses)	One set with 5 user OEM software licenses
	ERDAS Professional (includes Easytrace, Vector, Enterprise Loader, Image Equalizer, ER Mapper and Radar Interpreter)
	IMAGINE Expansion Pack (includes Autosinc, VirtualGIS, DeltaCue, ortho Radar, NITF, StereoSAR DEM and Stereo Analyst for IMAGINE)
	GeoMedia Professional (includes Grid, Fusion, Transaction Manager, Public Works Manager AND Parcel Manager)
	The software delivered will be perpetual in nature (Life time)
	One year warranty/support from the date of invoice

Table: List of software package under GIS

Special Resources: The department has special resources such as:

S.N.	Name of the Laboratory
1.	Mac Lab Center of Excellence Seating capacity: 30
2.	Dell – Intel sponsored ‘AI for Youth’ lab Seating capacity:
3.	Collaborations and Partnerships: A) IIT Bombay vLabs

Photos of the Special Resources:

Table: List of certified faculty members in iOS App development

S. NO.	Name of the faculty	Date of certification
1	Ms. Aprupa. S. Pawar	27^th June 2023
2	Mrs. Swapnali. A. Aitwade	27^th June 2023
3	Ms. Nandinee. L. Mudegol	28^th July 2024
4	Mr. Siddharaj. D. Pujari	1^st July 2024

CDAC

Walchand college of Engineering (WCE), Sangli and CDAC have teamed up to launch a Nodal Centre under National Supercomputing Mission (NSM) dedicated to advancing High Performance Computing (HPC) and Artificial Intelligence (AI).
Under this facility, a supercomputing facility at CDAC (PARAM) would be made available for students to execute their projects. This is work under progress.