Program Details

Computer Department

Computer Engineering Department Brochure


To provide value-based technology education in Computer Engineering.


To bring out graduates who can solve challenges of industry and society by applying computing techniques.

To develop partnership with industries, government agencies and Research and Development organizations for knowledge and resource sharing.

To encourage faculties and students to participate in reputed conferences, workshops, seminars and other such technical activities.

To motivate students/graduates to be entrepreneurs.

To impart human and ethical values among students in the service of society.

Programme Educational Objectives (PEOs)

PEO-1: Solve real life problems related to Computing.

PEO-2: Develop computing solutions to the business and societal needs.

PEO-3: Pursue higher studies, carry out R&D, imbibe high degree of professionalism or become entrepreneur.

PEO-4: Embrace life-long learning.

PEO-5: Work and excel in a highly competitive and multicultural environment by abiding legal and ethical responsibilities.

Programme Specific Outcomes (PSOs)

Engineering Graduates will be able to:

PSO-1: Apply the fundamental knowledge of computer engineering to develop computer programs / computer-based systems in the areas of algorithms, networking, web design, cloud computing, IoT and data analytics of varying complexity.

PSO-2: Apply the core concepts of information assurance and security, system architecture, system administration, maintenance and integration, to handle real-time software projects.

PSO-3: Opt for start-ups by practicing the technical skill and ethical values cultivated.

Program outcomes (POs)

Graduates will be able to:

1. Engineering knowledge: Apply the knowledge of mathematics, science, mechanical engineering fundamentals, and specialization to the solution of complex engineering problems.

2. Problem analysis: Identify, formulate, review research literature, and analyze complex mechanical engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and mechanical engineering.

3. Design/development of solutions: Design solutions for complex mechanical engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

4. Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

5. Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex mechanical engineering activities with an understanding of the limitations.

6. The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

7. Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

10. Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

11. Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

12. Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.



GUJCOST has setup a Supercomputer facility – PARAM Shavak, at Computer Engineering Department of Government Engineering College-Rajkot in December 2017. To contribute to the research and development of India, C-DAC has developed a low cost and an energy efficient solution, which is as good as a supercomputer in a box namely – PARAM Shavak DL (Deep Learning) GPU. PARAM Shavak DL GPU, has been equipped with advanced technologies to perform the high-end computations for the scientific, engineering and academic community.

PARAM Shavak will be able to address and catalyze the research using artificial intelligence (AI), Deep Learning and promises to be a boon to the academic and scientific community. Additionally, it will help in creating a workforce that is aware of AI skills (capacity building) and promote research and teaching by integrating leading-edge emerging technologies. 

The Hardware and OS detail is:

Processor: Intel Xeon E5-2680 (14 cores each of 2.4GHz)
RAM: 64 GB ECC (8GB x 8) DDR4
OS: Ubuntu 18.04 LTS

The available software resources are:

(1) Frameworks
Torch 7, Caffe, TensorFlow, Keras, MXNet, Theano, Paddle 
(2) Performance Libraries
CUDA Toolkit, cuDNN, cuSparse, cuBLAS, TensorRT
(3) Visualization Tools
DIGITS, TensorBoard 

The area of this lab is 422.28sqm. Network Lab has total 30 computers with high configuration. All are connected in LAN.  The following subject related software are available in PC
*Information Security
*Web Application Development
*Object Oriented Programming With Java
*Advance Java Technology
*Advance .Net Technology
*Distributed Systems
The area of this lab is 422.28sqft.
Internet Lab has total 25 computers with high configuration. All are connected in LAN. The following subject related software are available in PC
*Information Security
*Web Application Development
*Object Oriented Programming With Java
*Advance Java Technology
*Advance .Net Technology
*Distributed Systems

Government Engineering College - Rajkot has CWAN- Campus Wide Area Network

and NAMO WIFI facility to provide Internet facility.

The Campus Wide Area Network provides the Internet facility with 100 MBPS NKN

Link. The CWAN is setup with 1100+ Wired IO Ports and 47 Wireless Access Points throughout

the institute, including Centre of Excellence and Hostels. The CWAN has 70+ Switches which

includes a Cisco Layer 3 Switch and 06 Cisco Layer 2 Switches. The Fortigate-100 D firewall is

used for user management. The Server Room is equipped with 5 KVA UPS, 10 KVA Stabilizer

and 2 AC.

The CWAN supports following related applications.

1. PARAM-Shavak-Supercomputer Facility

2. CCTV Surveillance Networks

3. Video Conferencing

4. MIS Server

5. Moodle Server

6. Bodhitree Server

7. NPTEL Learning Resources Sharing

8. Library Management (Intranet)

9. Ansys Software (Intranet)

10. Mobile Attendance System

The NAMO WIFI facility has two hotspots each of 100 MBPS and 07 Wireless Access

Points. At present, this facility is provided at Block-C and Block-D of the institute.

The area of this lab is 422.28sqm.
Internet Lab has total 25 computers with high configuration.  The following subject related software are available in PC
*Database Management System
*Operating System
*Object Oriented Analysis Design And Uml
*Software Engineering
*Visual Basic Application & Programming
The area of this lab is 141.54sqft.
Internet Lab has total 25 computers with high configuration.  The following subject related software are available in PC
* Computer Programming & Utilization
*Data and File Structure
*Object Oriented Concepts And Programming
*Object Oriented Programming with C++
*Design and Analysis of Algorithms
It is a room with BISAG telecasting facility, Multimedia Projector and Visual Presenter Facilities with more than 100 student capacity.





Assistant Professor


Assistant Professor


Assistant Professor



Assistant Professor


Assistant Professor
Sanjay Bhanderi

Mr. Sanjay Bhanderi

Assistant Professor
Chintan Varnagar

Mr. Chintan Varnagar

Assistant Professor

Trupti Kodinariya

Miss. Trupti Kodinariya

Assistant Professor
Haresh Rathod

Mr. Haresh Rathod

Assistant Professor
Prashant Mehta

Mr. Prashant Mehta

Assistant Professor


Assistant Professor

Shyam Kotecha

Mr. Shyam Kotecha

Assistant Professor
Ravi Khimani

Mr. Ravi Khimani

Assistant Professor
Sheetal Nagar

Ms. Sheetal Nagar

Assistant Professor
Nirali Madhak

Ms. Nirali Madhak

Assistant Professor

Priyanka Raval

Ms. Priyanka Raval

Assistant Professor