About the Department
The faculty of Computer Science and Engineering is the soul of many engineering branches. This field is instrumental in bringing the world to where it is today. Computer Science and Engineering course was started in our institution in the year 2012. Our department has 21 dedicated, well-qualified and experienced faculty members who are specialists in the areas of Database, Data Mining, Computer Architecture, Operating Systems, Image Processing, Wireless Network, Artificial Neural Networks’, Information Security and Programming Languages. They actively involve themselves in research activities in the field of their specialization. They have published a number of papers in Journals and Conferences of National and International repute. The department attributes its success to the creative and innovative outlook of its students also. It encourages students to participate in numerous symposiums and to present papers in them. Students are also made to undergo in-plant training programs, where they hone their technical skill in the realm of computers1
VISION
To offer a quality education in Computer Science and Engineering, encourage life-long learning and make graduates responsible for society by upholding social values in the field of emerging technology.
MISSION
- To produce graduates with sound technical knowledge and good skills that prepare them for a rewarding career in prominent industries.
- To promote collaborative learning and research with Industry, Government and International organizations for continuous knowledge transfer and enhancement.
- To promote entrepreneurship and mould the graduates to be leaders by cultivating the spirit of social and ethical values.
PROGRAMME EDUCATIONAL OBJECTIVES
PEO1
Graduates will have successful careers with high level of technical competency and problem-solving skills to produce innovative solutions for industrial needs.
PEO2
Graduates will have good professionalism, team work, effective communication, leadership qualities and life-long learning for the welfare of mankind.
PEO3
Graduates will be familiar with recent trends in industry for delivering and implementing innovative system in collaboration.
PO1
Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO2
Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
PO3
Design/development of solutions: Design solutions for complex 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.
PO4
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.
PO5
Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
PO6
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.
PO7
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.
PO8
Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO9
Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO10
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.
PO11
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.
PO12
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.
PROGRAM SPECIFIC OUTCOME
PSO1
Addressing societal problems through design and development of software and firmware solutions using latest Computer Science tools and technologies.
PSO2
Involving students enthusiastically in software development, software testing, storage, computing and business intelligence sectors.
PSO3
Making them to use their technical expertise in latest technologies and update knowledge continuously in Computer Science and Engineering to excel in career.
Virtusa Campus Connect
VSB College of Engineering is one of the Institutions in the world which is awarded with Virtusa – “Center of Excellence” and it is the college which inaugurated the center of excellence.
Company explained how all over the globe the Pega experts are numbered around 6000 and our students would be joining this elite group. It is one of the best starts for any career in IT industry because the demand for PEGA expert is going to be very high throughout the next decade. They may also get the onsite job opportunities much earlier than other students working in usual domains.
Career Opportunity
Computer Engineers build the world’s infrastructure. In doing so, they quietly shape the history of nations around the world. Only by exploring Computer Engineering’s influence in shaping the world we know today, we can creatively envision the progress of our tomorrows. Students and faculty gain knowledge and experience relevant for their further successful career growth in sphere of Computer Engineering. Our institute pioneers towards making every individual an effective Computer Engineer who serves the nation through the knowledge gained.
laboratories are fully equipped with systems and latest software with an environment to implement and experiment knowledge acquired in the classroom.
Academic achievement matters a lot to students’ lives as it plays a huge part in shaping responsible individuals. Students must stay focused to learn valuable knowledge for better academic results. Indian parents are rigorous and particular about their children’s grades, they make sure students priorities academics more than any unnecessary distractions.
Work Experience: 25 Years
Area of specialization: Artificial and Intelligence, Machine Learning, Network Security
Work Experience: 17 Years
Area of specialization: Wireless Communications, Network Security
Work Experience: 13.4 Years
Area of specialization: Artificial Intelligence, Deep Learning
Work Experience: 3 Years
Area of specialization: Data Structures
Work Experience: 16 Years
Area of specialization: Wireless network security, Software testing
Work Experience: 7 Years
Area of specialization: Wireless Sensor network.
Work Experience: 2 Years
Area of specialization: Network , Python , Machine Learning
Work Experience: 9.7 Years
Area of specialization: Networking
Work Experience: 1 Year
Area of specialization: Networking
Work Experience: 13 Years
Area of specialization: Networking, Machine Learning
Work Experience: 1 Year
Area of specialization: Networking
Work Experience: 3 Months
Area of specialization: Artificial and Intelligence
Work Experience: 14 Years
Area of specialization: Networking
Work Experience: 10 Years
Area of specialization: Artificial and Intelligence
Work Experience: 8 Years
Area of specialization: Data Structure
Work Experience: 10 Years
Area of specialization: Artificial and Intelligence
Work Experience: 3 Years
Area of specialization: Software Testing, Machine Learning, Networks
Work Experience: 2 Years 6 Months
Area of specialization: Data Structures
Work Experience: 2 Month
Area of specialization: Computer Networking
Work Experience: 4 Years 4 Month
Area of specialization: Database Management, Relational Database Management
INTAKE
Programme of Study
Under Graduate Course B.E. Computer Science and Engineering.
Description
Started with 60 seats in 2012.
Intake increased from 60 to 120 in 2019.
Intake increased from 120 to 180 in 2022.
Intake increased from 180 to 240 in 2023.
NEWS & EVENT