+91 20- 25311000, 25477211
Vision
To equip women with excellent education in Computer Engineering, enabling them to play significant leadership roles in technology and society.
Mission Statements
- Impart excellent education, necessary skills, training and experimentation capabilities in the field of computer science and engineering.
- Create a vibrant and an intellectually stimulating environment for students to promote innovative and multidisciplinary real world problem solving.
- Develop women professionals and imbibe work ethics and leadership skills in them, thereby helping them pursue successful career and contribute to science and technology.
- Collaborate with industry and other universities to help create competent computer professionals.
- Strive to fulfill the expectations of all relevant stakeholders.
Program Educational Objectives (PEOs)
- To prepare students for academic competence, to be employed as computer professionals, for industry, higher studies, research, entrepreneurship and to significantly contribute to the society at large.
- To develop students’ fundamental knowledge related to mathematics, science, computer science, computer engineering and to make them capable of providing solutions to challenging problems and multidisciplinary problems.
- To enrich students with soft skills, leadership skills, professional skills and work ethics to make them good computer professionals and role models for future generations.
- To prepare students capable of self-learning, to have the ability to adapt to changes and to possess the ability to understand the impact of engineering on society and humankind.
Program Specific Outcomes (PSOs)
- Graduates capable of working in various domains, solving problems by applying knowledge and skills from Software Development, Networking, Databases, Internet of Things, and Embedded systems.
- Graduates capable of developing, maintaining software services, software products and embedded systems by applying the entire software development life cycle.
About the department
Cummins College of Engineering was established in 1991 under the umbrella of “Maharshi Karve Stree Shikshan Samstha, Pune”. The department was accredited by National Board of Accreditation (NBA) in the years 1998, 2002, 2006, 2012 and 2022.
The department of Computer Engineering started in 1991 with an intake of 60 students. The first undergraduate batch rolled out in the year 1995. The intake capacity was subsequently increased from 60 to 90 in the year 2001 – 2002 and from 90 to 120 from the year 2002 – 2003. The second shift for the computer department started from the academic year 2010 with an intake capacity of 60.
The department started the post graduation program, M. Tech in Computer Engineering in the year 2024-25 with an intake of 12.
The department is known for its excellent results and placements with average package increasing every year. Our Students occupy the best positions in both academia and industry world over. Graduates from the department are heavily recruited by the leading IT companies. Our students are also selected in the top ranked Universities world over for their Post Graduate and Doctorate courses. The department continues to enjoy strong interaction and support from our beloved alumni.
The department has young and enthusiastic faculty members who provide expertise in their areas of interests which are major areas in the field of computer science and engineering. Currently the department has 34 teaching faculty members under the constructive leadership of Dr. Sunita Jahirabadkar.
The institute has adopted progressive autonomy since 2016. The first batch under autonomy passed out in the year 2020. With autonomy, the department has been able to bring in a lot of best practices and useful additions in the best interest of the students. These changes include the provision for full time internships, open electives, new courses following latest global trends and lots of hands on experience. In addition, self expression courses, inputs for interviews, communication skills etc. are also provided to help in the all round development of the students.
The department continuously tries to improve the programme structure with the view of keeping our graduates competitive in the job market. The program structure is revised after considering the suggestions given by the members of the board of studies and the feedback collected from the stakeholders like employers, alumni, parents, industry experts and students. The faculty members continuously strive for delivering the courses in the most effective manner by adopting suitable pedagogy practices.
The department encourages the students to join the student chapters like CSI and ACMW and student clubs like technical and non–technical student clubs like Kalawant Club, Code Club, Astronomy Club, Mozilla Campus Club, MusicClub, TechBuzz Club, Google Student Club, Artificial Intelligence and Computer Vision Society(AICVS), Cummins Debate Club, Loop, TEDx CCOEW and the other clubs in the college.
The student chapters and student clubs organize various expert sessions, panel discussions, workshops and webinars for the students. This keeps the students abreast with the new technologies and tools. They get an opportunity to interact with industry experts. Coding competitions organized under these chapters help the students to improve their management skills, team building skills and communication skills. Students get an experience of managing activities end to end. In this way, the department provides a multitude of avenues for the students in order to prepare them for their future endeavors in industry or academia.
The department provides a platform for faculty and students to have meaningful and significant interactions and inputs from industry experts as well as experts from academia. Over the years, we were fortunate to have inspiring interactions with eminent personalities such as Dr. Vijay Bhatkar, Dr. Raghunath Mashelkar, Dr. Jayant Naralikar, Dr. P. C. Sejwalkar, Dr. D.B. Phatak, Dr. S. B. Mujumdar, Dr. P.K. Sinha, Dr. Uday Khedkar, Mr. Ravi Pandit, Mr. Anand Deshpande, Dr. V. M. Patnaik and many more. Department has close association with Persistent Systems Ltd., Veritas Technologies, Vodafone, IBM, Citi, and also with IIT Powai.
The department has facilities and infrastructures to support students for experiments, hands-on projects and exploration in various domains like IOT, data science, embedded systems, networking etc. The final year students can use the dedicated Project facility having high end desktops for their final year project work. The department has a blade server which is used for intranet applications.
The Department laboratories possess more than 400 high end PCS with necessary licensed operating system, software and network printers. All the labs are well equipped with sufficient power backup. All the 10 laboratories have internet facility from the 1Gbps dedicated line.
The college library has a very good collection of academic and general information books and subscriptions for journals on the topics related to the study of Computer Engineering. In addition, the department has a separate departmental library consisting of previous seminar reports, Project Reports and various manuals to make the study material readily available for the students.
The combination of all of these elements makes the Computer Engineering Department the first choice of the freshers.
 | Name | Dr. Mrs. Sunita Jahirabadkar |
| Designation | Professor & Head of Department | |
| Qualification | Ph.D. (Computer Engineering) | |
| Experience | Teaching: 26 Years Industry: 3 Years | |
| Area of Interest | Artificial Intelligence, Data Analytics, Machine Learning, IPR | |
| E mail Id | sunita.jahirabadkar@cumminscollege.in | |
| Contact No. | 020-25311300 |
 | Name | Dr. Mrs. Sandhya Arora |
| Designation | Professor (Computer Engineering) | |
| Qualification | PhD (Computer Engineering) | |
| Experience | Teaching:27 yrs | |
| Area of Interest | Soft Computing, Online Learning, Intelligent Tutoring System, Pattern Recognition, Image processing, Data analytics, Machine learning, Deep learning | |
| E mail Id | sandhya.arora@cumminscollege.in | |
| Contact No. | 020-25311326 |
 | Name | Dr. Mrs. Supriya Milind Kelkar |
| Designation | Associate Professor & Dean International Relations | |
| Qualification | Ph. D. | |
| Experience | Teaching: 28 Years Industry: 3 Year | |
| Area of Interest | IoT, Trust management systems, Machine Learning, Automative Networks | |
| E mail Id | supriya.kelkar@cumminscollege.in | |
| Contact No. | 020-25311253 |
 | Name | Dr. Shilpa Deshpande |
| Designation | Associate Professor | |
| Qualification | Ph. D. Computer Engg | |
| Experience | Teaching: 27 Years | |
| Area of Interest | Cloud Computing, Software Engineering, Software Design and Architecture, Cyber Security | |
| E mail Id | shilpa.deshpande@cumminscollege.in | |
| Contact No. | 020-25311304 |
 | Name | Dr.Mrs. Chhaya Gosavi |
| Designation | Associate Professor | |
| Qualification | Ph.D. Computer | |
| Experience | Teaching: 25 Years | |
| Area of Interest | Multimedia, Compilers, Machine Learning | |
| E mail Id | chhaya.gosavi@cumminscollege.in | |
| Contact No. | 020-25311313 |
 | Name | Mr. Hitendra Khairnar |
| Designation | Assistant Professor, Dean Quality Assurance | |
| Qualification | M.E. (Computer Engineering) | |
| Experience | Teaching: 25 Years | |
| Area of Interest | Algorithms, Machine Learning, Data Analytics | |
| E mail Id | Hitendra.Khairnar@cumminscollege.in | |
| Contact No. | 020-25311162 |
 | Name | Dr. Anjali Naik |
| Designation | Assistant Professor & Associate Dean Examination | |
| Qualification | Ph.D (Computer Science) | |
| Experience | Teaching: 31 Years | |
| Area of Interest | Artificial Intelligence, Medical Image processing, Deep Learning | |
| E mail Id | anjali.naik@cumminscollege.in | |
| Contact No. | 020-25311310 |
 | Name | Mr. Saurabh Mengale |
| Designation | Assistant Professor | |
| Qualification | B.E. Computer Engg. | |
| Experience | Teaching: 25 Years Industrial: 3 Year | |
| Area of Interest | Computer Networks, Security, High Performance Computing | |
| E mail Id | saurabh.mengale@cumminscollege.in | |
| Contact No. | 020-25311315 |
 | Name | Mrs. Rakhi Dongaonkar |
| Designation | Assistant Professor | |
| Qualification | M. E. [CSE-IT] | |
| Experience | Teaching: 23 Years | |
| Area of Interest | Data Bases, Data Mining and Data Warehousing, Object Oriented Programming | |
| E mail Id | rakhi.dongaonkar@cumminscollege.in | |
| Contact No. | 020-25311320 |
 | Name | Dr. Madhuri P. Tasgaonkar |
| Designation | Assistant Professor | |
| Qualification | Ph.D (E&Tc) | |
| Experience | Teaching: 26 Years | |
| Area of Interest | Biomedical, Image processing and analysis, Machine Learning, Pattern Recognition, Data Science | |
| E mail Id | madhuri.tasgaonkar@cumminscollege.in | |
| Contact No. | 020-25311314 |
 | Name | Mrs. Aparna Hajare |
| Designation | Assistant Professor | |
| Qualification | M.E. (Computer Network) | |
| Experience | Teaching: 20 Years | |
| Area of Interest | Blockchain Technology, Devops, Machine Learning, Cloud Computing, Operating System,Computer Networks, Algorithms,Theory of Computation. | |
| E mail Id | aparna.hajare@cumminscollege.in | |
| Contact No. | 020-25311310 |
 | Name | Dr. Neeta Maitre |
| Designation | Assistant Professor & Associate Dean (Student Affairs) | |
| Qualification | Ph.D. (Computer Science & Technology), MBA (HR) | |
| Experience | Teaching: 22 Years | |
| Area of Interest | Databases, Bioinformatics, Management | |
| E mail Id | neeta.maitre@cumminscollege.in | |
| Contact No. | 020-25311325 |
 | Name | Mrs. Meenal Kamlakar |
| Designation | Assistant Professor | |
| Qualification | M.E. Computer Engg. | |
| Experience | Teaching: 19 Years Industrial: 7 Months | |
| Area of Interest | Soft skills, software Engineering, multimedia, Computer networks, Biomedical | |
| E mail Id | meenal.kamlakar@cumminscollege.in | |
| Contact No. | 020-25311320 |
 | Name | Mrs. Nutan Deshmukh |
| Designation | Assistant Professor | |
| Qualification | M.E. Computer Engineering, Pursuing PhD in Computer Engineering | |
| Experience | Teaching:20 Years | |
| Area of Interest | Internet of Things, Artificial Intelligence and Machine Learning, Microprocessors & Microcontrollers, Embedded Systems | |
| E mail Id | nutan.deshmukh@cumminscollege.in | |
| Contact No. | 020-25311324 |
 | Name | Mrs. Sakshi Mandke |
| Designation | Assistant Professor | |
| Qualification | M.E. Computer Engg. | |
| Experience | Teaching: 17 Years | |
| Area of Interest | High Performance computing, Data structures, Big Data and Analytics, Digital marketing | |
| E mail Id | sakshi.mandke@cumminscollege.in | |
| Contact No. | 020-25311306 |
 | Name | Mrs. Pranjali Deshpande |
| Designation | Assistant Professor | |
| Qualification | M. E. (Computer Engineering), pursuing Ph. D. in Computer and Information Technology | |
| Experience | Teaching: 20 Years | |
| Area of Interest | Natural Language Processing, Generative AI, High Performance Computing, Digital Marketing | |
| E mail Id | pranjali.deshpande@cumminscollege.in | |
| Contact No. | 020-25311314 |
 | Name | Mrs. Varsha Pimprale |
| Designation | Assistant Professor | |
| Qualification | M.E.(Computer Networks), Pursuing PhD in Computer Engineering | |
| Experience | Teaching: 19 Years | |
| Area of Interest | Machine Learning, Operating systems, Artificial Intelligence, Object Oriented Programming Languages | |
| E mail Id | varsha.pimprale@cumminscollege.in | |
| Contact No. | 020 25311324 |
 | Name | Dr. Shital Barekar |
| Designation | Assistant Professor | |
| Qualification | Ph. D | |
| Experience | Teaching: 20 Years Industry: 1 year | |
| Area of Interest | VLSI, Embedded Systems | |
| E mail Id | sheetal.barekar@cumminscollege.in | |
| Contact No. | 020-25311309 |
 | Name | Mr. Prakash Date |
| Designation | Assistant Professor | |
| Qualification | M.E. Computer Engineering | |
| Experience | Teaching: 15 Years | |
| Area of Interest | Data structures, Computer Organization, Machine Learning, Database Management Systems | |
| E mail Id | prakash.date@cumminscollege.in | |
| Contact No. | 020-25311315 |
 | Name | Mrs. Shilpa Pant |
| Designation | Assistant Professor | |
| Qualification | ME (Computer), Pursuing PhD | |
| Experience | Teaching: 17 Years | |
| Area of Interest | IOT, NLP, Database management, Digital Electronics | |
| E mail Id | Shilpa.deogirkar@cumminscollege.in | |
| Contact No. | 020-25311313 |
 | Name | Dr. Sushila Shelke |
| Designation | Assistant Professor | |
| Qualification | PhD Computer Engineering | |
| Experience | Teaching: 14 year Industry:2 years | |
| Area of Interest | Social Network Analysis, Data Mining | |
| E mail Id | sushila.shelke@cumminscollege.in | |
| Contact No. | 020-25311327 |
 | Name | Mrs. Vaishali M. Salgar |
| Designation | Assistant Professor | |
| Qualification | M. E. Computer | |
| Experience | 15 years | |
| Area of Interest | Image Processing,Block Chain,Machine learning, Digital signal processing, Computer Graphics, Operating systems, Programming Laguages (MatLab,OPenCV,C,C++) | |
| E mail Id | vaishali.salgar@cumminscollege.in | |
| Contact No. | 020-25311313 |
 | Name | Mrs. Rita S. Shelke |
| Designation | Assistant Professor | |
| Qualification | M.Tech (Computer), Pursuing PhD | |
| Experience | Teaching: 17 Years Industry: 1Year | |
| Area of Interest | Data base Management systems, Computer networks, Data Communication and Wireless Sensor Networks, ICS, ML | |
| E mail Id | rita.shelke@ cumminscollege.in | |
| Contact No. | 020-25311327 |
 | Name | Mrs Nilofer Shrenik Kittad |
| Designation | Assistant Professor | |
| Qualification | M.Tech (Comp/IT) | |
| Experience | Teaching: 14Years | |
| Area of Interest | OOMD, Software Engg, Operating Systems,Databases,Software Testing, HCI | |
| E mail Id | nilofer.attar@ cumminscollege.in | |
| Contact No. | 020-25311327 |
 | Name | Dr. Mahendra Prabhakar Deore |
| Designation | Assistant Professor, Associate Dean Examination | |
| Qualification | Ph.D (CSE) | |
| Experience | Teaching: 16 Years | |
| Area of Interest | Security, Machine Learning, Computer Networks | |
| E mail Id | mahendra.deore@ cumminscollege.in | |
| Contact No. | 020-25311121 |
 | Name | Ms. Gitanjali Salunke |
| Designation | Assistant Professor | |
| Qualification | M.Tech (CSE) | |
| Experience | Teaching: 15 Years | |
| Area of Interest | Databases, TOC, Data Analytics, Data Structures | |
| E mail Id | gitanjalee.salunkhe@cumminscollege.in | |
| Contact No. | 020 25311314 |
 | Name | Mrs. Jyoti L. Bangare |
| Designation | Assistant Professor | |
| Qualification | ME (Computer), Pursuing PhD | |
| Experience | Teaching: 13 Years | |
| Area of Interest | Machine Learning, Artificial Intelligence, Internet of Things (IoT), Data Analytics, Federated Learning | |
| E mail Id | jyoti.bangare@cumminscollege.in | |
| Contact No. | 020 25311327 |
 | Name | Mrs. Sulakshana Nagpurkar |
| Designation | Assistant Professor | |
| Qualification | ME (Computer) | |
| Experience | Teaching- 6 Years | |
| Area of Interest | Software Engineering,Software Testing,Operating Systems, Cloud Computing | |
| E mail Id | sulakshana.nagpurkar@cumminscollege.in | |
| Contact No. | 020-25311332 |
 | Name | Mrs. Jyoti Aniket Kengale |
| Designation | Assistant Professor | |
| Qualification | ME(Computer Engineering) | |
| Experience | Teaching: 11 Years | |
| Area of Interest | Machine Learning, Object Oriented Programming, IoT, TOC | |
| E mail Id | jyoti.langhi@cumminscollege.in | |
| Contact No. | 020-25311311 |
 | Name | Mrs. Sarika Neeraj Joglekar |
| Designation | Assistant Professor | |
| Qualification | ME(Computer Engineering) | |
| Experience | Teaching: 11 years | |
| Area of Interest | Artificial Intelligence & Machine Learning, Software Engineering, Cloud Computing, Engineering Ethics | |
| E mail Id | sarika.joglekar@cumminscollege.in | |
| Contact No. | 020-25311305 |
 | Name | Mrs. Priya Deokar |
| Designation | Assistant Professor | |
| Qualification | M. E. (Computer Engineering) | |
| Experience | Teaching: 9 Yrs Industry: 7 Yrs | |
| Area of Interest | Artificial Intelligence, Cyber Security | |
| E mail Id | priya.deokar@cumminscollege.in | |
| Contact No. | 020-25311306 |
 | Name | Mrs. Ashwini S. Rajurkar |
| Designation | Assistant Professor | |
| Qualification | Ph.D(CSE),M.E.(CSE) | |
| Experience | Teaching: 13 Years | |
| Area of Interest | Machine Learning, Artificial Intelligence, IoT | |
| E mail Id | ashwini.rajurkar@cumminscollege.in | |
| Contact No. | 020-25311315 |
 | Name | Ms. Paurnima Kawale |
| Designation | Assistant Professor | |
| Qualification | Mtech(CSE), Pursuing PhD | |
| Experience | Teaching: 3 Yrs | |
| Area of Interest | Cloud Computing, Operating System, Artificial Intelligence, Machine Learning, Data Structures, Java FullStack, Microprocessor, DevOps | |
| E mail Id | paurnima.kawale@cumminscollege.in | |
| Contact No. | 020-25311315 |
 | Name | Sanjivani Umesh Mane |
| Designation | Assistant Professor | |
| Qualification | M.E.(Information Technology) | |
| Experience | Teaching: 6 Yr Industry: 1.4 Yr | |
| Area of Interest | Machine Learning, Data Analytics, Artificial Intelligence, Cloud Computing, Android | |
| E mail Id | sanjivani.mane@cumminscollege.in | |
| Contact No. | 020-25311310 |
Members of Board of Studies Computer Engineering
| Sr. No. | Composition | Member Name |
| 1 | Head of the Department (Chairman) | Dr. Sunita Jahirabadkar |
| 2 | The entire faculty of each Specialization | All Faculty Members |
| 3 | Experts in the subject from outside the college to be nominated by the Academic Council | Dr. Vrushali Kulkarni |
| 4 | Dr. Suhas Patil | |
| 5 | Post Graduate meritorious Alumnus Nominated by Principal | Ms. Nandini De |
| 6 | Expert Nominated by Vice-Chancellor, SPPU. | Dr. Nuzhat Shaikh |
| 7 | Representative From Industry Related to Placements | Mr. Ajay Divekar |
| 8 | Experts from outside college/ co-opt/ Invitee Member | Dr. Manasi Patwardhan |
| 9 | Dr. Uday Khedkar | |
| 10 | Dr. Navin Kabra | |
| 11 | Dr. Abhijat Vichare | |
| 12 | Secretary | Mrs. Aparna Hajare |
Laboratory Summary
The Department has 11 well equipped and well maintained laboratories which possess more than 402 high end PCS. Each lab has licensed software’s necessary to conduct corresponding courses in that laboratory. The laboratories are maintained by third party for hardware maintenance. All the laboratories are well protected with centralized UPS or with individual UPS support in their laboratories.
The internet facility available for students has 1 Gbps and 30 Mbps dedicated line where they can surf the internet to gather unlimited information and increase their knowledge. The final year students are provided with required resources having high end desktops for their final year project.
Students may work on different configurations varying from Fedora, Windows 07 etc. to fulfill their needs of the project. All these laboratories are well equipped with network printers.
Laboratory Details
| Sr. No. | Laboratory Name | Lab In-charge |
|---|---|---|
| 1 | Software Laboratory – I | Ms. Vrushali Shinde |
| 2 | Software Laboratory – II | Mrs. Sulakshana Nagpurkar |
| 3 | Software Laboratory – III | Ms. Namita Tandale |
| 4 | Software Laboratory – IV | Mr. Ravikiran Holkar |
| 5 | Software Laboratory – V | Mr. Harshad Mhasawade |
| 6 | Software Laboratory – VI | Mrs. Sulakshana Nagpurkar |
| 7 | Software Laboratory – VII | Mrs. Namita Tandale |
| 8 | Software Laboratory – VIII | Ms. Deepali Nagrale |
| 9 | Software Laboratory – IX | Mrs. Jyoti Langhi |
| 10 | Software Laboratory – X | Mrs. Jyoti Langhi |
| 11 | Project Facility | Mr. Harshad Mhasawade |
1. Software Laboratory-I
Hardware Configuration: Processor: INTEL CORE i3-4150@3.5 GHz*, Motherboard-Asus IntelB85 Chipset, RAM—16 GB, HDD-500GB, DVD/CD ROM-M-disc L.G.Super-multi. Monitor Specification: 18.5” inches LED (30 MACHINES) Printers : 01 Canon Network Printer
Software Installed: Windows 7, Ms Office 7, Eclipse, Fedora 20 , CUDA
Utilization of Laboratory – Third Year and Final Year Computer Engineering students.
| Courses Conducted in Semester -I | Courses Conducted in Semester -II |
| Internet of Things (IoT) (Final Year BTech) | Artificial Intelligence and Machine Learning (TY.BTech) |
2. Software Laboratory-II
Hardware Configuration: 34 computers with configuration CPU INTEL i3- 2120, 3.30GHZ, M/B-DH61WW, 8GB RAM, 500 GB HDD, CD/DVD ROM-Lg, Network Printer-Hp Laserjet p2055dn
Software Installed : OS – LINUX [Fedora 20],OS – Windows 7, Eclipse, Python, packet tracer, Java
Utilization of Laboratory – Second Year and Third Year Computer Engineering students.
| Courses Conducted in Semester -I | Courses Conducted in Semester -II |
| Digital Electronics Laboratory (T.Y.B.Tech) | Communication Skills (S.Y.BTech and T.Y.BTech) |
3. Software Laboratory-III
Hardware Configuration: Number of Machines :35, Network Printer: 01, Motherboard: HP 280 Pro G8 Microtower PC24J29AV, CPU Processor:Intel Core i7 11700 CPU@2.50GHz 16MB 8 cores, RAM: 16 GB, Hard disk: 1TB Monitor Specification:- 5RD66A7 HP P204v 19.5 inch
Software Installed: Windows 11, Ubuntu 16, MySql, MongoDB, Eclipse
Utilization of Laboratory: Second year and Third year Computer Engineering students
| Courses Conducted in Semester -I | Courses Conducted in Semester -II |
| Database Management System Laboratory-(T.Y.BTech) | Database Management System Laboratory-(S.Y.BTech) |
4. Software Laboratory-IV
Hardware Configuration: 30 computers with configuration as Intel Core i7 3.4GHz, Motherboard-DB 75 EN-55,DDR3 8GB RAM, 1TB HDD, IBM server, Printers : 1 Canon Network Laser Printer.
Software Installed : Fedora-20 and Ubuntu, MongoDB, MySQL, Apache Tomcat, JDK 1.6, Eclipse, Kali Linux and so on.
Utilization of Laboratory – Third Year and Final Year Computer Engineering students
| Courses Conducted in Semester -I | Courses Conducted in Semester -II |
| Programming Skills Development Laboratory (T.Y.BTech) | Network Information System Laboratory (Final Year BTech) |
5. Software Laboratory-V
Hardware Configuration: 35 computers with configuration as Intel i5 core 3.0 GHz, ASUS-M110MCS, 8GB RAM, 1TB HDD, Printer:1 Canon Network Laser Printer, UPS – 3 3KVA, 8 Port Network Switch: 8, Webcam-2, Raspberry Pi Kit-5, Projector
Software Installed: Fedora 27, Eclipse, C++, java, python
Utilization of Laboratory: Third year Computer Engineering students
| Courses Conducted in Semester -I | Courses Conducted in Semester -II |
| Computer Network Laboratory (T.Y.B.Tech) | Artificial Intelligence and Machine Learning (T.Y.B.Tech) |
6. Software Laboratory-VI
Hardware Configuration: Processor : 322M3AV Intel Core i5-11500 2.70G 12 MB 6 cores, Motherboard : HP 280 Pro G8 Microtower, RAM – 8GB, HDD-1TB. Monitor Specification: 5RD66A7 HP P204v 19.5 “, 01 Canon Network Printer.
Software Installed : Windows 11, Eclipse
Utilization of Laboratory – Second Year Computer Engineering students
| Courses Conducted in Semester -I | Courses Conducted in Semester -II |
| Data Structure and Algorithms-I (S.Y.B.Tech) | Machine Learning Laboratory (S.Y.B.Tech) |
7. Software Laboratory-VII
Hardware Configuration: 30 computers with configuration CPU INTEL i5-6400 @2.70 Ghz, M/B- ASUS Z170P, DDR4 8GB RAM,HDD- SATA 1 TB, CD/DVD ROM-Lg, Embedded kits, One Network Printer-Hp Laserjet pro 400 M401dn and all machines on centralized UPS
Software Installed : OS – LINUX [Fedora 27] ,Eclipse, Hadoop,KVM, Docker.
Utilization of Laboratory – Second Year and Third Year Computer Engineering students.
| Courses Conducted in Semester -I | Courses Conducted in Semester -II |
| Program Elective -I (T.Y.B.Tech) | Database management system Laboratory (S.Y.B.Tech) |
8. Software Laboratory -VIII
Hardware Configuration: Intel Core i3-4150@3.5 Ghz, Motherboard – Asus Intel B85 Chipset, RAM
16GB, HDD- 500GB, DVD/CD ROM – M-disc, Monitor – 19 inches LED
Software Installed: Linux Fedora 27 , Eclipse, Android Studio 3.5, Java, Python
Utilization of Laboratory: Second Year and Third Year Computer Engineering students.
| Courses Conducted in Semester -I | Courses Conducted in Semester -II |
| Program Skill Development Laboratory (T.Y.B.Tech) | Machine Learning Laboratory (S.Y.B.Tech) |
9.Software Laboratory-IX
Hardware Configuration : 33 Machines with configuration: Ci 5 7th Generation Processor, Motherboard-ASUS H110 M-CS, Cabinet I-BALL with SMPS, RAM 8 GB DDR4, HDD 1 TB SEAGATE, TFT 18.5’’ LG, 8086 kits and all interfacing kits, One Network Printer-Hp Laserjet pro 400 M401dn and all machines on UPS.
Software Installed :Fedora 26 , Ubuntu 18, Eclipse, NASM, DDD debugger, Minicom
Utilization of Laboratory : Second Year and Third Year Computer Engineering students
| Courses Conducted in Semester -I | Courses Conducted in Semester -II |
| Principles of Programming Skills Development -I Laboratory (S.Y. B.Tech) | Program Elective – III (T.Y.B. Tech) |
10.Software Laboratory-X
Hardware Configuration: 35 machines with configuration: INTEL core i5 4th generation, 3.10 Ghz, 4GB RAM, 500GB HDD, INTEL DH87RL MBD, Network Printer: 1 No. (HP Laserjet PRO M401dn), UPS: 3 Nos. (3KVA)
Software Installed: Fedora 20/21/27, Ubuntu 14.04, OpenCV, Qtcreator, KALI linux, Eclipse(JAVA, Python)
Utilization of Laboratory: Second year student of Computer Engineering students.
| Courses Conducted in Semester -I | Courses Conducted in Semester -II |
| Principles of Programming Skills Development -I Laboratory (S.Y.B.Tech) | Operating system laboratory (S.Y.B.Tech) |
11. Project Facility Laboratory
Hardware Configuration: Processor : INTEL CORE i3- 6th Generation, Motherboard–170 Chipset, RAM—8GB, HDD-1TB, DVD/CD ROM-M-disc L.G.Super-multi. Monitor Specification: 18.5” inches LED (20 MACHINES)
Software Installed: Fedora 27 , Eclipse, Android Studio 3.5, Java, Python
Utilization of Laboratory – Final Year Computer Engineering students
| Courses Conducted in Semester -I | Courses Conducted in Semester -II |
| Project work (Final Year) | Project work (Final Year) |
Introduction
We receive a competitive intake as per the rules and regulations given by AICTE. The diploma students who have secured first class can apply for direct second year admissions. We follow persistently monitored and assessed teaching learning processes and this has led us to consistently good results. We have managed 100% result in all most all subjects in final year and the marks obtained by the students are continually improving.
Consistently good academic results have taken us to highly encouraging Placement situation. More than 85% students from the department get placed through campus placements with average package increasing every year . Many of our students are keen in continuing their higher studies and secure admissions in esteemed institutions in India and abroad.
The students here are not only confined to academics but they participate and enjoy many co-curricular and extra-curricular activities. They have made us proud by winning many international, national, state and intercollegiate level events. From last three years 842 students of the Computer Engineering Department have participated in various Co-Curricular events and 211 students participated in various Extra-Curricular events.
Students participate in various Co-Curricular events such as project competitions, paper presentations, publications, Workshops, Seminars, Coding/Programming competitions, Quizzes, etc. held at state level, national level and international level throughout the academic year. Students have received national and international scholarships under Avery Dennison, Goldman Sachs,Udacity Scholarship Program, Lila Poonawalla Foundation etc. Students have also participated and won prizes in Paper Presentation in various international and national conferences.
Students also participate in various extracurricular activities like Sports, Cultural, art exhibition. Students have won various prizes in prestigious events like Purushottam karandak,Athletics Championship, Zest,Summit sports events etc.
Student Achievements
Student Achievements-Co-curricular Activities (3 years)
Student Achievements-Extracurricular Activities (3 years)
Staff Achievements
Faculty Achievements (5 years)
Introduction
Our departmental newsletter “Echo” facilitates our students and faculty members to publish their achievements and efforts. It provides a motivation to the juniors and classmates to “see and follow” the steps on the success path taken by their seniors. This also gives a reason to be proud of their classmates, seniors and faculty members.
“Echo” resembles the in house media echoing departmental activities in the form of bi annual newsletter. It reflects the success stories of our students and the faculty members. It is circulated to all students and faculty members containing information including placements, sport events, paper presentations, conferences etc. It also highlights the top- notch rankers in University and other competitive examinations.
Hereby Computer Department presents this “ECHO” for your reference
Pedagogy Practices
