DTE COLLEGE CODE: EN6732

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Students Desk


Academic Calender

Notices

SEM I 2023-24

SEM II 2023-24

Time Table

Semester-1
  1. BE
  2. SE_B
  3. SE-A
  4. SE-C
  5. TE-A
  6. TE-B
Semester-2
  1. BE
  2. SE_A
  3. SE-B
  4. SE-C
  5. TE-A
  6. TE-B

Second Year

Download

Third Year

Download

Final Year

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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.

Industry Connect (MoU)



Sr No Date of Signing MoU Signed with Industry Purpose of MoU Year of Signing Duration
1 08-04-2022 Aller Technologies Pvt. Ltd. Sposored Project, Internship 2021-22 2 Years
2 31-02-2022 Jamboree Education Pvt. Ltd. Training,Project 2021-22 3 Years
3 03-04-2023 IDP Education India Pvt. Ltd. Training 2022-23 3 Years
4 03-02-2023 Admitter Overseas Training 2022-23 2 Years
5 18-01-2023 ExcelR Solutions Training 2022-23 2 Years
6 11-08-2023 CanamPrep Training 2023-24 3 Years
7 07-08-2023 Indeed Inspiring Infotech Training, Project 2023-24 3 Years
8 07-08-2023 Prushal Technology Private Limited Training, Project 2023-24 3 Years
9 19-01-2024 iGurus Consultancy Services LLp Internship and Training 2023-24 2 Years
10 19-01-2024 SIUK Training 2023-24 2 Years
11 19-01-2024 QAcademy Training 2023-24 2 Years
12 19-01-2024 Techleaper Internship,OnJobTraining 2023-24 2 Years
13 19-01-2024 MITU Guest Lecture 2023-24 2 Years

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
4 2023-24 TE & BE Faculties Advit Labs Pune 4/08/2023
5 2023-24 SE & TE Faculties Sarvaha Systems Private Limited Pune 19/03/2024



Internships


Guest Lecture


Workshop Seminar


Technical Event

Hackathon 2k23

Hackathon 2k23

Chess Match

International mens Day

ISF Festival

National Girl Child Day

National Girl Child Day

S4DS

S4DS inaugration

Trafic Safety awareness

Trafic Safety Awareness

Cyber Jagrukta Diwas 2022 online Webinar Session

Marathi Diwas



Poster Making Competition

Engineers Day and Hindi Diwas Celebration

Navami Pooja 2022

Workshop on Effective Communication

Poster Presentation

Cultural Event

Poster presentation about awareness of NEP-2020

Students


Extra Curricular Activities


S4DS


Objectives:

  1. 1. To provide a platform for students to enhance their knowledge and skills in data science through workshops, seminars, and educational activities.
  2. 2. To facilitate collaboration among students interested in data science, creating a supportive community for sharing ideas and projects.
  3. 3. To connect students with professionals, researchers, and experts in the field of data science, enabling valuable networking experiences.
  4. 4. To engage in practical data science projects that apply analytical skills to real-world challenges, promoting hands-on learning.

Outcomes :

  1. 1. Students will acquire and develop practical data science skills, making them more proficient in data analysis, machine learning, and data visualization.
  2. 2. A robust community of students interested in data science will emerge, leading to valuable connections, collaborations, and knowledge sharing.
  3. 3. Members will have access to resources and opportunities that aid in their professional development, including internships, workshops, and guest lectures.

Activities

1. Inauguration Function of S4DS Student Chapter

Date: 05/06/2023 at 1:00 pm

The Inauguration ceremony of the Artificial Intelligence and Data Science S4DS (Society for Data Science) Student Chapter marked an important moment in our commitment to fostering data science education and research among the students. The AI&DS S4DS Student Chapter aim to provide a platform for students to explore the realm of artificial intelligence and data science, collaborate on projects and engage with industry experts.









2. Technovanza 2K23

Date : 28th October 2023 10:00 AM

Department of Artificial Intelligence and Data Science in association with S4DS Student chapter had successfully conducted the event "Technovanza 2k23" on 28 October 2023. The event attracted participants from various educational institutions of Savitribai Phule Pune University and other Universities. A variety of exciting events were conducted under TECHNOVANZA 2k23 like CloneAthon, Treasure Hunt, BGMI Tournament, Black Box Challenge & Chess. Event had a huge response from participants with positive feedback. Attractive cash prizes were also awarded to the winners.









Vision & Mission

Vision :-

    Imparting quality education in the field of Artificial Intelligence and Data Science.


Mission :-

  1. 1. To include the culture of Research and Development to meet the future challenges in AI and DS.
  2. 2. To develop technical skills among students for building intelligent systems to solve problems.
  3. 3. To develop entrepreneurship skills in various areas among the students.
  4. 4. To include moral, social, and ethical values to make students the best citizens of the country.

Program Specific Outcomes (PSO):

  1. PSO1- Professional Skills-The ability to understand, analyse and develop computer programs in the areas related to algorithms, system software, multimedia, web design, networking, artificial intelligence and data science for efficient design of computer-based systems of varying complexities.
  2. PSO2- Problem-Solving Skills- The ability to apply standard practices and strategies in software project development using open-ended programming environments to deliver a quality product for business success.
  3. PSO3-Successful Career and Entrepreneurship- The ability to employ modern computer languages, environments and platforms in creating innovative career paths to be an entrepreneur and to have a zest for higher studies.

Program Educational Outcomes (PEO):

  1. PEO1- To prepare globally competent graduates having strong fundamentals, domain knowledge, updated with modern technology to provide effective solutions for engineering problems.
  2. PEO2- To prepare the graduates to work as a committed professional with strong professional ethics and values, sense of responsibility, understanding of legal, safety, health, societal, cultural and environmental issues.
  3. PEO3- To prepare committed and motivated graduates with research attitude, lifelong learning, investigative approach, and multidisciplinary thinking.
  4. PEO4- To prepare the graduates with strong managerial and communication skills to work effectively as individuals as well as in teams.

Lab & ClassRooms

ClassRooms

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

Student Association/Chapter/Clubs

SEM I 2023-24

SEM II 2023-24


Artificial Intelligence & Data Science


Welcome to the Artificial Intelligence and Data Science Engineering Department of Ajeenkya D. Y. Patil School of Engineering, Charohli, Pune.

“To Become Center Of Excellence In Artificial Intelligence & Data Science Upholding Social Values”

Artificial Intelligence and Data Science is a new branch of study that deals with scientific methodologies, processes, and techniques drawn from different domains like statistics, cognitive science, and computing and information science to extract knowledge from structured data and unstructured data. Artificial intelligence is the process of creating machines that can think like humans, or at least mimic human behavior in some way.

AI is the hottest buzz word in technology today.AI is emerging as a field with applications and integration with several other fields offering scope for learning and propelling careers across fields and technologies. The role of an AI engineers and Data Scientist is vital to any AI or machine-learning strand within a business, and an AI Engineer is an integral part of an organization who delivers tangible solutions - the one capable of creating and maintaining architecture using leading AI technology frameworks.

The Department was established in 2020 and has a Centre of Excellence designed specifically for students’ academic growth and development.

Course Year Intake
B. E. in Artificial Intelligence and Data Science Engineering (AI and DS) 2020-21 60
2021-22 120
2022-23 120
2023-24 120

Faculty


Prof. Bhagyashree Dhakulkar

Qualification: ME(Computer Engineering), PhD pusuing
Experience: 19 Years
Email ID: bhagyashree.dhakulkar@dypic.in
Specialization: Data Science, Information Security, Fog Computing
Prof. Priyanka Waghmare

Qualification: M.E.(Computer Science)
Experience: 7 years
Email ID: priyanka.waghmare@dypic.in
Specialization: Machine Learning and Data Science
Prof. Shakti Kaushal

Qualification: ME(Embedded & VLSI System)
Experience: 4.8 Years
Email ID: shaktikaushal@dypic.in
Specialization: IOT, Computer Network
Prof. Gopika Fattepurkar

Qualification: M.E.(Computer Science)
Experience: 14 years
Email ID: fattepurkargopi@gmail.com
Specialization: Operating system, Programming
Prof. Hemangi Patil

Qualification: ME(Computer Engineering)
Experience:4 Years
Email ID: patilhemangi0@gmail.com
Specialization: Software Engineering
Prof. Rachna Chapte

Qualification: M-Tech,M.B.A(IT)
Experience:16 Years
Email ID:rachnachapte@dypic.in
Specialization: Machine Learning
Prof.Ankita Harshad Tidake

Qualification: ME(IT), PhD-Pursuing
Experience: 14 Years
Email ID: ankitatidake@dypic.in
Specialization: Agile,Project Management,Computer, Network
Prof. Payal Rushikesh Deshmukh

Qualification: ME (Computer Science & Engineering)
Experience: 6.8 Years
Email ID: payaldeshmukh@dypic.in
Specialization: OOP, Java
Prof.Sweta Anand Wankhade

Qualification: ME (CSE) PhD(Pursuing)
Experience: 7.9 years
Email ID: sweta wankhade@dypic.in
Specialization: Machine Learning and Data Science , WSN
Prof. Geeta M Kodabagi

Qualification: M.Sc, M.phil, PGDCA,(Ph.d), Data science
Experience:17 Years
Email ID: geetakodabagi@dypic.in
Specialization: Graph theory, Data science
Prof.Priyanka Shreyas Bhore

Qualification:ME (Information Technology)
Experience:5 Years
Email ID: priyankabhore@dypic.in
Specialization: Object Oriented Technology, Data Structure,Data Science
Prof. Vishakha Gedam

Qualification: ME(Computer Engineering)
Experience:5 Years
Email ID:vishakhawankhade@dypic.in
Specialization: Artificial Intelligence
Prof.Rupali Nilesh Wagh

Qualification: ME (E&Tc)
Experience: 12 years [10.5 Years teaching + 1.5 years industrial]
Email ID: rupaliwagh@dypic.in
Specialization: Digital Electronics and Data Science
Prof.Rohini N. Shrikhande

Qualification: ME (E&Tc)
Experience: 7.5 years
Email ID:rohinshrikhande@dypic.in
Specialization: VLSI and Embeded System
Prof. Sushma G. Gunjal

Qualification: ME(Computer Science & Engineering)
Experience: 12 years
Email ID:sushma.bhasgi@gmail.com
Specialization: Data Structure
Prof. Amruta Arjun More

Qualification: ME(Computer Science)
Experience: 4 years
Email ID:amrutamore@dypic.in
Specialization: Networking and Artificial Intelligence
Prof. Neelam Jain

Qualification: M.Tech(Computer Science & Engineering)
Experience: 17 Years
Email ID: neelamjain@dypic.in
Specialization: AI and ML
Prof. Varsha Babar

Qualification:M.E.(Computer Science & Engineering)
Experience: 4 Years
Email ID: varshababar@dypic.in
Specialization:Object Oriented Programming
Ms. Kritika Purohit

Qualification: PhD (Pursuing)
Experience: 7 Years (6 years teaching +1.5 years Industry)
Email ID:kritikapurohit@dypic.in
Specialization: Data Encryption and Security
Prof. Supriya Dattatray Survase

Qualification: M.E.(Computer Science & Engineering)
Experience:5.8 Years
Email ID:supriyasurvase@dypic.in
Specialization: Data Structure
Prof. Neha Verma

Qualification:M.Tech (IT)
Experience: 7 years(Industry. 3.5 yrs, Teaching 3.5 yrs)
Email ID: nehaverma@dypic.in
Specialization: Fundamental in Data Structures, Operating System, Discrete Mathematics, Software Engineering
Mrs.Ashwini Aniket Shinde

Qualification:ME Computer Engineering
Experience:9 Years
Email ID: Ashwinis@dypic.in
Specialization: Database management system
Prof. Pooja Dehankar

Qualification:BE (Computer), CDAC, ME (IT)
Experience:16 Years
Email ID: poojadehankar@dypic.in
Specialization: Artificial intelligence, Cyber security, Web technology
Prof. Jayshree Yogesh Suryawanshi

Qualification:M-Tech(VLSI Design)
Experience:12.5 Years
Email ID:jayshreesuryawanshi@dypic.in
Specialization: VLSI Design

Non-Teaching Faculty


Shubhangi Amol Sawant

Qualification: B.Com and Computer Diploma
Experience: 12 years
Email ID:shubhangi.sawant@dypic.in
Specialization: Lab Assistant
Prof.Pratiraj Maruti Dalvi

Qualification: BA Computer Diploma
Experience: 4 Years
Email ID: pratirajdalvi@dypic.in
Mauli H.Pawar

Qualification: BSc
Experience: 2 Years
Email ID: maulipawar327@gmail.com
Specialization: Microcontroller,documentation
Akshay S. Burde

Qualification: Diploma(Computer Science)
Experience: 2 Years
Email ID:akshayburde@dypic.in
Specialization: Software/technician/Documentation

HoD Profile



Prof. Bhagyashree Dhakulkar

Head of the Department
(Artificial Intelligence & Data Science)
Email-id: hod_aids@dypic.in

Department of AI&DS 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 AIDS Engineering as undergraduate student and we hope to be part of your success.