Department of Computer Engineering was started in 1993. The Department is well established with number of well qualified and experienced faculty members.
Dr. Kishor T. Patil who has a total academic experience of 28+ years has been heading the Department of Computer Engineering since 17+ years. He has published/presented many research papers in national and international conferences/journals. He also owns patent to his credit. He believes in team spirit and motivates staff members to work for the overall growth of the students. The activities under his leadership like technical clubs, webinars, industry experts talk, mentor sessions, paper presentations, training and placement activities, industrial visits, department day celebrations, festival celebrations, sports and cultural activities not only hones their technical skills but also grooms their overall personality.Under his leadership, the department has been successfully able to meet vision-mission of college and department year after year.
He is assisted by highly qualified and dedicated staff members who make every effort of tuning the young minds to make them globally competitive.
Scope
As technology grows in leaps, the opportunity for expanding the field of Computing develops even more rapidly. The Computer Engineering Course gives a sound in the fundamentals of computing and an understanding of the underlying engineering principles. There is an unlimited scope for a computer engineers. Career opportunities include designing, developing and maintaining the software systems for a different range of applications such as Networking, user interfaces, banking, databases, forecasting, World Wide Web support, research and development and also there are unlimited self employment opportunities in this exciting field. Experts from industries are frequently invited to deliver seminars on topics on various subjects, to keep the students abreast with the latest developments in the industry.
Computing professionals might find themselves in a variety of environments in academia, research, industry, government, private and business organizations – analyzing problems for solutions, formulating and testing, using advanced communications or multi-media equipment, or working in teams for product development.
Vision of the College
To serve and have a transformative impact on society by constantly pursuing excellence in technical education, innovation, and entrepreneurship for human development with strong ethical values.
Mission of the College
- Serve and help transform society by graduating talented, broadly educated engineers, equipped with state-of-the-art technology resources for developing sustainable solutions
- Academic excellence in Science, Engineering and Technology through dedication to duty, commitment to research, innovation in learning and faith in human values.
- Cultivate the spirit of entrepreneurship and the connection between academia and industry that fosters problem solving through collaboration.
- Enable the students to develop into outstanding professionals with high ethical standards capable of creating, developing and managing global engineering enterprises.
Vision of the Department
To be recognized in the industry and society as an excellent center of education in the field of computer engineering.
Mission of the Department
- To provide an encouraging environment for teaching learning process.
- To empower Computer engineering Knowledge of the students to meet the needs of industry and society.
- To build overall personality of the student through Technical, Social and holistic activities.
Program Outcomes (PO)
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 teamwork: 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 (PSO)
- To apply the principles of mathematics, data structure and algorithm to solve the problem.
- To understand the functionality of hardware and software computer system and its application
Teaching Faculty
Non-Teaching Faculty
B.Sc (CS), ITI (COPA)
B.Sc(IT)
Board of Studies
Roles and Responsibilities
Composition
Second Year
| Sem III | |
|---|---|
| Sr. No | Course Name |
| 1 | Mathematics for Computer Engineering |
| 2 | Discrete Structures and Graph Theory |
| 3 | Analysis of Algorithm |
| 4 | Computer organization & Architecture |
| 5 | Open Elective |
| 6 | Analysis of Algorithm Lab |
| 7 | Computer Organization and Architecture Lab |
| 8 | Full Stack Java Programming |
| 9 | Entrepreneurship Developmen |
| 10 | Environmental Science for Engineers |
| Sem IV | |
|---|---|
| Sr. No | Course Name |
| 1 | Computational Theory |
| 2 | Database Management System |
| 3 | Operating System |
| 4 | Multidisciplinary minor |
| 5 | Open Elective |
| 6 | Database Management System Lab |
| 7 | Operating System Lab |
| 8 | Multidisciplinary minor |
| 9 | Mini Project |
| 10 | Business Model Development |
| 11 | Design Thinking |
Third Year
| Sem V | |
|---|---|
| Sr. No | Course Name |
| 1 | Theoretical Computer Science |
| 2 | Software Engineering |
| 3 | Computer Network |
| 4 | Data warehousing & Mining |
| 5 | Department Level Optional Course- 1 |
| 6 | Probabilistic Graphical Models |
| 7 | Internet Programming |
| 8 | Advance Database Management System |
| 9 | Software Engineering Lab |
| 10 | Computer Network Lab |
| 11 | Data ware housing & Mining Lab |
| 12 | Business Comm. & Ethics |
| 13 | Mini Project: 2 A |
| Sem VI | |
|---|---|
| Sr. No | Course Name |
| 1 | System Programming & Compiler Construction |
| 2 | Cryptography & System Security |
| 3 | Mobile Computing |
| 4 | Machine Learning |
| 5 | Department Level Optional Course -2 |
| 6 | Internet of Things |
| 7 | Digital Signal & Image Processing |
| 8 | Quantitative Analysis |
| 9 | System Programming & Compiler Construction Lab |
| 10 | Cryptography & System Security Lab |
| 11 | Mobile Computing Lab |
| 12 | Machine Learning Lab |
| 13 | Skill base Lab course : Cloud Computing |
| 14 | Mini Project Lab: 2B |
Final Year
| Sem VII | |
|---|---|
| Sr. No | Course Name |
| 1 | Artificial Intelligence |
| 2 | Big Data Analytics |
| 3 | Department Level Optional Course-3 |
| 4 | Machin Vision |
| 5 | Quantum Computing |
| 6 | Natural Language Processing |
| 7 | Department Level Optional Course-4 |
| 8 | Augumented and virtual reality |
| 9 | Block chain |
| 10 | Information Retrival |
| 11 | Institute Level Optional Course-1 |
| 12 | Product Lifecycle Management |
| 13 | Reliability Engineering |
| 14 | Management Information System |
| 15 | Design of Experiments |
| 16 | Operation Research |
| 17 | Cyber Security and Laws |
| 18 | Disaster Management & Mitigation Measures |
| 19 | Energy Audit and Management |
| 20 | Development Engineering |
| 21 | Artificial Intelligence Lab |
| 22 | Big Data Analytics Lab |
| 23 | Department Level Optional Course-3 Lab |
| 24 | Machin Vision Lab |
| 25 | Quantum Computing Lab |
| 26 | Natural Language Processing Lab |
| 27 | Department Level Optional Course-4 Lab |
| 28 | Augumented and virtual reality Lab |
| 29 | Block chain Lab |
| 30 | Information Retrival Lab |
| 31 | Major Project 1 |
| Sem VIII | |
|---|---|
| Sr. No | Course Name |
| 1 | Distributed Computing |
| 2 | Department Level Optional Course -5 |
| 3 | Deep Learning |
| 4 | Digital Forensic |
| 5 | Aplied Data Science |
| 6 | Department Level Optional Course -6 |
| 7 | Optimization in Machin Learning |
| 8 | High Performance Computing |
| 9 | Social Media Analytics |
| 10 | Institute Level Optional Course -2 |
| 11 | Project Management |
| 12 | Finance Management |
| 13 | Entrepreneurship Development and Management |
| 14 | Human Resource Management |
| 15 | Professional Ethics and CSR |
| 16 | Research Methodology |
| 17 | IPR and Patenting |
| 18 | Digital Business Management |
| 19 | Environmental Management |
| 20 | Distributed Computing Lab |
| 21 | Department Level Optional Course -5 Lab |
| 22 | Deep Learning Lab |
| 23 | Digital Forensic Lab |
| 24 | Aplied Data Science Lab |
| 25 | Department Level Optional Course -6 Lab |
| 26 | Optimization in Machin Learning Lab |
| 27 | High Performance Computing Lab |
| 28 | Social Media Analytics Lab |
| 29 | Major Project 2 |
1. Lab Name: Software Engineering & Testing Lab
Location of Laboratory: 501
Area of Laboratory: 70 SQM
Laboratory Incharge: Mrs. Jaspreet Kaur
A Software Engineering & Testing Lab is a specialized facility for designing, developing, and testing software applications. Equipped with advanced development tools, testing frameworks, and automation software, the lab supports hands-on learning in software development life cycle (SDLC), quality assurance, and debugging techniques. It enables students to practice coding standards, perform unit and system testing, and explore software reliability, ensuring the creation of efficient and robust software solutions.
Laboratory Equipments:
Hardware: Lenovo Neo 50T, Gen3, 12th generation Intel core i5 12400,16gb Ram Win 11 pro OEM/ 512GB SSD,19’’ IncTFT, K/B, Mouse Printers, Internet, Networking Devices – Switches
Operating System: Windows 11, Ubuntu 22.04 LTS
Utilization of Laboratory: For S.E., T.E. & B.E. Comp
2. Lab Name: Programming Lab
Location of Laboratory: 503
Area of Laboratory: 70 SQM
Laboratory Incharge: Mrs, Vaishali Yeole
A Programming Lab is a dedicated facility for developing and testing software applications. Equipped with high-performance computers, integrated development environments (IDEs), and various programming tools, the lab supports learning and research in languages like C, C++, Java, Python, and more. It provides hands-on experience in coding, algorithm design, software development, and debugging, enabling students to build efficient and scalable solutions for real-world problems.
Laboratory Equipments:
Hardware: Lenovo Neo 50T, Gen3, 12th generation Intel core i5 12400,16gb Ram Win 11 pro OEM/ 512GB SSD,19’’ IncTFT, K/B, Mouse Printers, Internet, Networking Devices – Switches
Operating System: Windows 11, Ubuntu 22.04 LTS
Utilization of Laboratory: For S.E., T.E. & B.E. Comp
3. Lab Name: Advanced Computing Lab
Location of Laboratory: 504
Area of Laboratory: 70 SQM
Laboratory Incharge: Mrs, Revti Jadhav
An Advanced Computing Lab is a high-performance facility designed for research and development in cutting-edge computing technologies. Equipped with powerful servers, GPUs, cloud computing resources, and advanced software tools, the lab supports work in artificial intelligence, machine learning, high-performance computing, and distributed systems. It enables students and researchers to experiment with complex algorithms, parallel processing, and emerging computing paradigms, fostering innovation and real-world problem-solving.
Laboratory Equipments:
Hardware: Lenovo Neo 50T, Gen3, 12th generation Intel core i5 12400,16gb Ram Win 11 pro OEM/ 512GB SSD,19’’ IncTFT, K/B, Mouse Printers, Internet, Networking Devices – Switches
Operating System: Windows 11, Ubuntu 22.04 LTS
Utilization of Laboratory: For S.E., T.E. & B.E. Comp
4. Lab Name: Network and Security Lab
Location of Laboratory: 505
Area of Laboratory: 67 SQM
Laboratory Incharge: Mrs, Sarita Khedikar
A Network and Security Lab is a specialized facility for studying, designing, and testing network infrastructures and cybersecurity solutions. Equipped with routers, switches, firewalls, intrusion detection systems, and security tools, the lab enables hands-on learning in network protocols, ethical hacking, encryption, and threat analysis. It prepares students for real-world challenges in securing and managing modern network environments while fostering research and innovation in cybersecurity.
Laboratory Equipments:
Hardware: Lenovo Neo 50T, Gen3, 12th generation Intel core i5 12400,16gb Ram Win 11 pro OEM/ 512GB SSD,19’’ IncTFT, K/B, Mouse Printers, Internet, Networking Devices – Switches
Operating System: Windows 11, Ubuntu 22.04 LTS
Utilization of Laboratory: For S.E., T.E. & B.E. Comp
5. Lab Name: Data Science Lab
Location of Laboratory: 506
Area of Laboratory: 67 SQM
Laboratory Incharge: Mr, Selvamurugan Kasi
A Data Science Lab is a dedicated facility for students and researchers to analyze data, develop machine learning models, and explore big data technologies. Equipped with high-performance computing resources, data analytics tools, and AI frameworks, the lab supports research and practical applications in fields like predictive analytics, deep learning, and data-driven decision-making. It fosters innovation, hands-on learning, and interdisciplinary collaboration to solve real-world challenges using data science techniques
Laboratory Equipments:
Hardware:HP RCTO 280, Intel core i5 10400, 2.9 GHz, 8 GB RAM, 1 TB SATA HDD,18.5″ TFT Monitors,Printers ,Internet.
Operating System: Windows 10, Ubuntu 22.04 LTS
Utilization of Laboratory: For S.E., T.E. & B.E. Comp
6. Lab Name: Project Lab
Location of Laboratory: 507
Area of Laboratory: 75 SQM
Laboratory Incharge: Mr, Satish Kuchiwale
A Project Lab is a specialized workspace where students design, develop, and implement software and hardware-based projects. Equipped with high-performance computers, development boards, programming tools, and networking devices, the lab supports innovation in areas like embedded systems, artificial intelligence, cybersecurity, and software development. It fosters hands-on learning, collaboration, and research, enabling students to work on real-world applications and industry-relevant solutions.
Laboratory Equipments:
Hardware:HP RCTO 280, Intel core i5 10400, 2.9 GHz, 8 GB RAM, 1 TB SATA HDD,18.5″ TFT Monitors,Printers ,Internet.
Operating System: Windows 10, Ubuntu 22.04 LTS
Utilization of Laboratory: For S.E., T.E. & B.E. Comp
| Date of Event | Name of Event | Link |
|---|---|---|
| 8/10/2025 | Scope and Era of InternetofThings(IOT) | Click Here |
| 30/9/2025 | Linux Installation Party | Click Here |
| 29/9/2025 | MASTERING AI TOOLS FOR INNOVATION | Click Here |
| 16/9/2025 | Proprietary Software vs. FOSS | Click Here |
| 12/8/2025 to 13/8/2025 | LLMs,RAG and AI Agents: A Practical Workshop | Click Here |
| 11/8/2025 | Mic & Metaphor | Click Here |
| 10/8/2025 | AGENTIC AI | Click Here |
| 7/8/2025 | Alumni Interaction | Click Here |
| 03/10/2023 to 06/10/2023. | Experts Talk on AI Innovations | Click Here |
| 8th January 2025 | Experts Talk on AI Innovations | Click Here |
| 1st October 2024 | Almni Interaction | Click Here |
| 5th September 2024 | Ganesh Chaturthi Celebration | Click Here |
| 8th Aug 2024 | Alumni Meet | Click Here |
| 19th April 2024 | Industrial Visit | Click Here |
| 13th March 2024 | Tech Debate | Click Here |
| 13th March 2024 | Web Designing Using Figma | Click Here |
| 9th February 2024 | Cash of Words | Click Here |
| 30th January 2024 and 31st January 2024 | Branching Brilliance: A GitHub Expedition | Click Here |
| 24th January 2024 | Cash of Words | Click Here |
| 2nd March 2024 and 3rd March 2024 | DevIgnite Hackathon – 2024 | Click Here |
| 3rd October 2023 to 6th October 2023 | VALUE ADDED PROGRAM ON AI POWERED OPPORTUNITIES | Click Here |
| 3rd October 2023 to 6th October 2023 | AI Techies Club | Click Here |
4 days workshop on Neural Networks and Deep Learning
Computer department organized 4 days workshop on Neural Networks and Deep Learning from 17th September 2019 to 20th September 2019. This workshop conducted by our students Hrushikesh Shukla (BE Comps) and Tanmay Pachpande (TE Comps), which cover up the contents of Introduction to Neural networks, Working of Neural Networks, Deep Learning concepts like Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), etc. , learn to program the Neural Networks and optimize them and given a small project for self learning. Also conducted a quiz on that session and given a digital participation certificate through email to participants.
Five Days Workshop on “Full Stack Development”
A Full Stack Development Workshop was Organized by T.E. and S.E. students of Computer Department. It was held from 26th August to 30th August in the college hours .The workshop was inaugurated by higher authorities of the college. The Workshop comprised of practical sessions on HTML(Day 1), CSS (Day 2), Bootstrap (Day 3), Javascript (Day 4 and Day 5). A final Kahoot quiz was conducted on the last day of the workshop and based on its evaluation, cash prize was given to the winner and the runner-up. The student’s response to this workshop was appreciable. They got quite acquainted with the front end technologies throughout this workshop.
Alumni Interaction Mr. Tanmay Chitnis [Alumni 2012 pass out], Software Development Engineer at Expedia Group, Seattle
This session was a very helpful and informational for the students as they came to know about the most recent trends of the new technologies and frameworks that are being used in the industries and how to balance between regular academic studies and preparation of placements. He recommended to include extra certification or internship in resume, work on open source technologies, emphasize on Practical Knowledge, Learning during Experiments and Viva’s, making projects and Hands-on Trainings as these lead to a much deeper understanding of concepts and bring in self-confidence. He concluded saying there is no shortage of jobs and career options.
Expert Guest Lecture On Digital Signal Processing(DFT) by Prof. Sarita Bopalkar; Prof. Kirti Suryawanshi
Mrs. Sarita Bopalkar mam given brief introduction to the concept of Digital Signal Processing and Explain the concept discrete fourier transform with its properties
Big Data & Analytics – Hadoop Workshop
Our department has organized one day workshop on “Big Data & Hadoop” for SE/TE/BE students. This workshop consists of 2 sessions.First session conducted by Dr. Tripathy Amiya who covered on big data & analytics , hadoop tools, MapReduce with interactive way. Second session conducted by Prof.Sana Shaikh who had taken hands on training on hadoop installation & MongoDB installation & different commands. Students are appreciated the session & requested for one more session.
Tea Party with Placed students
Our department has organized tea party for placed students with support of higher authorities. All the authorities were present for this occasion. Placed students are congratulated, awarded with certificate and given Pen as a token which is printed with college name. Key persons and students are shared their views. All the placed students are guided and share the small tips to SE and TE comp students how to face the campus interview.
2 days workshop on MACHINE LEARNING IN PYTHON TENSORFLOW
The resource persons conducted a workshop on machine learning in python using TensorFlow. The students were introduced to the concept of deep learning. The primary software tool of deep learning is TensorFlow. It is an open source artificial intelligence library, using data flow graphs to build models. It allows developers to create large-scale neural networks with many layers. TensorFlow is mainly used for: Classification, Perception, Understanding, Discovering, Prediction and Creation.
Seminar on Data Science with R Language
R is a programming language and software environment for statistical analysis, graphics representation and reporting. R was created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand, and is currently developed by the R Development Core Team.
HMI Exhibition Contest
Our department has organized HMI Exhibition Contest with support of higher authorities. All the authorities were present for this occasion. A group of 7-8 students did survey on various topics (like ATVM-Automatic Ticket Vending Machine) suggested by our faculty. All the groups visited various sectors according to their survey topic and they figured out the daily required things that people use ,through survey on the basis of usage. According to the survey, students and staff elected the best survey according to the criteria.
Hands on Training on IoT
Students are aware of the basics of the IoT technology. They get the knowledge of home automated system. Also students get aware of IoT embedded systems and microcontrollers, Working with Big Data, Raspberry Pi interface for IoT.
Women’s Day Celebration
Students of SE / TE/ BE Comp participated in the celebration. All the authorities of college were present for the celebration and given speech for the importance women’s day celebration. Also felicitated and given certificates to the students.
Club Inauguration (Coding Club , Machine Learning Club, IOT club)
Our department has inaugurated various clubs such as Machine Learning Club, Coding Club and Internet of Things Club (IoT) in the presence of all the higher authorities including trustee members. These clubs are specified its objectives and outcomes. This is going to be achieved through various activities, expert lectures, quiz test and hands-on- training depends on activity needs.
3 days workshop on Full Stack Web Development
Students of SE/BE Comp participated and taken a workshop on HTML, CSS, Nodejs, MongoDB, NPM and Online project deployment. They elaborate how to make projects using above mentioned topics.
Seminar on INTRODUCTION TO MACHINE LEARNING AND ITS APPLICATIONS and Quiz Test
Students of BE Computer conducted a seminar on machine learning and its applications. A quiz test on machine learning was conducted following the seminar.
Youth Development Activity
Motivate the students to take part in extera cariculam activities.
Technical Seminar (IIHT)
Introduced the new area in technology, Future scope in IT Industry. Increase the knowledge in networking Profession.
Poster Making Competition (Software Engineering & Testing )
Poster Making Competition aims for the students to use their knowledge, understand and awareness on different fields of software Engineering & testing.Increase the Intelligence in Posters.
Quiz Event
This Activity helps the students to test their knowledge in various fields e.g. Current Affairs, Friends.
Students are aware about their strength and weakness in their interested field.
This Activity helps the student in various competitions out of the campus
Department Clubs
Newsletter
Magazines
| Date | Notice Descritpion | Link |
|---|---|---|
| 25/02/2025 | Collection of xerox copy of answer paper for Exam Nov/Dec 2024 | Click Here |
| 21/02/2025 | Eye donation Awarness session | Click Here |
| 21/02/2025 | Blood donation camp | Click Here |
| 20/02/2025 | Exam Form Submission and Fee Payment for K.T. Students | Click Here |
| 21/02/2025 | Carry on notice | Click Here |
| 30/09/2024 | Alumni activity notice | Click Here |
Name of Company / Institution
- Overview of Collaboration
- Events
- MoU Link
Name of Company / Institution
- Overview of Collaboration
- Events
- MoU Link