DTE COLLEGE CODE: EN6732

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PO (Program Outcomes)

Mission :-

  1. PO1. Engineering knowledge: An ability to apply knowledge of mathematics, including discrete mathematics, statistics, science, computer science and engineering fundamentals to model the software application.
  2. PO2. Problem analysis: An ability to design and conduct an experiment as well as interpret data, analyze complex algorithms, to produce meaningful conclusions and recommendations.
  3. PO3. Design/development of solutions: An ability to design and development of software system, component, or process to meet desired needs, within realistic constraints such as economic, environmental, social, political, health & safety, manufacturability, and sustainability.
  4. PO4. Conduct investigations of complex problems:An ability to use research based knowledge including analysis, design and development of algorithms for the solution of complex problems interpretation of data and synthesis of information to provide valid conclusion.
  5. PO5. Modern tool usage: An ability to adapt current technologies and use modern IT tools, to design, formulate, implement and evaluate computer based system, process, by considering the computing needs, limits and constraints.
  6. PO6. The engineer and society: An ability of reasoning about the contextual knowledge of the societal, health, safety, legal and cultural issues, consequent responsibilities relevant to IT practices.
  7. PO7. Environment and sustainability: An ability to understand the impact of engineering solutions in a societal context and demonstrate knowledge of and the need for sustainable development.
  8. PO8. Ethics: An ability to understand and commit to professional ethics and responsibilities and norms of IT practice.
  9. PO9. Individual and team work :An ability to apply managerial skills by working effectively as an individual, as a member of a team, or as a leader of a team in multidisciplinary projects.
  10. PO10. Communication: An ability to communicate effectively technical information in speech, presentation, and in written form
  11. PO11. Project management and finance: An ability to apply the knowledge of Information Technology and management principles and techniques to estimate time and resources needed to complete engineering project.
  12. PO12. Life-long learning: An ability to recognize the need for, and have the ability to engage in independent and life-long learning.

Course Outcomes PDF:

Industry Connect (MoU)


2023-24 Active Status


Sr No Date of Signing MoU Signed with Industry MoU Signed by Year of Signing Duration
1 29/01/2021 to 28th January 2026 ITESKUL of Pune ,Maharashtra Prof. Priti Rathod 2021-26 5 Years
2 01-06-2022 IIT Kanpur Prof. Priti Rathod,Amruta Chitari 2022-27 5 Years
3 31-03-2022 Jamboree Education Pvt ltd Prof.Pallavi Shimpi 2022-25 3 Years
4 03-02-2022 Digital Parv Socal Venture Association Prof.Amruta Chitari 2022-23 2 Years
5 04-07-2022 Inflow Technologies Pvt. Ltd Prof.Amruta Chitari 2022-23 1 Years
6 11-08-2023 Thundercube pvt. ltd Prof. Ishwar Bharambe 2023-27 3 Years
7 03-05-2023 ORAIT Prof.Pallavi Shimpi 2023-25 2 Years
8 11th Sept 2023 IFS academy Center of Excellence Prof.Amruta Chitari 2023-24 3 Years
9 23-06-2023 DCDIUM Pvt. Ltd Dr.Pankaj Agarkar 2023-24 2 Years
10 19-01-2024 Divine Harmony Prof.Anita Mahajan 2024 2 Years
11 19-01-2024 Fourise Solutions Prof.Anita Mahajan 2024-25 1 Years
12 Signed in 2024 Hematite Prof.Anita Mahajan 2023-24 2 Years
13 Signed in 2024 iGurus Prof.Anita Mahajan 2023-24 2 Years
14 Signed in 2024 MoU Prof. Minal Toley 2023-24 2 Years
15 Signed in 2024 Shoption Prof.Anita Mahajan 2023-24 2 Years
16 Signed in 2024 Ampergula Software Solutions Prof. Sangeeta Mohpatra 2023-24 2 Years

Student Achievements





Student Achivement PDF








Parents Teacher Meeting 2023

Co-Curriculam Activities

Industrial Visit



Sr. No. Academic Year Year (FE/SE/TE/BE) Name of Industry Place Date
1 2022-23 TE ISRO Banglore 13/10/2022
2 2023-24 TE ISRO Banglore 10/10/2023
3 2023-24 BE Rajiv Gandhi center of Advanced Technology Jaipur 8/01/2023



Internships

TE Comp Internship Information for A. Y. 2022-23

TE Comp Internship Completion Status 2021-22

Guest Lecture

Guest Lecture


Parent Teachers Meeting











Parents Teacher Meeting 2023

Vision & Mission

Vision :-

    To achieve excellence in computer engineering through quality education.


Mission :-

  1. M1: To provide effective teaching learning process and research.
  2. M2: To impart skill based education through centre of excellence.
  3. M3: To encourage higher education through continuous learning.
  4. M4: To nurture social and ethical values in students to make them as responsible citizen.

Program Specific Outcomes (PSO):

  • Students will be able to:
    • PSO1: Apply computing techniques to analyse, design and development of computer based applications.
    • PSO2: Understand the evolutionary changes in computing, apply standard practices and strategies to develop a quality solution for real world problems.
    • PSO3: Incorporate professionals, social, ethical, effective communication practices in project development.

Program Educational Outcomes (PEO):

  1. Our graduates will be able to:
    • PEO1: Be globally competent having strong fundamentals, domain knowledge, updated with modern technology to provide the effective solutions for engineering problems.
    • PEO2: Work as a committed professional with strong professional ethics and values, sense of responsibilities, understanding of legal, safety, health, societal, cultural and environmental issues.
    • PEO3: Be committed and motivated graduates with research attitude, lifelong learning, investigate approach and multidisciplinary thinking.

Course Outcomes PDF:

Program Outcomes (PO)

Mission :-

  1. PO1. Engineering knowledge: An ability to apply knowledge of mathematics, including discrete mathematics, statistics, science, computer science and engineering fundamentals to model the software application.
  2. PO2. Problem analysis: An ability to design and conduct an experiment as well as interpret data, analyze complex algorithms, to produce meaningful conclusions and recommendations.
  3. PO3. Design/development of solutions: An ability to design and development of software system, component, or process to meet desired needs, within realistic constraints such as economic, environmental, social, political, health & safety, manufacturability, and sustainability.
  4. PO4. Conduct investigations of complex problems:An ability to use research based knowledge including analysis, design and development of algorithms for the solution of complex problems interpretation of data and synthesis of information to provide valid conclusion.
  5. PO5. Modern tool usage: An ability to adapt current technologies and use modern IT tools, to design, formulate, implement and evaluate computer based system, process, by considering the computing needs, limits and constraints.
  6. PO6. The engineer and society: An ability of reasoning about the contextual knowledge of the societal, health, safety, legal and cultural issues, consequent responsibilities relevant to IT practices.
  7. PO7. Environment and sustainability: An ability to understand the impact of engineering solutions in a societal context and demonstrate knowledge of and the need for sustainable development.
  8. PO8. Ethics: An ability to understand and commit to professional ethics and responsibilities and norms of IT practice.
  9. PO9. Individual and team work :An ability to apply managerial skills by working effectively as an individual, as a member of a team, or as a leader of a team in multidisciplinary projects.
  10. PO10. Communication: An ability to communicate effectively technical information in speech, presentation, and in written form
  11. PO11. Project management and finance: An ability to apply the knowledge of Information Technology and management principles and techniques to estimate time and resources needed to complete engineering project.
  12. PO12. Life-long learning: An ability to recognize the need for, and have the ability to engage in independent and life-long learning.

Course Outcomes PDF:

Lab Details :-

Hardware and Networks Lab

Laboratory Hardware-

HP Pro 3330 MT PC Desktop. Intel Core i3 2100 (20) Printer Epson LQ 1150( 01) 89X51 rd2 Besed development Board (03), PIC development board 12c ADC-DAC card (03), Stepper Moter Inerfacing Card (03), 4X4 Interfacing Card

LABORATORY SOFTWARE-

Operating System:-MS Windows 7, Fedora-19
Software Installed:-MS Office 2010, MASM, TASM, NASM, Latex

Computer Graphics Lab

Laboratory Hardware-

HP Pro 3330 MT PC Desktop. Intel Core i3 2100 (20)
Printer Epson lQ 1150( 1)

LABORATORY SOFTWARE-

Operating System:-MS Windows 7, Fedora - 18
Software Installed:-MS Office 2010, VB 6.0, Oracal 11g, Ecalips, Java-Jdk, Turbo C C++

Post-Graduation Lab (PG)

Laboratory Hardware-

HP Pro 3330 MT PC Desktop. Intel Core i3 2100 (25) Printer Epson LQ 1150 ( 01)

LABORATORY SOFTWARE-

Operating System:-MS Windows 7, Ubuntu-13 Software Installed:-MS Office 2010, NS3, JAVA-JDK, Libre Office,

Programming and Data Structures Lab

Laboratory Hardware-

HP Pro 3330 MT PC Desktop. Intel Core i3 2100 (22) Printer :Epson Dotmatrix LQ1150( 1)

LABORATORY SOFTWARE-

Operating System:-MS Windows 7, Fedora 19 Software Installed:-MS Office 2010, MASM,TASM, NASM, TC, Latex

Research & Development Tools Lab ( PG)

Laboratory Hardware-

HP Pro 3330 MT PC Desktop. Intel Core i3 2100 (20) Printer Cannon laserjet LBP2900 ( 1) Printer HP laserjet 1020 Plus (1)

LABORATORY SOFTWARE-

Operating System:-MS Windows 7, Ubuntu-13 Software Installed:-MS Office 2010, NS3, Libre Office

Software Development Tools Lab

Laboratory Hardware-

HP Pro 3330 MT PC Desktop. Intel Core i3 2100 (22) Printer Epson LQ 1150( 1)

LABORATORY SOFTWARE-

Operating System:-MS Windows 7, Fedora 19 Software Installed:-MS Office 2010, Visual Studio 2010, Sql Server, TC, Paython

Software Lab

Laboratory Hardware-

HP Pro 3330 MT PC Desktop. Intel Core i3 2100 (23) Printer Epson LQ 1150( 1)

LABORATORY SOFTWARE-

Operating System:-MS Windows 7, Fedora - 19 Software Installed:-MS Office 2010, Visual Studio, Java-JDK, Eclips, VB 6.0,

Digital Electronics & Microprocessor Interfacing

Laboratory Hardware-

HP Pro 3330 MT PC Desktop. Intel Core i3 2100 (23) Printer Epson LQ 1150( 1)HP Pro 3330 MT PC Desktop. Intel Core i3 2100 (05), Teaching Aids DYNA-86L #3978 to 398 (7), Dx-3030 30 MHz Dual channel Oscilloscope(2), Dx- 6101 3 1/2 Digital Multimeter(1), Dx- 1101 30 MHz 125 Msals 8'' TFT Color Display Digital Storage Oscilloscope (1), Digital Trainer kit

LABORATORY SOFTWARE-

Operating System:-MS Windows 7, Ubuntu-13 Software Installed:-MS Office 2010, Xilinx, NASM, TASM.

Computer Center

Laboratory Hardware-

HP 3090 PC Desktop, HP Pro 4000 MT Desktop. Printer Epson LQ(02)

LABORATORY SOFTWARE-

Operating System:-MS Windows 7, Ubuntu-13 Software Installed:-MS Office 2010, Eclips, Autocad, Metlab, Creo 2.0

Foreign Language Training Center

Laboratory Hardware-

HP Pro 3330 MT PC Desktop. Intel Core i3 2100 (22) Printer Epson LQ 1150( 1)

LABORATORY SOFTWARE-

Operating System:-MS Windows 7, Fedora 19 Software Installed:-MS Office 2010, Visual Studio 2010, Sql Server, TC, Paython

Departmental Library

Departmental Library contain more than 600 Books

Lab. No.

Name of Laboratory

Area

Cost

321

Project Lab  Laboratory

66 Sq. m.

8,48,868.00

325

Data Structures and Programming  Laboratory

66 Sq. m.

14,77,117.02

 

327

Hardware &Network Lab

66 Sq. m.

12,25,388.00

330

Computer Graphics Lab

66 Sq. m.

9,69,772.00

338

Computer  Laboratory

66 Sq. m.

1264526.00

339

Digital Electronics &Microprocessor Lab

66 Sq. m.

8,58,943.00

333

Software  Laboratory

66 Sq. m.

1264526.00

331

Software Development Tools  Laboratory

66 Sq. m.

10,27,067.00

Computer Engineering (UG)


The department of Computer Engineering started its journey in the year 2010 with an initial intake of 60 students to cater to the requirement of trained Engineers in the field of Computers. The department is presently having a Under Graduate (UG) course in Computer Engineering, with an intake capacity of 120 students and Post Graduate (PG) course in Computer Engineering with an intake capacity of 24 students. The department has modern laboratories which are equipped with latest computers, software's and peripherals. The student to computer ratio is maintained of 1:1, with 24 X 7 internet facility and WiFi. We also boast of modern infrastructure facilities and beautiful ambience to support overall development of the stakeholders. Our aim is to create skillful Computer Engineers enthused with the soul of polished methodology and mindful responsibility. To achieve this, we have competent, dedicated and highly motivated staff to train our students. Besides the regular class room teaching, we conduct special trainings in soft skills programs (personality development, communication skills, group discussions, debate, etc.) and foreign language programs (Japanese and German) which are a continuous process for development of students to facilitate better placement opportunities. The Department is known for its excellent results in academics. The department has signed many MoUs with different organizations for the advanced programing languages and foreign language courses. Our staff is motivated to carry out research work in varied fields like: Database, Data warehousing, Data Mining, Networking, Wireless Communication, Image Processing, Wireless Sensor Networks, Deep Learning, Artificial Intelligence and Robotics and Internet of Things (IoT) etc.We expect our students to take the advantage of the facilities in the department, gain knowledge and excel in their chosen career

Intake Capacity: 180

Choice Code: 673224510

Faculty


Dr. Nilesh Mali

Qualification: M.E. (IT), PhD (computer Science)
Experience: 19 Years
Email ID: nileshmali@dypic.in
Specialization: Cloud Technology, Data Science,Data analytics
Dr.Pankaj Agarkar

Qualification: PhD (Computer Engineering), BE , ME Comp Engg, MBA (IAE), ADC-E
Experience: 25 Years
Email ID: pankaj.agarkar@dypic.in
Specialization:Data Mining, High performance Computing
Dr. Anita Sachin Mahajan

Qualification: ME (Computer Network), PhD (Pursuing)
Experience:18 Years
Email ID: anitamahajan@dypic.in
Specialization: Machine Learning, Data Analytic
Dr. Tushar Phadtare

Qualification: PhD (Computer Science)
Experience: 10 Year
Email ID: phadtaretushar@dypic.in
Specialization: Machine Learning , Database Management System
Dr. Vinay Nagalkar

Qualification: Ph.D,(Electronics), PG (AIML), MBA(HR), ME (DE), BE (E&TC)
Experience: 15 Years
Email ID: vinaynagalkar@dypic.in
Specialization: Artificial Intelligence, Machine Learning, DSP, DIP, CV
Dr. Deepti Varshney

Qualification: Ph. D (CSE), M. Tech(CSE)
Experience: 18 Years
Email ID: deeptivarshney@dypic.in
Specialization: Image processing, Computer network, cyber security and Artificial Intelligence
Prof. Pallavi M. Shimpi

Qualification: M.E. (CE), PhD (Pursuing)
Experience:13.8 Years
Email ID: pallavi.shimpi@dypic.in
Specialization: AI, Machine Learning & Algorithms
Prof.Jayashree Chaudhari

Qualification: M.Tech IT,PhD(Registered)
Experience: 17 Years
Email ID: jayashree.chaudhari@dypic.in
Specialization: AI, Machine Learning, Data Mining
Prof. Amruta Chitari

Qualification: M.E. (CE), PhD (Pursuing)
Experience: 12 Years
Email ID: amruta.chitari@dypic.in
Specialization: AI, Machine Learning, Data Mining
Prof. Ashwini Pandagale

Qualification: M-Tech,Phd (Pursuing)
Experience: 9.3 Years
Email ID: ashwini.pandagale@dypic.in
Specialization: AI, Machine Learning, Data Mining,IoT
Prof. Minal Toley

Qualification: M Tech (Computer Science and Engineering)
Experience:11 Years
Email ID: minal.tole@dypic.in
Specialization: Artificial intelligence Machine Learning ,Data Science and Image Processing
Prof. Bhagyashri Vyas

Qualification: M Tech (Computer Science and Engineering)
Experience: 7 Years
Email ID: bhagyashri.vyas@dypic.in
Specialization: AWS, Discrete Mathematics
Prof.Swarupa B.Kamble

Qualification: M. E. (computer Engg)
Experience: 9.5 Years
Email ID: swarupa.kamble@dypic.in
Specialization: Software Testing
Prof. Ujvala Patil

Qualification: ME(Computer Science and Engineering)
Experience: 6 Years
Email ID: ujvalapatil@dypic.in
Specialization: Database management and system
Prof. Gauri Rasane

Qualification: M.E. in Computer Engineering
Experience:4.5 Years
Email ID: gaurirasane@dypic.in
Specialization: Computer networks and Security
Prof. Swati Bagade

Qualification: M.E. in Computer Engineering
Experience:3.5 Years
Email ID: swatibagade@dypic.in
Specialization: Data Science and Mining ,Machine Learning
Prof. Prajakta Jadhav

Qualification: M.E. in Computer Engineering
Experience: 2.5 Years
Email ID: prajaktajadhav@dypic.in
Specialization: Machine Learning
Prof. Manisha Wasnik

Qualification: ME (Digital electronics), PhD (Pursuing)
Experience:14 Years
Email ID: manishawasnik@dypic.in
Specialization: Digital Electronics, Speech Processing and Machine Learning
Prof. Renuka R. Gavli

Qualification: M.E. (CE)
Experience: 14 Years
Email ID: renukagavli@dypic.in
Specialization: Data science, Data Mining, Machine Learning
Prof. Priti Rathod

Qualification: ME ( computer science and engineering)
Experience: 10 Years
Email ID: Pritirathod@dypic.in
Specialization: IOT
Prof. Jayashri Waman

Qualification: M.E. in Computer Engineering
Experience:7 Years
Email ID: jayashri.waman@dypic.in
Specialization: Data Science and Mining ,AI, Network Security
Prof. Ishwar Nemidas Bharambe

Qualification: ME ( computer Science and Engineering) , PhD (Pursuing)
Experience:13 Years
Email ID: ishwarbharambe@dypic.in
Specialization: AI and Machine Learning
Prof. Yashanjali Sisodiya

Qualification: ME(Computer Engineering)
Experience:10.6 Years
Email ID: yashanjalisisodia@dypic.in
Specialization: ML , Data science, cloud
Prof. Akanksha sohani

Qualification: M-Tech(Computer Engineering)
Experience:2 Years
Email ID: akankshasohani@dypic.in
Specialization: NLP tools(Computer Science)
Prof. Ashlesha Adsul
Qualification: ME (E&TC)
Experience: 5 Years
Email ID: ashleshaadsul@dypic.in
Specialization: Raspberry Pi,Basic Electronics
Prof.Pooja Mohbansi

Qualification: M. E. (computer Engg)
Experience: 6.8 Years
Email ID: poojamohbansi@dypic.in
Specialization: Image Processing
Prof. Sangeeta Mohapatra

Qualification: M. E. (Information Technology)
Experience: 10 Years
Email ID: sangeetamohapatra@dypic.in
Specialization: Machine Learning, Image Processing, Data Analytics
Prof. Suvarna Alhat

Qualification: ME(Computer Engineering)
Experience:12.6 Years
Email ID:suvarnaalhat@dypic.in
Specialization: Machine Learning,Data Mining.
Prof. Shubhangi Vardendra Ingale

Qualification: B.E.(Computer),ME (IT)
Experience: 13.8 Years
Email ID: shubhangiingale@dypic.in
Specialization: Data Analytic ,Data science ,Data Warehousing & Mining
Prof. Yogita Kishor Deshmukh

Qualification: B.E.(IT),ME (Computer)
Experience: 3.7 Years in IT
Email ID: yogita.deshmukh@dypic.in
Specialization: Automation in Software Testing
Prof. Radhika Kokate

Qualification: B.E,ME (Computer)
Experience: 1.3 Years
Email ID: radhika.kokate@dypic.in
Specialization: BI, Database,Image Processing
Prof. Priyanka Vijay Dagadkhair

Qualification: B.E,ME (Computer)
Experience: 3 Years
Email ID: priyanka.dagadkhair@dypic.in
Specialization: Machine learning, software Testing, database management system
Dr. Anamika Jain

Qualification: M.Tech
Experience: 3.5 Years
Email ID: anamika.jain@dypic.in
Specialization: image processing, machine learning, deep learning, and biometrics

Non-Teaching Faculty


Mr. Omkar Patil

Qualification: MBA (Marketing Management)
Experience: 5 years(Tech Assistant)
Email ID:omkar.patil@dypic.in
Specialization: Lab Assistant
Niteen N Kanade

Qualification: Hardware & Networking,B.Com
Experience: 9 Years
Email ID: niteenkanade@dypic.in
Priyanka Akshay Patil

Qualification: Diploma (Electronics &Telecommunication)
Experience: 7 years
Email ID:priyankathorat@dypic.in
Mithun Ramchandra Rasal

Qualification:ITI , Diploma (Electronics),
Experience: 19 Years
Email ID:mithunrasal@dypic.in
Kavita Maheshkumar Shinde

Qualification:MSC (Computer Science ) & Diploma in Software Testing
Experience: 11 Years
Email ID:kavitashinde@dypic.in

HoD Profile



Dr. Nilesh Mali

Professor & Head

Department of Computer Engineering is committed to excellence in teaching, and inculcating a sense of pride and confidence in our students. The objective is to empower our students with latest technical knowledge and skills by providing them with the best teaching faculty, lab facilities and excellent research and development environment. The motivation is not just to nurture their technical skills but to provide professional grooming and guidance so that our students come-up as thorough professionals and inspiring individuals. To meet the objectives, the department pays special emphasis on teaching and hands on practical work. The students exhibit their learning through their projects in the final years of curriculum. Thanks to the efforts of our management, faculty and our students, we continue to play a leading role in our discipline. We welcome all the students to the department of Computer Engineering as undergraduate or post graduate student and we hope to be part of your success.