Established in the year 1993, Computer Engineering Department of Smt. Indira Gandhi College of Engineering is one of the oldest institution under Mumbai University. Being in close vicinity to Thane Belapur Industrial area, Mindspace and DhirubhaiAmbani Knowledge City (DAKC), it is well connected for transport and being amidst the industrial belt has additional advantage of industrial exposure.
Department has spacious and well-equipped laboratories with state-of-the-art technologies. The backbone of the department arethe well qualified and experienced faculty members who are always ready to extend a helping hand to our students. The students are guided all year round by assigning mentors who look into their overall development.
Along with imparting quality education, the department also aims at the overall development of students by providing various opportunities in the form of technical paper presentations, industry expert talks, technical festivals (TechFest), sports events, cultural activities and much more.
For keeping the students up-to-date with the industry requirements, various clubs such as Machine Learning Club, IoT club, Coding Club etc. are conducted on a regular basis throughout the year. Department also celebrates its Department day “Techfiesta” enthusiastically where students from all years come together and participate in quizzes, mind games, cultural activities, teacher’s interaction, fun and food.
We encourage students for higher studies and extensive training sessions both for soft skills as well as for technical expertise conducted by the Training and Placement Cellassist students in getting 100 percent placement in the best of companies.
Computer Department treats everyone as a family and celebrate all the big festivals together. This strong bonding helps not only in building a positive atmosphere but also encourages students to spread their wings and thing out-of-the-box.
Vision :
- To be recognized in the industry and society as an excellent center of education in the field of computer engineering.
Mission :
- 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 students through technical, social and holistic activities.
Program Educational Objectives :
- Successful Career: Graduate will analyze the requirements of the problem in computer engineering, understand the technical feasibility, design and provide efficient engineering solutions with ethical values.
- Lifelong learning: Graduates will engage in lifelong learning by doing higher studies and adapt for ever changing industrial and social demands.
- Social Awareness: To train the graduates for a career and work through values & social concern.
Program Specific Outcomes :
Graduates will be able to:
- Apply the principles of mathematics, data structure and algorithm to solve the problem.
- Understand the functionality of hardware and software of computer system and its applications.
- Participate in planning and implement solution through leadership and professional ethics.
Dr. Kishor T. Patil ( ME., PhD )
Email: kishor.patil@sigce.edu.in
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.
Career Opportunities :
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.
| SR. NO. | STAFF NAME | DESIGNATION |
|---|---|---|
| 1 | DR. SHANKAR PATIL | PROFESSOR |
| 2 | DR.KISHOR T. PATIL | ASSO. PROFESSOR |
| 3 | MS. CHANDRAN DIPTI | ASST. PROFESSOR |
| 4 | MR. SELVAMURUGAN KASI | ASST. PROFESSOR |
| 5 | MR.KUCHIWALE SATISH | ASST. PROFESSOR |
| 6 | MS. JADHAV REVATI | ASST. PROFESSOR |
| 7 | MRS. KHEDIKAR SARITA | ASST. PROFESSOR |
| 8 | MS. SHARDHA CHAUDHARI | ASST. PROFESSOR |
| 9 | Mrs. VAISHALI YEOLE | ASST. PROFESSOR |
| 10 | Mrs. JASPRIT KAUR | ASST. PROFESSOR |
| 11 | MRS. ANJALIDEVI PATIL | ASST. PROFESSOR |
| 12 | MS. PUJA VAKHARE | ASST. PROFESSOR |
| SECOND YEAR ENGINEERING | ||
|---|---|---|
| Sr. No. | SEMESTER-III | SEMESTER-IV |
| 1 | Engineering Mathematics-III | Engineering MathematicsIV |
| 2 | Discrete Structures and Graph Theory | Analysis of Algorithm |
| 3 | Data Structure | Database Management System |
| 4 | Digital Logic Design AndComputer Architecture | Operating System |
| 5 | Computer Graphics | Microprocessor |
| 6 | Data Structure Lab | Analysis of Algorithm Lab |
| 7 | Digital Logic Design And Computer Architecture Lab | Database Management System Lab |
| 8 | Computer Graphics Lab | Operating System Lab |
| 9 | Skill base Lab course : Object Oriented Programming with Java | Microprocessor Lab |
| 10 | Mini Project – 1A | Skill Base Lab Course: Python Programming |
| 11 | Mini Project 1-B | |
| THIRD YEAR ENGINEERING | ||
| Sr. No. | SEMESTER-V | SEMESTER-VI |
| 1 | Theoretical Computer Science | System Programming & Compiler Construction |
| 2 | Software Engineering | Cryptography & System Security |
| 3 | Computer Network | Mobile Computing |
| 4 | Data Warehousing & Mining | Artificial Intelligence |
|
5
|
Department Level Optional Course- 1 | Department Level Optional Course -2 |
| Probabilistic Graphical Models Internet Programming | Internet of Things | |
| Advance Database Management System | Digital Signal & Image Processing | |
| Quantitative Analysis | ||
| 6 | Software Engineering Lab | System Programming & Compiler Construction Lab |
| 7 | Computer Network Lab | Cryptography & System Security Lab |
| 8 | Data Warehousing & Mining Lab | Mobile Computing Lab |
| 9 | Professional Comm. & Ethics II | Artificial Intelligence Lab |
| 10 | Mini Project: 2 A | Skill base Lab Course: Cloud Computing |
| 11 | Mini Project Lab: 2B | |
| FOURTH YEAR ENGINEERING | ||
| Sr. No. | SEMESTER-VII | SEMESTER-VIII |
| 1 | Machine Learning | Human Machine Interaction |
| 2 | Big Data Analytics | Distributed Computing |
|
3
|
Department Level Optional Course-3 | Department Level Optional Course -IV |
| Machine Vision | High Performance Computing | |
| Quantum Computing | Natural Language Processing | |
| Natural Language Processing | Adhoc Wireless Network | |
|
4
|
Department Level Optional Course-4 | Institute Level Optional Course-II |
| Augmented and Virtual Reality | Environmental Management | |
| Block Chain | ||
| Information Retrieval | ||
|
5
|
Institute Level Optional Course-1 |
Human Machine Interaction Lab
|
| Disaster Management & Mitigation Measures | ||
| 6 | Machine Learning Lab | Distributed Computing Lab |
| 7 | Big Data Analytics Lab | Cloud Computing Lab |
|
8
|
Department Level Optional Course-3 Lab |
Computational Lab-II
|
| Machine Vision Lab | ||
| Quantum Computing Lab | ||
| Natural Language Processing Lab | ||
|
9
|
Department Level Optional Course-4 Lab |
Major Project-II
|
| Augmented and Virtual Reality Lab | ||
| Block Chain Lab | ||
| Information Retrieval Lab | ||
| 10 | Major Project 1 | |
We at Computer Engineering department believe in collective efforts, research, creativity and innovation. We allow students to choose project domain which in turn help to society also.
Project Titles:
- Physiotherapy app using pose estimation and CV
- Web scraping using Python
- Whatsapp clone using MERN stack
- Comparison of background subtraction algorithm for detecting events in uncontrolled outdoor video
- Implementation of online live tutoring and learning application.
- An android based wellness App for preventive health care system.
- Comparative analysis of a proposed hybrid approach and 3mixed model approach in Stock Market prediction
- Skin cancer detection using genetic algorithm.
- Attendance calculation by image processing from manually entered sheets.
- A garbage monitoring and alert system using Image processing
- Automated question paper generator system to aid in recruitment system
- Prediction of movies box office performance using social media
- An adaptive education system to reveal the student engagement habits.
- Prototype for controlling computer by hand movements , voice commands and unlocking the system by eye retina
- Implementing a 2-stage crawler for efficiently harvesting deep web interfaces.
- Implementation to achieve flatness by selecting honey words from user passwords.
- Botnet domain name detection based on machine learning.
- Implementing a Disaster information system using Geo Fencing.
- Implementation of hybrid cloud approach for secure authorized de- duplication
- Data leakage detection using water marking in cloud computing
One Day Seminar on Neuro Linguistic Programming
Our department has organized one day seminar on “Neuro Linguistic Programming” for SE/TE students. Prof. N B Joshi Sir taught to students some memorization techniques. Suppose, there a series of terms or words you need to memorize, especially if they are in order, create a story that leads you to the next word. Students enjoyed a session with some practical exercise.
- It is powerful way to improve learning & memory.
- NLP principles helps to student for enjoyment, better decision & life choices & building peaceful environment.
- NLP helps to students develop positive perception, promote communication skill, boost the process of appearance, memory & intelligence.
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
1. Lab Name: Software Engineering & Testing Lab
Location of Laboratory: 501
Area of Laboratory:
Laboratory Incharge: Mrs. Jaspreet Kaur
Laboratory Equipments:
Hardware: HP RCTO 280, Intel core i5 10400, 2.9 GHz/ Intel Core 2 DUO , 8 GB/ 4 GB RAM, 1 TB SATA/ 500 GB HDD,18.5″ TFT/ 17″ Monitors, Printers,Internet, Networking Devices – Switches, Routers. WiFi
Operating System: Windows 10, Ubuntu 22.04 LTS
Utilization of Laboratory: For S.E., T.E. & B.E. Comp
2. Lab Name : Computer Graphics Lab
Location of Laboratory: 503
Area of Laboratory:
Laboratory Incharge: Mr. U. V, Pawar
Computer graphics lab deals with all aspects of creating images using computers and the representation and manipulation of image data by computer. It uses different methods for digitally synthesizing and manipulating visual components in the animation and video game industry.
Laboratory Equipments:
Hardware: Intel core Duo , 2 GB RAM,320 HDD,17″ LED Monitor (25 nos.),high speed printer ,internet facility
Operating System: Windows 10, 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:
Laboratory Incharge: Mrs. Vaishali Yeole
Laboratory Equipments:
This lab combines Cloud Computing and Machine Learning techniques to explore a variety of problems in engineering. It helps to develop fundamental, next generation cloud that supports service oriented computing.
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
4. Lab Name : Computer Networking Lab
Location of Laboratory: 508 (505 A)
Area of Laboratory:
Laboratory Incharge: Mrs. Shradha Chaudhari
This lab is dedicated for students to work on practical experiments, projects and research work related to courses such as Computer Networks, Wireless Networks, Mobile Communications, Internet of Things. Computer Network lab are interconnected through LAN and Wi-Fi. The lab consists of workstations, various types of high and branded routers, switches having good configuration to support IT-Infrastructure on the campus.
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
5. Lab Name : Database Management Lab
Location of Laboratory: 506 (505 B)
Area of Laboratory:
Laboratory Incharge: Mr. Sachin Desai
This lab is dedicated for students to work on practical experiments, projects work, related to courses such as Database Management Systems, Distributed Data Computing, Hadoop, Data Warehousing and Mining, and Big Data Analysis.
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.
Software: Windows 10, Ubuntu 22.04 LTS
Utilization of Laboratory: For S.E., T.E. & B.E. Comp
6. Lab Name : Computer Center Lab
Location of Laboratory: 216 & 217
Area of Laboratory:
Laboratory Incharge: Mr. Satish Kuchiwale
Laboratory Equipments:
Hardware: Intel core Duo,2 GB RAM,320 HDD,17″ LED Monitor (25 nos.), high speed printer ,internet facility
Software: Windows 7 Pro & Turbo C, C++
Operating System: Ubuntu 12.04, Windows 7
Utilization of Laboratory: For S.E., T.E. & B.E. Comp
7. Lab Name : Multimedia Lab
Location of Laboratory: 507 (505 C)
Area of Laboratory:
Laboratory Incharge: Mr. Satish Kuchiwale
This lab introduces about basic fundamentals and key aspects of multimedia system. It gains knowledge of compression techniques, multimedia communication, text & digital image, digital audio, digital video, multimedia network communication and representation and multimedia security standards along with technology environment.
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
Software: Windows 7 Pro & Turbo C, C++,
Operating System: Windows 10, Ubuntu 22.04 LTS
Utilization of Laboratory: For S.E., T.E. & B.E. Comp